Copyright 2002, Benny C. Shaw, Jr.
Transcript of Copyright 2002, Benny C. Shaw, Jr.
THE EVALUATION OF A WEB-BASED METACOGNITIVE TOOL:
THE EFFECT OF PROBLEM-CENTERED REFLECTION ON THE
DEVELOPMENT OF LEARNING STRATEGIES ASSOCIATED
WITH THE DIAGNOSTIC REASONING PROCESS
by
BENNY CHARLES SHAW, JR., B.S., M.S.
A DISSERTATION
IN
INSTRUCTIONAL TECHNOLOGY
Submitted to the Graduate Faculty of Texas Tech University in
Partial Fulfillment of the Requirements for
the Degree of
DOCTOR OF EDUCATION
Approved
Chairp/r^ of the Committee
Accepted
Dean of the Graduate School
December, 2002
Copyright 2002, Benny C. Shaw, Jr.
ACKNOWLEDGEMENTS
1 would like to express my appreciation to my friends and family who have
supported and encouraged me during the completion of this dissertation. 1 would also
like to thank the members of my committee for their guidance during this process.
First, 1 wish to thank the chair of my doctoral committee. Dr. Nancy J. Maushak,
for her support and continued encouragement during my graduate studies and the
dissertation process. Her willingness to work with me through a year of uncertainty has
been instrumental in the successful completion of this dissertation.
1 also wish to express my gratitude to the other members of my doctoral
committee, Dr. Steven Crooks, Dr. Reid Norman, and Dr. Roman Taraban, for giving
their time, guidance, and support in the completion of this dissertation.
I dedicate this work to my family. Without their support and encouragement
during the last four years, this endeavor would not have been possible. To my son, Tony,
I want to say thanks for your patience and understanding in this seeming endless
undertaking. To my wife, Rayma, thank you for your love and support during this
process. A lifetime of thank yous would still not express the gratitude, appreciation, and
love that my family deserves for their patience during this last year.
TABLE OF CONTENTS
ACKNOWLEDGEMENTS ii
ABSTRACT vi
LIST OF TABLES viii
LIST OF FIGURES x
CHAPTER
I. INTRODUCTION 1
Statement of Problem 1
Purpose of the Study 4
Research Questions 6
Null Hypotheses 6
Significance of the Study 7
Limitations of the Study 8
Definitions of Terms 9
II. REVIEW OF THE LITERATURE 12
Introduction 12
Instructional Models 12
Medical Diagnostic Reasoning Process and Cognitive Theories 16
Cognitive and Metacognitive Tools in Healthcare Education 19
Summary 23
111
III. METHODOLOGY 25
Introduction 25
Web-Based Tool Design 25
Variables 28
Population, Sample, and Participant Characteristics 29
Design and Treatments 36
Instruments 48
Statistical Analysis 51
Measuring the Effects of Problem-Centered Reflection 52
Measuring the Development of Learning Strategies
and the Changes in Motivation 55
Summary 56
IV. RESULTS 58
Introduction 58
Statistical Analyses 58
Findings for Null Hypothesis 1 59
Findings for Null Hypothesis 2 59
Findings for Null Hypothesis 3 61
Findings for Null Hypothesis 4 66
Findings for Null Hypothesis 5 68 Summary 75
iv
V. DISCUSSION, CONCLUSION, AND IMPLICATIONS
FOR FURTHER RESEARCH 78
Introduction 78
Discussion 80
Conclusions 89
Limitations of the Study 92
Implications for Further Research 93
Summary 94
LIST OF REFERENCES 96
APPENDIX
A. CONSENT FORM AND DEMOGRAPHIC DATA 101
B. MSLQ QUESTIONNAIRES 104
C. SESSION OBJECTIVES 116
D. ACHIEVEMENT EXAMINATION 118
E. EXAMPLES OF ESSAY CODINGS FOR EACH RATER 133
F. IRB APPROVAL AND TRANSCRIPT 137
ABSTRACT
Medical students in a conventional medical curriculum are unable to integrate
knowledge learned in the basic sciences and apply that knowledge to clinical situations
(Gruppen, 1997; Bamett, 1995). This study examined the effect of a web-based
metacognitive tool on medical student development of learning strategies and the changes
in motivation that are associated with the diagnostic reasoning process.
The data presented in this study provide information on the development of
learning strategies in a hybrid instructional environment consisting of lecture-based
instruction and problem-centered reflection. The questions addressed by this study were:
1. What are the effects of problem-centered reflection on achievement?
2. What are the effects of problem-centered reflection on depth of learning?
3. What are the effects of problem-centered reflection on the use of reflection
time during examinations?
4. What are the effects of problem-centered reflection on the structure and
complexity of learned knowledge?
5. What effect does problem-centered reflection have on the development of
learning strategies and the changes in motivation?
The study of medical diagnostic decision-makmg has mainly been based on the
reasoning process in simulated case studies. The theoretical approaches to these studies
include information processing theory and schema theory (Greenwood, 1998, 2000). In
problem-centered reflection, a clinical problem is the focal point about which data are
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organized, interpreted, and integrated. Problem-centered reflection combines aspects of
both Information Processing and Schema Theories.
The participants in this study were medical students who were enrolled in the first
year of medical school and were randomly assigned to the direct instruction and problem-
centered reflection groups. The direct instruction group accessed the web-based direct
instruction tutorial while the problem-centered reflection group accessed the web-based
metacognitive tool. The participants accessed the appropriate web-based learning
activities for approximately one hour each day for two weeks which corresponded with
the Upper Extremity Unit in Gross Anatomy. This quasi-experimental study examined
the effects of problem-centered reflection on achievement, depth of learning, reflection
time during examinations, and structure and complexity of learned knowledge.
vu
LIST OF TABLES
3.1 Sample by Age 30
3.2 Sample Demographics 31
3.3 Direct Instruction Participants by Age 33
3.4 Direct Instruction Demographics 34
3.5 Problem-Centered Reflection Participants by Age 35
3.6 Problem-Centered Reflection Demographics 36
3.7 Experimental Design 47
3.8 Cronbach Alpha's for MSLQ Scales 50
3.9 Three Levels of Knowledge Structure and Complexity 54
4.1 Description of Achievement by Groups 59
4.2 Two-Way Analysis of Variance between Treatment Groups
and Question Type on Achievement 60
4.3 Description of Time Needed to Answer Question by Groups 62
4.4 t-Test between Treatment Groups on Time to Answer Question 64
4.5 Muhivariate Analysis of Essay Statement Types by Treatment Groups 66 4.6 Means and Standard Errors of Essay Statement Types by
Treatment Groups ^7
4.7 Cronbach Alphas for Form A, Form B, and from the Literature 69
4.8 Description of Pre Test Scales by Groups 70
4.9 Description of Post Test Scales by Groups 71
viu
4.10 Analysis of Variance between Pre/Post Test and Treatment Group for the Intrinsic Motivation Scale 72
4.11 Analysis of Variance between Pre/Post Test and Treatment Group for the Extrinsic Motivation Scale 72
4.12 Analysis of Variance between Pre/Post Test and Treatment Group for the Elaboration Scale 73
4.13 Analysis of Variance between Pre/Post Test and Treatment Group for the Critical Thinking Scale 74
4.14 Analysis of Variance between Pre/Post Test and Treatment Group for the Metacognitive Self-Regulation Scale 75
5.1 Description of Participants 80
IX
LIST OF FIGURES
1.1 An Example of a Clinical Vignette with Multiple Choice Answers 4
3.1 Curricular Systems Integration 26
3.2 Layout and Relationships of the SQL Tables in the Student Information, Curriculum Management, and Student Portfolio Systems 28
3.3 Objectives Presented at the Beginning of the Session 38
3.4 Content Delivery During Session 39
3.5 Content Delivery Followed by Practice 40
3.6 Formative Feedback when Selecting an Answer 42
3.7 Problem-Centered Reflection at the End of a Session 43
3.8 Peer Review of Another Participant's Reflection 45
3.9 Reviewed the Peer Evaluation of the Participant's Reflection 46
5.1 Achievement Means by Treatment Group 81
5.2 Essay Statement Types by Treatment Groups 86
E.l Researcher Essay Coding Example 1 133
E.2 Researcher Essay Coding Example 2 134
E.3 Researcher Essay Coding Example 3 134
E.4 Subject Matter Expert Essay Coding Example 1 135
E.5 Subject Matter Expert Essay Coding Example 2 135
E.6 Subject Matter Expert Essay Coding Example 3 136
CHAPTER I
INTRODUCTION
The aim of medical education is to produce competent physicians. A competent
physician has the knowledge and diagnostic skills to deliver patient care in an increasing
complex environment. Medical knowledge is immense and constantly changing, which
creates a difficult task for students in learning this expanding medical knowledge base.
The challenge for medical educators is to teach students to utilize the knowledge and
diagnostic skills that are required in our complex health care delivery system.
This chapter will state the problem with the instructional strategies currently used
in medical education. The constraints imposed on medical education by the United States
Medical Licensing Examination (USMLE) will be stated. The conclusion of this chapter
will put forth the purpose of this study.
Statement of Problem
Advances in the cognitive sciences over the past two decades have had little effect
on medical education. Nearly all medical students pass the required courses and make
acceptable scores on USMLE exams regardless of the curriculum design. This may be
due to the fact that high-aptitude students, like medical students, succeed regardless of the
instructional strategy used (Cronbach & Snow, 1977).
Medical students in a conventional lecture-based curriculum are unable to
integrate knowledge learned in the basic science courses and apply that knowledge to
clinical situations involving diagnosis and treatment of patients (Gruppen, 1997; Bamett,
1995). In response to medical students' inability to integrate and apply basic science
knowledge in clinical situations, a curriculum solely based on problem-based learning
(PBL) was implemented at numerous institutions (Camp, 1996). However, in most
studies comparing conventional lecture-based curricula to problem-based curricula, little
or no significant difference in medical student performance as measured by the USMLE
was reported (Way, Hudson, & Biagi, 2000; CoUiver, 2000). Norman and Schmidt
(1992) reviewed experimental evidence supporting possible differences in medical
students' learning and found that PBL students retain knowledge much longer than
students in a conventional curriculum. However, the PBL students' initial knowledge
base may be less extensive (Albanese & Mitchell, 1993).
An inability to integrate basic science knowledge in clinical situations may also be
the result of the system used to select students for admission to medical school. Students
accepted to medical school have survived the highly selective admission process. This
admission process begins by examining the students past academic record. According to
Norman and Schmidt (2000), students admitted to medical school are "a highly selected
and atypical group." These students have demonstrated the ability to succeed in lecture-
based courses for fifteen or more years. These students have also succeeded on the
Medical College Admission Test (MCAT). The admission criteria select for students that
thrive in a lecture-based environment and do not select for critical-thinking skills
(Albanese, 2000; Norman & Schmidt, 2000).
Most comparisons of conventional lecture-based curricula to problem-based
curricula m medical education have been based on performance on USMLE
examinations (Way et al., 2000). Students relying on rote memorization adopt a
"surface" approach to learning (Nu, Van Der Vleuten, & Lacombe, 1998). The USMLE
may contribute to a medical student's reliance on rote memorization and a "surface"
approach to learning. The USMLE is a three-step examination that assesses a physician's
ability to apply knowledge, concepts, and prmciples that are important in health care
(http://www.usmle.org). The format and construction of the USMLE Step 1 imposes
constraints on medical education by requiring a broad knowledge base in order to obtain a
passing score. These questions can arise from a large number of concepts and the content
of the examination can change from year-to-year.
A full content outline for the Step 1 examination ...describes the scope of the examination in detail... The content outline is not intended as a guide for curriculum development or examinee preparation. It provides a flexible structure for test construction that can readily accommodate new topics, emerging content domains, and shifts in emphasis. The categorizations and content coverage are subject to change. Broadly based learning that establishes a strong general understanding of concepts and principles in the basic sciences is the best preparation for the examination. (United States Medical Licensing Examination, 2001, p. 4)
The questions on the USMLE examinations are based on clinical vignettes with multiple
choice answers. An example of a clinical vignette with multiple choice answers is
presented in the USMLE Content Outline (Figure 1.1).
A 32-year-old woman with type 1 diabetes mellitus has had progressive renal failure over the past 2 years. She has not yet started dialysis. Examination is noncontributory. Her hemoglobin concentration is 9 g/dL, hematocrit is 28%, and mean corpuscular volume is 94 |im3. A blood smear shows normochromic, normocytic cells. Which of the following is the most likely cause?
A. Acute blood loss B. Chronic lymphocytic leukemia C. Erythrocyte enzyme deficiency D. Erythropoietin deficiency E. Immunohemolysis F. Microangiopathic hemolysis G. Polycythemia vera H. Sickle cell disease I. Sideroblastic anemia J. 6-Thalassemia trait
Figure 1.1. An Example of a Clinical Vignette with Muhiple Choice Answers (United States Medical Licensing Examination, 2001, p. 4).
The problem in medical education is to provide students with a broad, integrated
knowledge base, and to enable students to develop learning strategies that are essential to
diagnostic reasoning.
Purpose of the Study
The purpose of this study is two-fold. First, this study will examine the effects of
problem-centered reflection on various indicators of learning. These indicators include
achievement, depth of learning, reflection time during examinations, and structure and
complexity of learned knowledge. Achievement and depth of learning will assess the
reliance on rote memorization or the use of integrated knowledge. The reflection time
during examinations will measure, m milliseconds, the amount of time needed to reflect
on and answer each question in the achievement examination. The integration of
knowledge will be assessed by using an essay question to elicit the structure and
complexity of the knowledge the student has on an anatomical area.
Second, this study will examine the effect of the use of this web-based
metacognitive tool on medical student development of learning strategies and the changes
in motivation that are associated with the diagnostic reasoning process. The diagnostic
reasoning process is a series of actions carried out in order to propose a solution to a
clinical problem. Underlying the diagnostic reasoning process are learning sfrategies that
are applied by the healthcare practitioner or student to analyze and reflect on clinical data
and prior knowledge in order to arrive at a diagnosis. The diagnostic reasoning process
consists of:
• Identifying relevant data,
• Organizing and nesting data, and
• Integrating prior knowledge with these data to diagnose the patient.
This study will also document the development of two integrated web-based
systems. The two systems will integrate with one another in order to provide a web-based
tool for problem-centered reflection. A web-based metacognitive tool that integrates
problem-centered reflection with course objectives will be developed as part of a student
portfolio system. A student information system will be simulated and used to regulate
access to the system.
Research Questions
The research questions addressed by this study are:
1. What are the effects of problem-centered reflection on achievement?
2. What are the effects of problem-centered reflection on depth of learning?
3. What are the effects of problem-centered reflection on the use of reflection
time during examinations?
4. What are the effects of problem-centered reflection on the structure and
complexity of learned knowledge?
5. What effect does problem-centered reflection have on the development of
learning strategies and the changes in motivation?
Null Hypotheses
In this study comparing direct instruction to problem-centered reflection, I will
address the following null hypotheses:
1. Problem-centered reflection will not enhance learning as measured by a
multiple choice examination.
2. Problem-centered reflection will not contribute to the development of deep,
integrated knowledge as measured by muhiple choice questions.
3. Problem-centered reflection will not resuU in an increase in the use of
reflection to determine an answer during an examination.
4. Problem-centered reflection will not increase the structure and complexity of
learned knowledge.
5. The use of a problem-centered reflection tool will not enhance the
development of learning strategies and the changes in motivation in medical
students as measured by the Motivated Strategies for Learning Questionnaire
(MSLQ):
a. infrinsic and extrinsic goal orientation,
b. metacognitive self-regulation,
c. critical-thinking,
d. organization, and
e. elaboration.
Significance of the Study
This study will document the development of a web-based metacognitive tool that
integrates problem-centered reflection with course objectives. The design of the student
portfolio database will allow the association of clinical vignettes or problems with
lecture-based material.
This study will examine the effect of the use of this web-based metacognitive tool
on medical student development of learning strategies and the changes in motivation that
are associated with the diagnostic reasoning process. The researcher contends that
integrating this web-based tool with conventional lecture instruction will provide students
with a broad, integrated knowledge base, and enable the students to develop the learning
strategies needed to integrate and apply this knowledge base. The data presented in this
study will also provide information on the development of learning sfrategies in a hybrid
instructional environment consisting of lecture-based instruction and problem-centered
reflection.
Limitations of the Study
There are several limitations to the generalizability of this study. The study was
based on self-selected, voluntary participation of medical students and the generalization
of results to other populations of students may be lunited. The study collected data from
questionnaires and an achievement examination with a small sample of students. It is
important to note that the sample is a convenience sample taken from one university
setting. They were randomly assigned to the comparison groups, but they were not
randomly sampled from the total population.
This study also examined a very specific computer tool for medical education,
which was designed to promote problem-centered reflection on prior basic science
knowledge and the structure of learned basic science knowledge. Other computer tools
have different purposes, and may not have similar effects on reflection and knowledge
structure. One cannot generalize that using this tool in another course outside of a basic
science course in medical education would have the same effects.
The overall focus of this study is on the development of learning sfrategies and the
changes in motivation that are essential for the development of diagnostic reasoning
skills. However, it should be noted that this study does not attempt to examine the role of
collaboration in the development of these skills.
Definitions of Terms
Cognitive tools are technologies that support knowledge construction, exploration,
collaboration, or elaboration when used by students to learn (Jonassen, 2000).
Problem-based learning (PBL) is an instructional practice used in medical
education where students in small groups solve clinical problems. Through these clinical
problems, students identify, research, and discuss learning issues relevant to the problem
(Irby, 1996).
Problem-centered reflection is a term I created to describe the process of reflecting
on the structure and organization of prior knowledge with respect to a clinical situation
(problem).
Reflection is an intellectual process whereby a learner takes time to consider an
experience in order to lead to new understandings (Boud, Keogh, & Walker, 1985).
The following terms are scales defined by the Motivated Strategies for Learning
Questionnaire. Metacognitive self-regulation, critical thinking, organization, and
elaboration are learning strategies that are associated with the diagnostic reasoning
process.
Critical-thinking is the activation and application of prior knowledge to new
situations in order to solve a problem or make a decision (Pinfrich et al., 1991). The
identification of relevant data in the diagnostic process activates prior knowledge and
thus, utilizes a critical thinking learning sfrategy. Critical thinking is a learning strategy
that incorporates an evaluation of various factors that are important to decision-making.
Critical thinking is the use of those cognitive skills or sfrategies that increase the probability of a desirable outcome. It is used to describe thinking that is purposeful, reasoned and goal directed - the kind of thinking involved in solving problems, formulating inferences, calculating likelihoods, and making decisions when the thinker is using skills that are thoughtful and effective for the particular context and type of thinking task. (Halpem, 1996, p. 5)
This definition of critical thinking suggests that critical thinking learning sfrategies would
also be used when the student mtegrated prior knowledge with learning issues.
Elaboration is a leammg strategy that helps students to build internal connections
between knowledge items. Elaboration strategies are used to reorganize and classify
information (Pinfrich et al., 1991). The integration of prior knowledge with the learning
issues identified in the diagnostic reasoning process would be the use of an elaboration
learning strategy.
Goal orientation is a student's perception of the reasons for engaging in a learning
task. The goal orientation can be infrinsic or exfrinsic. Intrinsic goal orientation refers to
"participating in a task for reasons such as challenge, curiosity, and mastery" while an
extrinsic goal orientation refers to "participating in a task for reasons such as grades,
rewards, performance, evaluation by others, and competition" (Pintrich, Smith, Garcia, «&
McKeachie, 1991, pp. 9-10). The confidence a learner has in his ability to succeed in a
course can affect the learner's motivation (Gibson, 1996; Powell, Conway, & Ross,
1994). A learner will be intrinsically motivated to continue in a situation if he believes he
can succeed in that situation (Coggins, 1988).
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Metacognitive self-regulation is a sfrategy that consists of planning, monitoring,
and regulating the integration, application, and organization of information and prior
knowledge with respect to a task (Pinfrich et al., 1991). The entire diagnostic reasoning
process uses the metacognitive self-regulation learning sfrategy. The identification of
relevant data and learning issues associated with the clinical problem requires the learner
to monitor their knowledge structures. The organization and nesting of data and the
integration of information use the metacognitive self-regulation learning sfrategy.
Organization is a learning strategy that helps students construct connections
within the information to be learned through the clustering and nesting of information
(Pintrich et al., 1991). In the diagnostic reasoning process, an organization learning
sfrategy would be used when the learner organizes and nests data to generate learning
issues.
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CHAPTER II
REVIEW OF THE LITERATURE
Introduction
The overall focus of this study is on the development of learning sfrategies and the
changes in motivation associated with the diagnostic reasoning process. The purpose of
this chapter is to provide an overview of the research in medical education concerning the
development of a broad, integrated knowledge base and the application of this knowledge
in a clinical setting. This review is comprised of three main sections. First, the two main
instructional models and their limitations will be discussed. Second, research on the
medical diagnostic decision process will be presented in relation to two cognitive
theories. Third, the use of cognitive and metacognitive tools in healthcare education will
be discussed.
Instructional Models
Conventional Lecture-Based Instruction
Conventional lectures have a place in well-designed curricula and are a very
efficient use of the faculty's time. Conventional lectures provide students with a structure
for learning and an exposure to a broad knowledge base (Way et al., 2000). However,
lectures alone have limited effectiveness because sfridents are passive recipients of
information rather than actively engaging information. In studies comparing classrooms
that use active learning as opposed to passive learning, active learning results in a greater
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retention of material, superior problem-solving skills, and motivation for fiiture learning
(McKeachie, Pintrich, Lin, & Smith, 1987).
In lecture-based curricula, students adopt a "surface" approach to leammg by
relying on rote memorization (Nu et al., 1998). Students using a "surface" approach to
learning have at best a superficial imderstanding of the material. A superficial
understanding of the material may contribute to an incomplete integration of prior
knowledge with the new information.
This conventional curriculum is based on presenting students with a broad, up-to-
date knowledge base over the first two years of the curriculum. In the second two years,
the students are expected to integrate this knowledge in clinical medicine. In clinical
medicine, students are divided into small groups that spend six to twelve weeks in a
clinical clerkship. In the third year, students complete four six-week clinical clerkships in
Family Medicine, Pediafrics, Psychiatry and Obstefrics/Gynecology; and two twelve-
week clinical clerkships in Internal Medicine and Surgery.
Problem-Based Learning
In some schools, medical education is beginning to move away from traditional
didactic lectures to acquisition of knowledge through problem-based leaming (Trelstad &
Raskova, 1993; Wu, LaRocco, Fath, & Simon, 1990). The problem-based leaming (PBL)
curriculum is based on authentic problems from clinical practice that stmiulate the
leaming process (Barrows, 1994). PBL utilizes a student-centered approach to leaming
by actively involving the student in information gathering, information evaluation, and
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problem solving. PBL is based on the idea that expertise is a repository of cases that
emphasizes leaming through experience (Macura et al., 1994).
Problem-based leaming was developed in the medical education community in the
mid-1960s (Camp, 1996). Central to PBL is the learner's ability to take an active role in
the leaming process, to collaborate with others, and to acquire transferable knowledge.
The PBL model is used in many medical schools in the first two years of the basic science
curriculum mstead of the conventional lecture-based courses (Savery & Duffy, 1995).
Students are divided into groups and presented with a simulated patient or patient record.
The students must identify relevant data within the patient record, organize and nest data
to generate leaming issues, integrate prior knowledge with these issues, and diagnose the
patient. In PBL, the students' prior knowledge relevant to the problem is insufficient to
understand the problem in depth (Norman & Schmidt, 1992). Therefore, the students,
like physicians, are responsible for gathering information pertinent to the learning issues
from any available resources. Students are encouraged to utilize all resources available to
them including fellow students, textbooks, joumal articles, elecfronic databases, and
experts. By identifying and gathering information relating to the leaming issues, students
direct or self-regulate their own leaming activities (Pintrich et al., 1991).
Problem-based curricula are assumed to reflect the understanding of the
conditions of human leaming (Norman & Schmidt, 1992). According to Dohnans,
Gijselaers, Schmidt, and Van Der Meer (1993), PBL is assumed to promote situational
learning, activate prior knowledge, increase infrinsic motivation, and promote lifelong
leaming skills. Research in the cognitive sciences has shown that knowledge acquired
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through activities that are motivating and related to one's interest is leamed more deeply
than rote memorization (Cognition and Technology Group at Vanderbik, 1993). Self-
directed leaming, information gathering, and reflection are skills used in PBL that are
conducive to lifelong leaming.
Smdents in a problem-based curriculum, as compared to conventional lecture-
based settings, determme what information is relevant, and they modify their leaming to
satisfy their own needs and interests (Dohnans et al., 1993). Sfridents in a PBL
curriculum adopt a "deep" approach to leaming by engaging in meaningfiil leaming that
enables the student to better understand the material (Nu et al., 1998). In PBL curricula, a
potential disadvantage is the development of a narrow knowledge base that is applicable
only to the clinical situations studied (O'Neill, 2000).
Qualitative methods have also been used to document how students make sense of
the PBL environment. Biley (1999) found that students were concemed about not being
exposed to a broad enough knowledge base in the PBL process. According to Biley
(1999), prior experiences in fraditional didactic lectures may contribute to the
development of the leamer's perception of his ability to succeed in the educational
setting - the leamer's academic self-concept. Students found it difficult to reconcile their
academic self concept with the requirements of PBL. The students saw themselves as
fact-leamers instead of problem-solvers.
The confidence a leamer has in his ability to succeed in a course can affect the
leamer's motivation. If a leamer believes he can succeed in a given situation, then that
leamer will be intrinsically motivated to continue in that situation. Otherwise, if the
15
leamer does not have confidence in his ability to succeed in that sittiation, then the leamer
has little or no motivation to continue in that situation (Coggins, 1988). The leamer is
basically resigning himself to fail in that situation. An exfreme resignation by the leamer
to fail in a particular situation is known as leamed helplessness (Dweck, 1986). In PBL,
the lack of stmcture and the sttadents' negative academic self-concept could lead to a
leamed helplessness situation. This is suggested by statements from student interviews,
the students believed that they were not leaming at all in the PBL environment (Biley,
1999).
Medical Diagnostic Reasoning Process and Cognitive Theories
Understanding the process in which clinicians make medical diagnostic decisions
has long held the interests of researchers in medical education. In order to understand the
medical diagnostic reasoning process, a number of quantitative and qualitative studies
have been undertaken to describe and document this process (Bordage, Grant, &
Marsden, 1990; Benner, Tanner, & Chesla, 1996; Greenwood, 1998, 2000; Taylor, 1997).
According to Greenwood (1998), theoretical approaches to the study of medical
diagnostic decision-making have mainly been based on the reasoning process in
simulated case studies. The approaches include mformation processing theory and
schema theory (Greenwood, 1998, 2000).
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Information Processing Theory
Information Processing Theory focuses on how a person processes information
they receive from the environment. Information Processing Theory describes the mental
events in cognition as a flow of information. The information flow consists of receiving
the data, interpreting the data and integrating the data with a goal. Elstein, Shuhnan, and
Sprafka (1990) developed a model of the medical diagnostic reasoning process based on
Information Processing Theory that consists of four phases: (1) data collection, (2)
hypothesis generation, (3) cue interpretation, and (4) hypothesis evaluation.
According to Benner et al. (1996), Information Processing Theory consists of
conscious and unconscious processing of information. They go on to state that the more
knowledgeable or expert a person, the more that person processes information
unconsciously. In comparing the decision process in expert and novice nurses, Taylor
(1997) demonstrated differences in each of the four stages of the medical diagnostic
reasoning process theory put forth by Elstein. Pre-encounter data (data collection) is
collected at moming report or from the chart before meeting the patient. Expert nurses
are more involved and engaged with the moming report. Novice nurses are unable to
interact because they recognize few cues due to limited experience. When meeting the
patient, expert nurses are able to recognize many of the patient's signs and symptoms (cue
interpretation). The novice nurses are unable to recognize any signs or symptoms in a
meaningful way. When generating hypotheses, novices use single cues to generate a
single hypothesis and ignore cues that do not fit that hypothesis. On the other hand,
expert nurses use muhiple cues and generate muhiple hypotheses (Taylor, 1997).
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Schema Theory
In Schema Theory, a body of knowledge is organized about a specific topic. In
other words, knowledge is grouped and generalized to form mental models (Ormrod,
1999). Schemas formed about events are called scripts. Procedural knowledge translated
into hierarchically organized instmctional units is also called scripts (Greenwood, 2000).
Therefore, expert medical diagnostic reasoning can be classified as scripts of diagnostic
decisions.
Script acquisition, or the hierarchical organization of procedural knowledge,
occurs in three phases: cognitive, associative, and autonomous. As a leamer progresses
through these phases, they become less reliant on declarative knowledge (Greenwood,
2000). In examining how radiologists interpret radiographs, a "think aloud" process was
used to document the reasoning process (Prime & Masurier, 2000). This procedure
demonstrated that radiologists were making decisions by rapidly processing the clinical
sittxation. The radiologists were also using knowledge that was organized into integrated
chunks. For example, a statement such as "I can't see if he's doing an oblique..." is,
according to Prime and Le Masurier (2000), indicative of encapsulating anatomy,
pathology, and radiological knowledge into a single script.
To understand the medical diagnostic reasoning process, qualitative and
quantitative studies have compared expert and novice medical diagnostic decision
making processes (Bordage et al., 1990; Benner et al., 1996; Greenwood, 1998, 2000;
Taylor, 1997). Little work has been conducted on the change in the use of leaming
18
sfrategies and motivation that may occur when a sttxdent fransitions from a didactic to an
applied environment.
Cognitive and Metacognitive Tools in Healthcare Education
Information technology has been used in PBL in order to facilitate and document
the leammg process. According to Jonassen (2000), students use technologies to leam
when the technology supports knowledge constmction, exploration, collaboration, or
elaboration. As students leam with technology, the technology becomes a cognitive tool.
When students use technology to analyze their leaming and intemalized knowledge
stmctures, the technology becomes a metacognitive tool. A number of computer-based
tools have been used in Healthcare education including concept maps, patient
simulations, and reflection.
Concept Maps
Concept maps are metacognitive tools that allow a student to diagram and assess
their thmking process (Daley, Shaw, & Balistrieri, 1999). Diagnostic Ability was
measured by Bordage et al. (1990) using a self-reporting tool (Diagnostic Thinking
Inventory) that they developed and validated. The Diagnostic Thinking Inventory (DTI)
measures flexibility in thinking and the stioicture of knowledge in memory as it pertains to
diagnostic thinking (Sobral, 1995). DTI scores increase with the level of clinical
experience and the stmcture of knowledge in memory is related to the level of diagnostic
expertise (Bordage et al., 1990). Concept maps are spatial representations of the stt^cttire
19
of knowledge in memory with concepts as nodes and connecting lines that represent
relationships between each concept (Jonassen, 2000). In this section, I will discuss how
concept maps are being used with problem-based leaming to help students to sttiicttire
knowledge in their memory.
Students used concept maps to generate clinical concepts and their relationships in
a PBL case (Baugh & Mellott, 1998). By mapping concepts, subconcepts, and
relationships in a PBL case, the student is able to assess thek own knowledge and gaps
within their knowledge (Baugh & Mellott, 1998; Daley et al., 1999). Several studies have
examined the use of clinical concept mapping with case studies of patients in advanced
nursing courses (Baugh & Mellott, 1998; Daley et al., 1999). In a medical-surgical
nursing course, one concept map was requfred for each assigned patient in the clinical
setting and each map was updated as the students leamed throughout the course (Baugh
& Mellott, 1998).
In a senior level course, students created three concept maps depicting the
relationships of the patients, pathophysiologic factors, pharmacologic factors, and nursing
intervention (Daley et al., 1999). In both studies, students were infroduced to concept
mapping at the beginning of the course and the complexity of the concept maps improved
as the courses progressed. The student responses were positive overall. However, the
sttadents felt that leaming and applying the technique of concept mapping required an
adjusttnent period to get comfortable in using the technique (Baugh & Mellott, 1998) and
some students stated that they felt "lost" during the process of creating the maps at the
beginning of the course (Daley et al., 1999).
20
Simulating Patient Assessment
A current application of PBL is as a simulation of patient assessment and
diagnosis (Rendas, Pinto, & Gamboa, 1999; Schor et al., 1995; Wrosch & Morgan,
1998). The PBL computer system presents clinical information about a simulated patient
assessment in six steps: step 1 - corresponds to the initial patient encounter; step 2 -
present mitial details about the ilhiess; step 3 - gives a review of the body systems; step 4
- personal and social background information gathering; step 5 - physical examination;
and step 6 - laboratory and diagnostic findings (Rendas et al., 1999). Different portions
of the PBL presentation can use muhimedia aspects of the computer to present digital
images of the patient, radiographs, and other test resuhs; digital heart and lung sounds;
and digital videos of movement of tt-emors to name a few (Molino, 1991; Schor et al.,
1995).
Reflection
Reflection is an intellectual process whereby a leamer takes time to consider an
event in order to lead to new understandings (Boud et al., 1985). With respect to the
event, reflection can occur before, during, and after the event (Boud, 2001). After an
event, reflection allows the leamer to analyze and evaluate information gained from the
event (Bunkers, 2000). Reflection during an event was best described by Schon (1983) as
reflection-in-action - interpreting information during the event and the affect of the
leamer's participation in the event. Reflection before an event allows the leamer to focus
on the context of the event, to activate prior leaming that is perceived to be associated
21
with the event, and to focus on the leaming sfrategies needed to acquire knowledge from
the event (Boud, 2001).
In PBL, computer-based tools have been used in a limited way for reflection -
through documentation of the process. The initial presentation of the clinical problem is
followed by the generation of clinical concepts or leaming issues that need to be
considered for that particular clinical presentation (Mooney, Bligh, Leinster, & Warenius,
1995; Ohles & Maritz, 1998; Rendas et al., 1999; Wrosch & Morgan, 1998). In some
cases these lists were elicited and stored in a notepad provided by a computer interface
(Mooney et al., 1995; Rendas et al., 1999).
Hypotheses are generated from the initial patient encounter (Rendas et al., 1999;
Schor et al., 1995) and can be documented using computer software. As fiirther
information is presented or located, the student integrates the new knowledge with prior
knowledge and the hypotheses may be modified and saved using a computer interface. In
this way, the evolution of the hypotheses generation and modification is documented
(Rendas etal., 1999).
The initial clinical presentation activates prior knowledge (cognitive tool) while
also helping the students to identify areas where they have a gap in knowledge
(metacognitive tool). In allied health and nursing, web-based search engines for the
World Wide Web (AltaVista, Yahoo, etc.) and web-based search engines for library
databases (First Search, ERIC, etc.) are used to locate the pertinent information
(Niederhauser, Bigley, & Hale, 1999; Ohles & Maritz, 1998). In all health sciences,
especially medicine, web-based search engmes for biomedical databases (MEDLINE,
22
MD Consult, etc.) are used to locate the information needed to 'fill-in the gaps' in the
student's knowledge (Mooney et al., 1995; Rendas et al., 1999; Schor et al., 1995;
Wrosch & Morgan, 1998).
The use of different technologies as higher-order-thinking tools in health science
education has been accomplished using problem-based leaming. PBL utilizes a
constmctivist approach to leaming by actively involving the student in information
gathermg and problem solving. Problem-based leaming involves the use or creation of
clmical cases to promote the leaming of particular concepts that are targeted to leamer's
level of study (Wofford & Wofford, 1997). Higher-order thinking is used when
technology helps students employ concept maps, simulations, and reflection in clinical
problem-solving scenarios.
Summary
This chapter provided an overview of the research in medical education
conceming the development of a broad, integrated knowledge base and the application of
this knowledge in a clinical setting. The review of the literature presented two main
instmctional models, conventional lecture-based instmction and problem-based leaming,
and their limitations. Conventional lecture-based instmction has limited effectiveness
because students are passive recipients of information rather than actively engagmg
information. Students in a PBL curriculum engage in meaningfiil leaming that enables
the student to better understand the material. However, a potential disadvantage in PBL
23
is the development of a narrow knowledge base that is applicable only to the clinical
situations studied.
This chapter continued with a discussion of the research on the medical diagnostic
decision process and related the process to two cognitive theories, information processing
theory and schema theory. The chapter ended by discussing the use of cognitive and
metacognitive tools in healthcare education.
24
CHAPTER III
METHODOLOGY
Infroduction
This quasi-experimental study examined the effect of the use of a web-based
metacognitive tool on the development of leaming sfrategies and changes in motivation
associated with the diagnostic reasoning process. This chapter describes the methodology
that was used in this study including the web-based tool design, independent and
dependent variables, population and sample selection, the research design and treatments,
instmments and the statistical analysis of the data.
Web-Based Tool Design
The web-based metacognitive tool prompted students to reflect on prior leaming
objectives and document their relationship to a particular clinical situation. This
metacognitive tool is a component of a Student Portfolio System. The concepttial design
of the portfolio system and its relationship to other curricular systems is illusttated in
Figure 3.1. For the purposes of this study, the Sttident Information Systems component
was simulated to protect the integrity of the data within this critical system.
The basic design of the web-based tool relied on the integration of a Student
Portfolio System with a Sttident Information System. The integration of these systems
provided the sttident with the appropriate web-based interface depending upon the group
(direct insttiiction or problem-based reflection) to which the sttident was assigned. The
25
web-based interface presented the sttident with problem-centered reflection exercises and
peer evaluation of the reflections (feedback) or direct instiiiction ttitorials with computer-
based feedback. In both groups, the content of the insttoiction was held constant by using
the same set of objectives while the delivery of the insttuction was varied.
Student Information System • Student Identification • Group status
•Control • Treatment
Student Portfolio System • Control Group
• Direct instmction tutorials • Computer-based feedback
• Treatment Group • Reflection on Knowledge Stmcture •Peer evaluation of reflections (feedback)
Figure 3.1. Curricular Systems Integration.
The two systems are basically information systems that store their information in a
relational database. The Student Portfolio System was constmcted using a Microsoft
SQL database (http://www.microsoft.com). The Student Information System at the
institution is a proprietary database from SCT Corporation (http://www.sct.com).
However, the Student Information System was simulated using Microsoft SQL in this
26
study in order to protect the anonymity of the participants and to protect the mtegrity of
the data in the institution's student information system.
The Student Portfolio System integrated with the Student Information System to
identify and authenticate students through a web-based interface. The Student
Information System was also used to validate the participants' status withm the study.
The status of the participant was classified as either a member of the direct instmction or
problem-centered reflection group. At the beginning of the study, each participant used a
web-based interface to the Student Information System to register for the study. As each
participant registered, the Student Information System sequentially placed the participant
into either the direct instmction or problem-centered reflection group.
The student's stams and the current date were used to determine the appropriate
instmctional delivery. The web-based interface for the treatment group provided the
student with a clinical vignette and related course objectives, and the opportunity to
reflect on the stmcture of knowledge associated with the vignette. Students within the
problem-centered reflection group also evaluated the reflections of other students. The
direct instmction group was presented with tutorials with computer-based feedback.
The Student Portfolio System recorded the fracking information for both groups.
All evaluation insttiiments were web-based and the answers for each student were stored
in the Sttident Portfolio System. The times spent on each reflection or direct instmction
exercise was recorded in the sttident portfolio system. The layout and relationships of the
SQL tables in the Sttident Information, Curriculum Management, and Sttident Portfolio
Systems are presented in Figure 3.2.
27
Miulciil liitiinii.iluin
S\slt"in
S l i i i l c i i l I N ' i l t ' i i l i o S \ • .Ki l l
Figure 3.2. Layout and Relationships of the SQL Tables in the Student Information, Curriculum Management, and Student Portfolio Systems.
Variables
The independent variable was the instmctional method which had two levels in
this study: problem-centered reflection and direct instmction. The dependent variables
were the leammg sfrategies and motivation scales that were used as a measure of
diagnostic reasoning, the score on the achievement examination, the tune needed to
complete each question in the achievement examination, and the score on the essay
component of the achievement exammation. The content of the mstmction in both groups
28
was held constant by using the same set of objectives while the delivery of the instmction
was varied.
Population. Sample, and Participant Characteristics
The population in this study was first-year medical students who were enrolled in
a fraditional medical education curriculum. The sample chosen for this study was a non-
random cluster sample of at a School of Medicine in a large public university in the
Southwestem United States. A cluster sample is a group of participants that is formed by
selecting naturally occurring groups. The non-random cluster sample contained 130 first-
year medical students with an average age of 23 (Table 3.1). This sample was 40%
female, 68% Caucasian, and 94% Texas residents (Table 3.2).
29
Table 3.1: Sample by Age.
Age
20
21
22
23
24
25
26
27
28
29
30
Over 30
Total
Frequency
7
6
39
16
23
15
7
4
3
3
2
5
130
Percent
5.38
4.61
30.00
12.31
17.69
11.54
5.38
3.08
2.31
2.31
1.54
3.85
100.00
30
Table 3.2: Sample Demographics.
Value Frequency Percent
Gender
Female
Male
Ethnicity
Caucasian
Minority
Residency
Texas
Other
52
78
88
42
122
40.00
60.00
67.69
32.31
93.85
6.15
An application was submitted to the Institutional Review Board for the use of
human subjects in this sttidy. The application was approved and this sttidy was conducted
under the IRB Protocol #02222. Participants were recmited by direct person-to-person
contact through three visits to the Gross Anatomy classroom prior to the start of the sttidy.
During these visits, a franscript was used to recmit the participants (Appendix F). As an
incentive to motivate participation, the web-based examination contained questions that
similar in style and difficulty to those seen on the block examination for the Gross were
Anatomy course.
The recmitinent franscript was used to begin an organizational meeting that
occurred before the beginning of the sttidy. Risks and benefits of the sttidy were
31
discussed in this organizational meeting and the participants were asked to complete the
consent form and to ask any questions they may have conceming the study. The consent
form was completed by the participant before the participant was allowed to register for
the study.
Eighty-six undergraduate medical students enrolled in the Human Gross Anatomy
course attended the organizational meeting and registered for the study. Demographic
data were collected and participants were sequentially assigned to either the direct
instmction or problem-centered reflection group during the regisfration process.
Participation in the study was voluntary and was not required as part of the anatomy
course. The study was conducted for two weeks in the middle of a five week block of
first-year medical school classes. The study ended one week prior to major block
examinations in Gross Anatomy, Biochemistry, and Histology. As the study progressed
and the block examinations approached, the number of participants in the study
decreased. Five of the participants completed ahnost all aspects of the study including the
achievement examination. However, these five participants did not complete the final
questionnaire and were elunmated from the study. Fiffy-one participants completed the
entire study and were included in the subsequent statistical analyses.
The direct instmction group contained 30 participants with an average age of 24
(Table 3.3). Participants in the direct insttaiction group were 33% female, 73%
Caucasian, and 93% Texas residents (Table 3.4).
32
Table 3.3: Direct Instmction Participants by Age.
Age Frequency Percent
21
22
23
24
25
27
28
30
Over 30
Total
1
9
6
4
5
1
2
1
1
30
3.33
30
20
13.34
16.67
3.33
6.67
3.33
3.33
100.00
33
Table 3.4: Direct Instmction Demographics.
Value Frequency Percent
Gender
Female
Male
Ethnicity
Caucasian
Minority
Residency
Texas
Other
10
20
22
8
28
2
33.33
66.67
73.33
26.67
93.33
6.67
The problem-centered reflection group contained 21 participants with an average
age of 23 (Table 3.5). Participants in the problem-centered reflection group were 38%
female, 62% Caucasian, and 95% Texas residents (Table 3.6).
34
Table 3.5: Problem-Centered Reflection Participants by Age.
Age Frequency Percent
20 i 4.76
21 1 4.76
22 7 33.34
23 4 19.05
24 5 23.81
25 2 9.52
30 1 4.76
Total 21 100.00
35
Table 3.6: Problem-Centered Reflection Demographics.
Value Frequency Percent
Gender
Female
Male
Ethnicity
Caucasian
Minority
Residency
Texas
Other
8
13
13
8
20
1
38.10
61.90
61.90
38.10
95.24
4.76
Design and Treatments
The purpose of this study was to examine the effect of the use of a web-based
metacognitive tool on medical students' diagnostic skills development. In order to
examine this effect, the direct instmction group accessed the web-based tutorial while the
problem-centered reflection group accessed the web-based metacognitive tool. The
participants in both groups were asked to complete the Motivated Sfrategies for Leaming
Questionnaire with 81 items at the begmning and end of the study. The questionnaire
rated the participants' study habits, leammg skills, and motivation in the gross anatomy
course and the web-based exercises. After completing the mitial questionnaire, the
participants accessed the appropriate web-based leaming activities for approximately one
36
hour each day, Monday through Friday, for two weeks. Participants accessed the web-
based leaming activities through the web from home or school. This time period
corresponded with the Upper Exfremity Unit in Gross Anatomy. During this study, all
participants were also enrolled in the gross anatomy course. The web-based exercises
were designed such that the content was presented in lecture one to two days prior to the
web-based exercise. Therefore, the web-based exercises enhanced the leammg of the
content through practice for the direct instmction group and reflection for the problem-
centered reflection group. At the end of the unit, the participants completed a web-based
achievement examination covering the upper exfremity objectives used in this study.
Access to each web page was fracked using a curriculum management system that
was developed using Microsoft SQL (Figure 3.2). The curriculum management system
imposed gating mles that ensured that each participant viewed each page in a session
before being allowed to progress to the next page in the session. Participants were also
required to complete one session before progressing to another. In this way, progression
through the study was regulated and no part of the study could be skipped. The
curriculum management system fracked and identified the participants that completed the
entire study.
The direct instmction group accessed web-based tutorials with programmed
practice and feedback. Both freattnent groups were presented with the objectives for the
exercise when they logged in for the session (Figure 3.3). The objectives for one exercise
and the content (Figure 3.4) and practice (Figure 3.5) for these objectives were divided
into two sessions on two consecutive days.
37
3 Shoulder & Superficidl Upper Limb - Microsoft Internet Explgr
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Y o u will not be abl t to go back to pre \ ious pages, so spend tiifficient time on each page!
M e w i n g Radiological Images
1 L,itet!ig::-iav: •:• Tl-ierule: are arth.-uc. m>: • •n.-i:teut md .-••n.etirije; cTifu.-ing, but the ::-i.r; is labelel u, the liieiti^i m
'.vbi:h the h eam p'a::e; • I'.'i. Che.-t - po:ten-f t' .uiten r • Al' 'Thest - Ariten-iT to p'/.-teri'-r
•:. H'''.vever, thu: i; n-t alvvav: the cai'e • Lateral elloo.v.- - Jl'^t labeled "rneial-Uteral" • Left lateral chest - Left :i.le . t chert c], ,;>, t • the tilin
2 Viev/irig diffeient types of :;-rav: .;. Plain 61iri - An: i: ufuallv m the anat. .rue f- .-iti. .n. i e patient <>{ nqU. facing voii. p.alrn.- i- -r.var 1 o Cro:s-;ectic.nal image? - patient ;up.ine living m (•.•eh face up.), v .u aie :tari.lirig at the patienf; feet
.Approaching Cross Sectional Images
When first p.irounteiing a cross sertional iriiaze, wliether a radaverir sperilnen oi a CT srai.. orienting
yoursplf to rlip iniagp will ronsist of thp foUowing steps:
EBB
10':
Figure 3.3. Objectives Presented at the Beginning of the Session.
38
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Part l : P a g e 6 o r i i
Objective: Describe the muscles tliat attach tlie scapula to the spine and their actions and nerse supply.
m
Move mouse over image to display labels.
Cross Section of tlie Shoulder:
Henbfy the following structure; in the cr.jss section above
Muscles that attach the Scapula to the spine.
MUSCLE
1 Trapezius
i
i T.3tiRwnufi dcrr»
FUNCTION
elevates, dep.resses & retracts scapula
addnrts eYtflnds A" mediallv
INNERVATION
sf'inal accessc.ry C 3,4 ventral rami
thorarftdorsal f or midclle
Figure 3.4. Content Delivery During Session.
a
39
' 3 Shoulder & Superficial Upper Limb • Microsoft Internet [xplorer
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Part 1: Page 6 of 1.
Objective: Describe the muscles that attach the scapula to the spine and their actions and
ner\ e supply.
M 2 3
Move mouse os'er image lo display labels.
Cross Section of the Shoulder:
I'ientify the following strucpjie; m thie cross section above
Muscles that attach the Scapida to the spine.
M U S C L E
1 Trapeaus
' Tjiti<;ciTniw /ior-n
F U N C T I O N
elevates. .Jep.resses & retracts
scapula
^A<hirt<^ eTrtefiHfl A. mpHialhr
I N N E R V A T I O N
sf.inal accessory
C 3,4 ventral ranru
1 AoraroHorsal (CT micl.^Je
Figure 3.5. Content Delivery Followed by Practice. Moving the mouse over the image displays the labels.
The feedback consisted of muhiple choice rote memory and clinical vignette
questions that corresponded to the objectives of that session. As the participant chose a
muhiple-choice response, a pop-up window indicated whether the selection was correct
40
or incorrect (Figure 3.6). The curriculum management system ensured that the participant
viewed the page; however, the selection of the practice muhiple choice answers was not
tracked. The only requirement or gating rules unposed by the curriculum management
system for the direct instruction group was to view each page in the session or exercise.
The problem-centered reflection group accessed the same tutorial content (Figure
3.4) and practice (Figure 3.5). However, the content, practice, and problem-centered
reflection for all the objectives for the exercise were delivered in one session.
41
3 Shoulder & Superficial Upper I
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Shoulder & Superficial Upper Limb
Part 1: Page 12 of U
Practice Questions
Identify the lat.ele.J structure
^m Trapeaus
^m Fiiornboi'i major
^ R FJiomboid minor
^g} LevatC'r scapulae
Neid Page
Figure 3.6. Formative Feedback when Selecting an Answer. In this case the trapezius muscle is indicated by the red line and selectmg trapezius from the items list causes a window to appear indicating a correct answer.
The problem centered reflection portion of the session consisted of a clinical
scenario and questions related to the objectives of the session that guided the participant
through the diagnostic reasoning process (Figure 3.7).
42
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Shoulder & Superficial Upper Limb
Clinical Correlation
Page 10 of 12
A 21-year-old collegiate swimmer, went to visit her .ioctor because of shoulder pam and a re.iuced range of motion in the shoulder joint ' Jn eKaminatic.n. tfie athlete was able tc. achieve about U'5'*' of shoiilder fleiaori/elevation. v/ith pain near the end of that range I'linng ab.iucti.:.n, pain was demonstrated between about 70° and 120°. after which the patient did not feel p-am Shoulder abduction against resistance yielded pain only d'inng the first 35° of movemerit All o&er resisted movements were pain-free Palpation c-f the shoulder only pro.iuced pain on the superior surface of ttie greater tubercle of the hianerus P're^siore at this locati-^n also produced pairi that ra-iiated do.'ATi the lateral side of tire student's arm
\Miat muscles participate in the movements of the shoulder described above? What nerves innervate these muscles?
I NertPage
Figure 3.7. Problem-Centered Reflection at the End of a Session. The students are prompted to reflect on the objectives of the session. The prompts are basically the objectives restated as questions.
Three questions were presented along with the clinical scenario on three separate
web pages. These questions guided the participant to identify relevant data, organize and
43
nest data, and integrate prior knowledge with these data to diagnose the patient in the
clinical scenario.
The curriculum management system ensured that the participant viewed teach
page in the content and practice portion of the session. The curriculum management
system imposed a requirement or gating rule during this session for the problem-centered
reflection group to prevent a participant from moving from one reflection question to
another without typmg in a reflection. Participants had to enter at least 250 characters
into the text area before they could progress to the next reflection question.
During the second session, the problem-centered reflection group evaluated the
reflection of another member of the problem-centered reflection group (Figure 3.8). The
curriculum management system imposed a gating rule during the second session that
required the peer reviewer to enter at least 250 characters into the text area before they
could proceed.
Since a participant could not progress from the peer review to the next session
until another participant had peer reviewed their reflection, the curriculum management
system had to be monitored. The assignment of a reflection to a peer reviewer would be
modified by the researcher so that participants were not hindered from progressing
because of the self-removal from the study of one of the participants.
44
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Par t 2 : P a g e 1 of 1
Peer Re\iev»t
A 21-year-old collegiate swimmer, went to visit her doctor because of shoulder pain and a re.iuced range of motion m the shoulder joint On eKanriinabon, the atl-Jete was able to achieve about 165° t.f shoul'ier fleaon/elevation, with pain near the end of that range T'lmng ab.iuction. pam was demonstrated between about 70° and 120°. after whch the patient .id not feel pain Shoul.ier abduction against resistance yielded pain only during the first 35° of movement All otiier resisted movements were pam-free Palpation of the shoulder only produced pam on the supenor surface of the greater tubercle of the humerus Presswe at this location also produced pam that radiated down the lateral side of the student's arm
What muscles participate in the movements of the shoulder described above?
UTiat nerves iniierv ale these muscles' '
r>eltiod-Axialary n (C5.C6) Ant Portion of C5. Me.iaL'Lat Portion of C5.C6 Latissmus Dorsi-Th:.radorsal n (C5, C6) Levator Scapulae-dorsal subscapular n (C5). Ventral Rami (C3.C4) Trapeaus-Accessory n (CN XI), Ventral Rami of (C3.C4) Teres Minor-Axialaiy a (C5,C6) Teres Major-''?7
When the arm was abducted without resistance, pain was felt between "0 and UO" of abduction; however , abduction aeainst resistance produced pain only duruia-
Write a brief revie^v of the answers given to the quesrions above. Vou ran use your notes or textbooks to verify the ans^^•ers. Hease site your resource so that the person wlio wrote the ononal answer wiU kno^v where to Tmd the information. Use constructive and positive comments!
r
ngure3 8 Peer Review of Another Participant's Reflection. The other participant's reflection is presented in the scrolling text area. A text area at the bottom of the page is where the student would evaluate the other participant's reflection.
At the beginning of the next session, the participant reviewed the peer evaluation
of their reflection (Figure 3.9). The curriculum management system only required the
45
participant to view this page before continuing. This process was repeated three times for
each section of the upper extremity (shoulder, arm, and forearm and wrist).
3 Axilla a Arm Microsoft hiterncl Explorer
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^ 1 h^^p I'/L-..-Jh.^c^l'^v.•..-J•l).^s. f M ^ i n f i » . « 4 i > r f F .(iflf-HTn .^cp tO':
Avilla & Arm
Peer Review of Your Answers to Exerdse 2:
A 1'1-year-old collegiate swimmer, went t.j visit her doctor because of shoulder pain and a re.Juced range of moti. n in the shoulder joint Cin examination, tfie athlete was able to achieve about 165°of shoulder fleaon/elevahon, v/ith pain near the en.l of that range During ab.lucti.on, pam was .Jem.^nstrate.i between about 70° and 120". after which the patient did not feel pain Shoul.Jer ab.Juctj.>n against resistance yielded pain only during Ae first 35° of movement All other resisted movements were pain-free Palpati.jn of the shoulder .jnly pro.duced pain on the supenor surface o.f the greater tubercle of the humerus Pressiire at this location also pro.Juced pain tfiat radiated .icwn the lateral si.de of the stU'dent's arm
Wliat muscles participate in the movements of the shoulder descnbed above' '9/hat nerves mnen'ate ' these muscles' Deltiod m -innervated by aaallary n (Ant C5, and Med/Lat C5.C6) Supraspinatus m -innervated by suprascapular n (C5.Cf.) L I M i i i l i i ^ l g B T O ' ^ e n the ama was ab'ducte.J with.jut resistance, pain was felt between 70° and VJi" of at..-tucti.;.n. however, abduction against resistance pro.duced pam .-..nly during the first 35° How wc.uld you e;:plam this' I wojd explam tfus by subacromial bursitis The mflanamation and calcification of the subacromial bursa causes artculah.jn -.vitfi the coracoacromial ligament, thereby causing pressure upon the lateral portion of the supraspinatus muscle Subacromial t-ursitis is charactenzed by pam m al:..iuction fi^om 50 to 130 degrees »*Moore's 698 Ezf.lam tfie ra.diation of pain down the patient's arm' Ttie lateral porti.:.n of the supraspinatus muscle is pnmanly irmenfated by the sixtti cenacal ner.;e Tfie sixtfi cemcal nerve also innervates the lateral cutaneous p.- rtion of the arm Therefore the pam tKpenenced m the lateral supraspmatus muscle as a result of subacromial bursitis, is refered throughout the sixth cervical
Ne»i Page
Figure 3.9. Review of the Peer Evaluation of the Participant's Reflection.
This study examined the effects of problem-centered reflection on achievement,
depth of leaming, reflection time durmg examinations, and structure and complexity of
46
leamed knowledge. Achievement and depth of leaming assessed the reliance on rote
memorization or the use of integrated knowledge. The reflection time during
exammations measured, m milliseconds, the amount of time needed to reflect on and
answer each question in the achievement examination. The integration of knowledge was
assessed by using an essay question to elicit the stmcture and complexity of the
knowledge the student had leamed.
Diagnostic reasonmg was assessed through six scales of the Motivated Strategies
for Leammg Questionnaire. Two scales were measured from the motivation portion of
the questionnaire (intrmsic and extrinsic goal orientation), and four scales from the
leaming strategies portion of the questionnaire (critical thinking, metacognitive self-
regulation, elaboration, and organization). Table 3.7 illustrates the experimental design.
Table 3.7: Experimental Design
Assignment Pre Test Groups Post Tests
SA O PCR O, Oi, O2,03
SA O DI 0 ,0 , , 02,03
SA - Participants were sequentially assigned to the groups as they registered online PCR - Indicates the problem-centered reflection group DI - Indicates the direct instmction group O - Motivated Strategies for Leammg Questionnaire as a pre and post test Oi - 20 Item achievement test 02 - Average time needed to answer individual questions on the achievement test 03 - Stmcture and complexity of knowledge measured by an essay question
47
Instmments
At the begmning of the study, participants were asked to read and sign a consent
form and to complete a demographic questionnaire (Appendix A). The resuhs from the
demographic questionnaire were compared to the demographics of the participants in
order to verify that the participants were representative of the sample.
Motivated Strategies for Leaming Questionnaire
The Motivated Strategies for Leammg Questionnaire (MSLQ) is a self-report
mstmment designed to measure motivational orientations and leaming strategy use of
college students (Pintrich et al., 1991). The MSLQ consists of 15 scales that can be used
singly or together (McManus, 2000). The fifteen scales are intrinsic motivation, extrinsic
motivation, task evaluation, control of leaming beliefs, self efficacy, test anxiety,
rehearsal strategies, elaboration strategies, critical thinking, metacognitive self-regulation,
tune and study environment, effort regulation, peer leaming, and help seeking.
The Motivated Strategies for Leaming Questionnahe consists of 81 hems on a
seven-point Likert scale. There are two sections to the Motivated Strategies for Leaming
Questionnau-e, a motivation section, and a leammg strategies section. The motivation
section consists of 31 items. These items assess three areas associated with motivation:
(1) students' goals and value beliefs for a course, (2) their beliefs about their skill to
succeed in a course, and (3) their anxiety about tests m a course. The leaming strategy
section mcludes 31 items regarding students' use of different cognitive and metacognitive
strategies, and 19 items concemmg student management of different resources.
48
The Motivated Sfrategies for Leaming Questionnau-e has also received broad
acceptance and use by other researchers. Pintrich and Smith (1993) and McClendon
(1996) demonstrated that the Motivated Strategies for Leaming Questionnaire is a valid
instrument. Self-efficacy and leammg strategies have been found to be associated with
academic performance (Chye, Walker, & Smith, 1997; Barker & Olson, 1999). Barker
and Olson (1999) have recently found that the motivational factors and self-efficacy
exammed by the Motivated Strategies for Leaming Questionnafre are the test items that
best correlate with first-year medical student success (GPAs). The Cronbach alphas, a
measure of intemal consistency for the fifteen scales, were documented by Pintrich et al.
(1991) from a group of Midwestem undergraduate students and by Barker and Olson
(1999) for a group of first-year medical students (Table 3.8).
49
Table 3.8: Cronbach Alpha's for MSLQ Scales
Scale Undergraduate Students Pintrich etal.( 1991)
First-Year Medical Students Barker and Olson (1999)
Intrinsic Motivation
Extrinsic Motivation
Elaboration Strategies
Organization Strategies
Critical Thinking
Metacognitive Reflection
.74
.62
.76
.64
.80
.79
.72
.71
.75
.70
.83
.78
(Barker & Olson, 1999)
Multiple-Choice Achievement Examination
In this study, achievement was measured through the use of a muhiple choice
examination containing nme rote memory and ten clinical vignette questions. The
twentieth question was an open-ended essay question based on a clinical vignette
(Appendix D). These questions are derived from the set of objectives (Appendix C) that
were used to ensure the consistency of content in both the direct mstmction and problem-
centered reflection groups. The multiple choice questions used in the web-based
exercises for the du-ect mstmction group, the clinical vignette reflection question for the
problem-based reflection group, and the muhiple choice and essay questions on the
achievement exammation were all developed from the objectives. This ensured that all
50
questions throughout the study were relevant to the material covered in the content and
practice portions of the study.
The web-based achievement examination was administered in a computer
laboratory at the university. Access to the web-based examination was restricted to the
computer laboratory and could not be accessed outside of that room. The examination
was proctored by the researcher and the university computer laboratory staff (3 total
proctors) and a one hour time limit to complete the exammation was imposed.
Statistical Analysis
Statistical analysis of the effects of problem-centered reflection on achievement,
depth of leaming, reflection time during examinations, stmcture and complexity of
leamed knowledge, and the development of leaming strategies and motivation associated
with diagnostic reasoning skills, included:
1. Descriptive statistics such as the mean and standard error, and
2. Analysis of variance to determine differences between means.
The data was analyzed using the Statistical Package for the Social Sciences (SPSS) for
Windows version 10.0. An alpha level of 0.05 was used through the analyses as a level
of significance (alpha levels greater than 0.05 but less than 0.10 were considered
marginally significant).
51
Measuring the Effects of Problem-Centered Reflerfioti
The effects of problem-centered reflection on the development of leaming
strategies were measured by comparmg the following indicators of leaming with the
direct instmction group:
1. Achievement on a multiple choice exam that covers the objectives presented
in the exercises,
2. The depth of leaming through rote memorization and clinical vignette multiple
choice questions,
3. The tune, m milliseconds, required to answer rote memory versus clinical
vignette muhiple choice questions, and
4. The stmcture and complexity of leamed knowledge conveyed in a clmical
vignette essay question.
Achievement
Medical students have survived the highly selective admission process, and
accordmg to Norman and Schmidt (2000), these students are "a highly selected and
atypical group." Medical students have demonstrated the ability to succeed in various
achievement examinations including the MCAT. Most comparisons of medical school
curricula have been based on USMLE examinations and have found little or no
significant difference in performance (Way, Hudson, & Biagi, 2000; Colliver, 2000).
In this study, achievement was measured through the use of a muhiple choice
examination containing rote memory and clmical vignette questions (Appendix D).
52
These questions are derived from the set of objectives (Appendix C) that were used to
ensure the consistency of content m both the direct mstmction and problem-centered
reflection groups. The achievement scores for each group were analyzed to determme if
there is a difference m achievement when using problem-centered reflection as compared
to direct mstmction.
Depth of Leaming
Since medical students are a highly selected group and have demonstrated their
ability to succeed in other studies (Norman & Schmidt, 2000; Cronbach & Snow, 1977),
achievement was analyzed according to the depth of leaming that may be used m direct
instmction and problem-centered reflection. In comparing the two modes of instmction,
direct instmction is a more passive leaming environment than the problem-centered
reflection envfronment. Therefore, accordmg to Nu et al. (1998), passive leaming leads
to a "surface" approach to leammg by relymg on rote memorization, while active leaming
leads to a "deep," more integrative approach to leaming. The reliance on rote
memorization or the use of an integrative approach to leammg was measured by
comparing achievement on rote memory versus clinical vignette muhiple choice questions
in both groups.
53
The Use of Reflection tune During Examinations
The use of problem-centered reflection was measured by recording, in
milliseconds, the amount of time needed to answer each question. The students using
problem-centered reflection may take longer to answer the clinical vignette questions by
reflectmg on the prior knowledge associated with the clmical problem. The time needed
to answer each rote memory and clinical vignette question by subjects in the two groups
was tracked by the curriculum management system and measured to determine the use of
reflection time in examinations.
Stmcture and Complexity of Leamed Knowledge
Students were asked to answer an essay question at the end of the study that
incorporated the concepts of several objectives through out the entire web-based study.
An open-codmg process was performed on three randomly selected essays to look for
pattems described in Table 3.9.
Table 3.9: Three Levels of Knowledge Stmcture and Complexity
Level Example Statement
Declarative Muscle A is innervated by Nerve B.
Integrative Muscle A, like all flexors of the forearm, is innervated by Nerve B, a branch of the Brachial plexus.
Relational Vessel A and Nerve B travel within the Groove m Bone C and are in danger of mjury as a result of a fracture of Bone C possibly leading to defichs in the action of Muscle D.
54
A codmg scheme was developed to measure the stmcture and complexity of
leamed knowledge in the essays. The researcher and subject matter expert discussed the
coding scheme and agreed that each statement, phase, or element of a list would be coded
as declarative, integrative, or relational. The codmg scheme was used by the researcher
and another subject matter expert to obtam two independent analyses of the different
levels of complexity in each of the 51 essays. Examples of each rater's coding applied to
three of the essays are mcluded in Appendix E.
The quantities in each level were tallied in all essays for each rater and the inter-
rater reliability of the codmg was calculated. Each level of complexity in the dhect
mstmction group was compared to the level in the problem-centered reflection group to
determine if the stmcture and complexity of leamed knowledge increased with problem-
centered reflection. The essay question is included at the end of the achievement test in
Appendix B.
Measuring the Development of Leammg Strategies and the Changes in Motivation
The development of leammg strategies and the changes in motivation that are
associated with the diagnostic reasoning process was assessed through six scales of the
Motivated Strategies for Leaming Questionnaire (MSLQ). Two scales were measured
from the motivation portion of the questionnaire (intrinsic and extrinsic goal orientation),
and four scales from the leaming strategies portion of the questionnaire (critical thinking,
metacognitive self-regulation, elaboration, and organization). At the beginning of the
55
study and the end of the study, each group completed the MSLQ. As a measure of
mtemal consistency, the Cronbach alphas for the sbc scales were calculated and compared
to those documented by Pmtrich et al. (1991) and Barker and Olson (1999).
The mstmctions for each section of the MSLQ were modified to produce two
fonns of the questionnaire. Form A was modified to reflect the use of this instmment for
the Gross Anatomy course and was used at the begmning of the study. The instmctions
and questions for each section of Form B were modified to focus the students on the
leaming strategies and motivation used during the web-based exercises m the study.
Form A and Form B can be found in Appendix A.
The scores for each group from each of the six scales at the end of the study will
be compared using an analysis of variance to the scores at the beginnmg of the study.
These comparisons evaluated the effect of the use of this web-based metacognitive tool
on medical student development of leammg strategies and the changes in motivation that
are associated with the diagnostic reasoning process.
Summary
This chapter describes the methodology that was used in this study including the
web-based tool design, independent and dependent variables, population and sample
selection, the research design and treatments, instmments and the statistical analysis of
the data. The independent variable was the instmctional method which had two levels m
this study: problem-centered reflection and direct mstmction. The dependent variables
were the leaming strategies and motivation scales that were used as a measure of
56
diagnostic reasonmg, the score on the achievement examination, the time needed to
complete each question in the achievement examination, and the score on the essay
component of the achievement examination. This quasi-experimental study examined the
effect of the use of a web-based metacognhive tool on the development of leaming
strategies and changes in motivation associated with the diagnostic reasonmg process.
57
CHAPTER IV
RESULTS
Infroduction
The purpose of this study was to examme the effects of a web-based metacognitve
tool that promotes problem-centered reflection on the development of leammg strategies
and the changes in motivation that are associated with the diagnostic reasonmg process m
first-year medical students. This study compared the effects of problem-centered
reflection on achievement, depth of leaming, reflection time during examinations, and
stmcture and complexity of leamed knowledge. This chapter will describe the results of
the study.
Statistical Analyses
The effects of problem-centered reflection on the development of leaming
strategies were measured by comparing different indicators of leaming with the dkect
instmction group. The data analysis used the Statistical Package for the Social Sciences
(SPSS) for Windows version 10.0. An alpha level of 0.05 was used through the analyses
as a level of significance (alpha levels greater than 0.05 but less than 0.10 were
considered marginally significant).
58
Findmgs for Null Hypothesis 1
Null Hypothesis 1: Problem-centered reflection will not enhance leaming as measured by a multiple choice examination.
The percent correct on the muhiple choice portion of the examination was used as
the measure of achievement. The means and standard errors of the percent correct were
calculated for both groups (Table 4.1). The assumption of equal variances was
reasonable for these data (Folded F statistic F' = 1.53,p = 0.2903) and the pooled t test
was used to determine a difference in the means. There was no significant difference in
achievement between the direct instmction and problem-centered reflection groups {t -
0.03, df= 49,/7 = 0.9748). Therefore, the null hypothesis was not rejected.
Table 4.1: Description of Achievement by Groups
Standard Group N Mean Error t Value Pr > 111
Du-ect Instmction 30 62.28 230 003 0.9748
Problem-Centered Reflection 21 62.16 3.40
Findings for Null Hypothesis 2
Null Hypothesis 2: Problem-centered reflection will not contribute to the development of deep, integrated knowledge as measured by muhiple choice questions.
The muhiple choice examination contamed two types of questions: rote
memorization and clinical vignette questions. A two-way analysis of variance on
59
achievement by question type and treatment groups was conducted to determine a
difference in the means (Table 4.2).
Table 4.2: Two-Way Analysis of Variance between Treatment Groups and Question Type on Achievement
Source
Model
Treatment Group
Question Type
Interaction
Error
DF
3
1
1
1
21
Mean Square
449.7275
0.5931
6.5076
1342.0818
334.9730
F Value
1.34
0.00
0.02
4.01
Pr>F
0.2650
0.9665
0.8894
0.0481
There was a significant interaction between question type and treatment group (p
= 0.0481). Therefore, Bonferroni muhiple comparison tests using the least square means
for achievement by question type and treatment groups were calculated. In the direct
mstmction group, the achievement mean for the clinical vignette questions was not
significantly different from the mean for rote memory (p = 0.1333). In the problem-
centered reflection group, the achievement mean for the clinical vignette questions was
not significantly different from the mean for rote memory (/? = 0.1910). There was no
significant difference m the clmical vignette question means across treatment groups (p =
0.1347). There was also no significant difference m the rote memory question means
across treatment groups (p - 0.1910). No statistically significant differences were found
m the achievement means for the rote memorization and clmical vignette question types
60
between the direct instmction and problem-centered reflection groups. Therefore, the
null hypothesis was not rejected.
Findmgs for Null Hypothesis 3
Null Hypothesis 3: Problem-centered reflection will not result in an mcrease in the use of reflection to determine an answer during an examination.
The means and standard errors of the time needed to answer each question were
calculated for both groups (Table 4.3). The assumption of equal variances was
determined for each question and the appropriate t test was used to determine a difference
in the means. Questions 9 and 14 were found to be significant, and Question 3 was found
to be marginally significant m the time needed to answer the question between the direct
mstmction and problem-centered reflection group (Table 4.4),
61
Table 4.3: Description of Time Needed to Answer Question by Groups
Standard
Question Group N Mean Error
Question 1 (Rote Memory) Direct Instmction 30 96.306 13.855
Problem-Centered Reflection 21 93.004 13.787
Question 2 (Clinical Vignette) Direct Instmction 30 94.441 13.055
Problem-Centered Reflection 21 89.275 7.585
Question 3 (Rote Memory) Direct Instmction 30 20.434 2.119 Problem-Centered Reflection 21 33.414 6.557
Question 4 (Rote Memory) Direct Instmction 30 40.313 6.561
Problem-Centered Reflection 21 29.125 3.589
Question 5 (Clmical Vignette) Dhect Instmction 30 67.512 9.464
Problem-Centered Reflection 21 66.538 13.460
Question 6 (Rote Memory) Direct Instmction 30 34.466 5.322
Problem-Centered Reflection 21 34.141 6.043
Question 7 (Clmical Vignette) Dfrect Instmction 30 85.586 11.542
Problem-Centered Reflection 21 86.318 8.854
Question 8 (Clmical Vignette) Direct Instmction 30 55.964 8.907
Problem-Centered Reflection 21 43.876 10.277
Question 9 (Clinical Vignette) Direct Instmction 30 83.515 10.176
Problem-Centered Reflection 21 51.703 6.940
62
Table 4.3: Continued.
Standard Question Group N Mean Error
Question 10 (Clinical Vignette) Dfrect Instmction 30 40.947 4.544
Problem-Centered Reflection 21 35.853 5.829
Question 11 (Clinical Vignette) Direct Instmction 30 169.07 17.954
Problem-Centered Reflection 21 126.36 19.806
Question 12 (Rote Memory) Direct Instmction 30 76.016 12.416
Problem-Centered Reflection 21 68.465 9.448
Question 13 (Clmical Vignette) Direct Instmction 30 34.052 7.059
Problem-Centered Reflection 21 28.844 7.672
Question 14 (Clmical Vignette) Direct Instmction 30 75.615 11.979
Problem-Centered Reflection 21 43.447 4.536
Question 15 (Clmical Vignette) Direct Instmction 30 21.983 4.136
Problem-Centered Reflection 21 15.367 3.373
Question 16 (Rote Memory) Dkect Instmction 30 50.360 9.310
Problem-Centered Reflection 21 40.311 6.121
Question 17 (Rote Memory) Direct Instmction 30 35.075 6.418
Problem-Centered Reflection 21 23.947 5.126
Question 18 (Rote Memory) Direct Instmction 30 41.074 5.281
Problem-Centered Reflection 21 38.913 5.272
63
Table 4.3: Continued.
Question Group Standard
N Mean Error
Question 19 (Rote Memory) Direct Instmction 30 79.393
Problem-Centered Reflection 21 61.139
12.857
19.087
Table 4.4: t-Test between Treatment Groups on Time to Answer Question
Question Method DF t Value Pr > 11
Question 1 (Rote Memory)
Question 2 (Clinical Vignette)
Question 3 (Rote Memory)
Question 4 (Rote Memory)
Question 5 (Clmical Vignette)
Question 6 (Rote Memory)
Question 7 (Clmical Vignette)
Question 8 (Clmical Vignette)
Question 9 (Clinical Vignette)
Question 10 (Clinical Vignette)
Question 11 (Clmical Vignette)
Question 12 (Rote Memory)
Question 13 (Clinical Vignette)
Pooled t-test
Satterthwaite t-test
Satterthwaite t-test
Satterthwaite t-test
Pooled t-test
Pooled t-test
Satterthwaite t-test
Pooled t-test
Satterthwaite t-test
Pooled t-test
Pooled t-test
Satterthwaite t-test
Pooled t-test
49
44.5
24.2
43.3
49
49
48.7
49
47.4
49
49
48.7
49
0.16
0.34
-1.88
1.50
0.06
0.04
-0.05
0.88
2.58
0.70
1.57
0.48
0.49
0.8708
0.7338
0.0717
0.1419
0.9516
0.9683
0.9601
0.3814
0.0129
0.4884
0.1217
0.6306
0.6256
64
Table 4.4: Contmued.
Question
Question 16 (Rote Memory)
Question 17 (Rote Memory)
Question 18 (Rote Memory)
Question 19 (Rote Memory)
Method DF t Value Pr > 11
Satterthwaite
Pooled t-test
t-test
Satterthwaite t-test
Pooled t-test
Pooled t-test
Pooled t-test
36.8
49
46.8
49
49
49
2.51
1.16
0.90
1.26
0.28
0.82
0.0165
0.2513
0.3717
0.2120
0.7804
0.4137
Considering that the time needed to answer the majority of muhiple choice
questions was not significantly different between the two treatments, measuring the time
needed to reflect on an answer would be better measured using the essay question. The
time needed to answer the essay question was examined for both the problem-centered
reflection and direct instmction groups. The assumption of equal variances was
reasonable for these data (Folded F statistic F' = 1.95,;? = 0.1246) and the pooled t test
was used to determine a difference in the means. There was no signiflcant difference in
the tune needed to answer the essay question between the direct mstmction and problem-
centered reflection groups {t = 0.42, df= 49,/? = 0.6728). Therefore, the null hypothesis
was not rejected.
65
Fmdings for Null Hypothesis 4
Null Hypothesis 4: Problem-centered reflection will not increase the stmcture and complexity of leamed knowledge.
After examining three essays selected at random, the researcher and another
subject matter expert agreed to classify each statement in all 51 essays as declarative,
mtegrative, or relational. The inter-rater reliability of each type of statement was
calculated usmg Pearson correlation coefficients. The inter-rater reliability for declarative
statements was r = 0.95; for integrative statements r = 0.96; and for relational statements r
= 0.91. A muhivariate analysis of variance was calculated using treatment groups as
factors and the number of declarative, integrative, and relational statements as dependent
variables.
The results of the muhivariate analysis of variance indicated a significant effect of
essay statement types by group (Table 4.5).
Table 4.5: Multivariate Analysis of Essay Statement Types by Treatment Groups
Source DF MS F Value Sig!
Model 3798 2.898 0.039
Univariate Tests
Declarative 1, 100 3.322
Integrative 1, 100 16.001
Relational 1, 100 6.354
2.816
3.471
6.112
0.096
0.065
0.015
66
A marginally significant difference was found in the number of declarative (p =
0.096) and mtegrative (p = 0.065) statements m the essay between the direct mstmction
and problem-centered reflection groups. Statistically significant differences were found
m the number of relational statements in the essay between the direct instmction and
problem-centered reflection groups (p = 0.015). Therefore, the null hypothesis was
rejected. The means and standard errors of declarative, mtegrative, and relational
stmcture types were calculated for both groups (Table 4.6).
Table 4.6: Means and Standard Errors of Essay Statement Types by Treatment Groups.
Stmcture Type Group Mean Standard Error
Declarative
Integrative
Relational
Direct Instmction
Problem-Centered Reflection
Direct Instmction
Problem-Centered Reflection
Direct Instmction
Problem-Centered Reflection
2.30
2.67
1.77
2.57
0.52
1.02
0.17
0.12
0.30
0.28
0.13
0.17
67
Fmdings for Null Hypothesis 5
Null Hypothesis 5: The use of a problem-centered reflection tool will not enhance the development of leaming strategies and the changes in motivation in medical students as measured by the Motivated Sfrategies for Leaming Questionnaire (MSLQ) scales: intrmsic and extrmsic goal orientation, metacognitive self-regulation, critical-thinkmg, organization, and elaboration.
The Cronbach alphas for each of the sbc scales were calculated for both Form A
and Form B (Appendix B) of the Motivated Strategies Leammg Questionnafre as a
confirmatory factor analysis of the scale constmcts. Form A from the 51 participants that
completed the study was compared to Form B from the same 51 participants. Table 4.7
shows the Cronbach alphas from Form A and Form B for this study and those reported
for undergraduate students and medical students (Pmtrich et al., 1991; Barker & Olson,
1999). The organization strategies scale was not utilized in the rest of this study because
the low Cronbach alpha did not support the reliability of this constmct.
68
Table 4.7: Cronbach Alphas for Form A, Form B, and from the Literature.
Scale
Intrinsic Motivation
Extrinsic Motivation
Elaboration Strategies
Organization Strategies
Critical Thinking
Metacognitive Self-Regulation
Form A
0.74
0.75
0.72
0.55
0.78
0.76
FormB
0.84
0.65
0.89
0.53
0.85
0.81
Pintrich et al., 1991
0.74
0.62
0.76
0.64
0.80
0.79
Barker and Olson, 1999
0.72
0.71
0.75
0.70
0.83
0.78
The means and standard errors of each scale for the pre and post tests were
calculated for both groups (Table 4.8 and Table 4.9). The organization strategies scale
was not utilized m the rest of this study because the low Cronbach alpha did not support
the reliability of this constmct.
69
Table 4.8: Description of Pre Test Scales by Groups
Scale Group Standard
N Mean Error Intrinsic Motivation
Extrinsic Motivation
Elaboration Strategies
Critical Thinking
Direct Instmction 30 4.90
Problem-Centered Reflection 21 5.43
Direct Instmction 30
Problem-Centered Reflection 21 5.18
Direct Instmction 30
Problem-Centered Reflection 21
Direct Instmction 30
Problem-Centered Reflection 21
Metacognitive Self-Regulation Direct Instmction 30
Problem-Centered Reflection 21
0.17
0.22
4.92
5.18
5.04
5.17
3.66
4.28
4.66
5.00
0.26
0.21
0.16
0.23
0.22
0.23
0.11
0.22
70
Table 4.9: Description of Post Test Scales by Groups
Scale Group Standard
N Mean Error Intrinsic Motivation
Extrinsic Motivation
Elaboration Strategies
Critical Thinking
Direct Insttaiction 30 4.41 0.19
Problem-Centered Reflection 21 4.96 0.28
Direct Instmction
Problem-Centered Reflection
Direct Instmction
Problem-Centered Reflection
Direct Instmction
Problem-Centered Reflection
Direct Instmction
Problem-Centered Reflection
30
21
30
21
30
21
30
21
4.43
4.88
4.26
4.55
3.97
4.32
4.08
4.27
0.23
0.23
0.18
0.31
0.16
0.32
0.12
0.20
A two-way analysis of variance on mtrinsic motivation by pre/post test and
tt-eatinent groups showed significant difference between pre/post test, and between direct
msttaiction and problem-centered reflection (Table 4.10). There was no significant
interaction between the pre/post test and treattnent groups.
71
Table 4.10: Analysis of Variance between Pre/Post Test and Treattnent Group for the Infrinsic Motivation Scale
Source DF Mean Square F Value Pr>F
Model 3 4.389 3.94 0.0107
Pre/Post Test 1 6.006 5.38 0.0224
Treatment Group 1 7.154 6.41 0.0129
Interaction 1 0.008 0.01 0.9332
Error 98 1.115
A two-way analysis of variance on extrinsic motivation by pre/post test and
treatment groups showed no significant difference (Table 4.11).
Table 4.11: Analysis of Variance between Pre/Post Test and Treatment Group for the Extrinsic Motivation Scale
Source
Model
Pre/Post Test
Treatment Group
Interaction
Error
DF
3
1
1
1
98
Mean Square
2.580
4.324
3.183
0.233
F Value
1.78
2.98
2.19
0.16
Pr>F
0.1566
0.0876
0.1419
0.6899
72
A two-way analysis of variance on elaboration by pre/post test and ti-eattnent
groups showed significant difference between pre/post test, and no significant difference
between direct insttuction and problem-centered reflection (Table 4.12). There was no
significant interaction between the pre/post test and tteatment groups.
Table 4.12: Analysis of Variance between Pre/Post Test and Treattnent Group for the Elaboration Scale
Source
Model
Pre/Post Test
Treatment Group
Interaction
Error
DF
3
1
1
1
98
Mean Square
4.753
13.061
1.032
0.167
F Value
4.19
11.52
0.91
0.15
P r > F
0.0078
0.0010
0.3425
0.7023
A two-way analysis of variance on critical thinking by pre/post test and treatment
groups showed no significant difference (Table 4.13). There was no significant
interaction between the pre/post test and tteatment groups.
73
Table 4.13: Analysis of Variance between Pre/Post Test and Treatment Group for the Critical Thinking Scale
Source DF Mean Square F Value Pr > F
Model 3 2.423 LST 0.1400
Pre/Post Test 1 1.060 0.82 0.3681
Treattnent Group 1 5.772 4.45 0.0375
Interaction 1 0.436 0.34 0.5633
Error 98
A two-way analysis of variance on metacognitive self-regulation by pre/post test
and tteatment groups showed significant difference between pre/post test, and a moderate
significant difference between direct instmction and problem-centered reflection (Table
4.14). There was no significant interaction between the pre/post test and tteatment
groups.
74
Table 4.14: Analysis of Variance between Pre/Post Test and Treatment Group for the Metacognitive Self-Regulation Scale
Source
Model
Pre/Post Test
Treatment Group
Interaction
Error
DF
3
1
1
1
98
Mean Square
4.121
10.462
1.770
0.131
F Value
6.84
17.37
2.94
0.22
Pr>F
0.0003
<0.0001
0.0896
0.6420
Overall there was a slight decline in inttinsic motivation and metacognitive self-
regulation when the scales are compared by groups or by pre/post tests. There was a
statistically significant decrease in the means of the elaboration scale when the scale is
compared by pre/post tests. No statistically significant differences in the means of the
extrinsic motivation and critical thinkmg scales when they are compared by groups or by
pre/post tests. The results of these tests do not provide any evidence to reject this null
hypothesis.
Siunmary
The first null hypothesis stated that problem-centered reflection will not enhance
leaming as measured by a multiple choice examination. The results of this study
indicated no significant difference in achievement between the dhect insttaiction and
problem-centered reflection groups. Therefore the first null hypothesis was not rejected.
75
The second null hypothesis stated that problem-centered reflection will not
contt-ibute to the development of deep, integrated knowledge as measured by muhiple
choice questions. Achievement as measured by rote memorization and clinical vignette
muhiple choice questions was also found to be not significantly different between the
direct msttoiction and problem-centered reflection groups. Consequently, the second null
hypothesis was not rejected.
The thu-d null hypothesis stated that problem-centered reflection will not result in
an mcrease m the use of reflection to determine an answer during an examination. The
tune needed to answer each of the multiple choice questions was compared for the two
tteattnent groups. The majority of multiple choice questions were not significantly
different between the two tteatments. There was no significant difference in the time
needed to answer the essay question between the dkect instmction and problem-centered
reflection groups. Therefore, the null hypothesis was not rejected.
The fourth null hypothesis stated that problem-centered reflection will not
increase the stmcture and complexity of leamed knowledge. The numbers of declarative
and integrated statements in the essays from problem-based reflection group was different
from those of the direct instmction group at a moderate level of significance. The number
of relational statements used to answer a clinical vignette essay question in the problem-
centered reflection group was significantly different from the direct instmction group.
The results of this study indicated that problem-centered reflection has an effect on the
stmcture and complexity of knowledge. Therefore, the null hypothesis was rejected.
76
The fifth null hypothesis stated that the use of a problem-centered reflection tool
will not enhance the development of leaming sfrategies and the changes in motivation in
medical students as measured by the Motivated Sfrategies for Leaming Questionnaire
(MSLQ) scales: infrinsic and extrinsic goal orientation, metacognhive self-regulation,
critical-thmking, organization, and elaboration. Measurmg the leammg sfrategies and
motivations associated with diagnostic reasoning resulted in a significant difference in
infrmsic motivation and metacognhive self-regulation when comparing the pre/post tests
and the two freatment groups. However, the means of these scales showed a declme in
intrinsic motivation and metacognitve self-regulation as they were compared between the
two freatment groups and between the pre/post tests. Therefore, the null hypothesis was
not rejected.
77
CHAPTER V
DISCUSSION, CONCLUSION, AND IMPLICATIONS
FOR FURTHER RESEARCH
Infroduction
The goal of this study was to examme problem-centered reflection and its effects
on the development of leammg sfrategies and changes m motivation that are related to the
diagnostic reasonmg process. In a conventional lecture-based curriculum, medical
sttadents are unable to mtegrate knowledge leamed in the basic science courses and apply
that knowledge to clinical situations mvolving diagnosis and tteatment of patients
(Gmppen, 1997; Bamett, 1995). In response to the medical sttidents' mability to integrate
and apply basic science knowledge m clinical situations, this study exammed the use of a
web-based tool to promote problem-centered reflection m order to enable the students to
develop the leammg sfrategies needed to mtegrate and apply knowledge in a clinical
settmg. The data presented m this study also provided mformation on the development of
leaming sfrategies in a hybrid instmctional envhonment consisting of lecture-based
instmction and online problem-centered reflection.
This study compared two modes of web-based delivery of instmction and their
effect on the development of leaming sfrategies associated with the diagnostic reasoning
process. The modes of instmction were direct instmction tutorials and problem-centered
reflection.
78
The population in this study was first-year medical students who were enrolled in
a fraditional medical education curriculum. The sample chosen for this study was a non-
random cluster sample of at a School of Medicme in a large public university in the
Southwestem United States that contained 130 fkst-year medical students with an
average age of 23 and was 40% female, 68% Caucasian, and 94% Texas residents (Table
4.1 and Table 4.2).
Fifty-one participants (30 in the direct mstmction group and 21 in the problem-
centered reflection group) completed the study and were included in the statistical
analyses. The demographics of the freatment group were similar to the demographics of
the cluster sample (Table 5.1)
79
Table 5.1: Description of Participants.
Value
Gender
Female
Male
Ethnicity
Caucasian
Minority
Residency
Texas
Other
Average Age
Cluster Sample
(%)
40
60
68
32
94
6
23
Direct Instmction Group
(%)
33
67
73
27
93
7
24
Discussion
Problem-centered Reflection Group
(%)
38
62
62
38
95
5
23
Null Hypothesis 1
Null hypothesis one indicated that problem-centered reflection would not enhance
leaming as measured by achievement in a multiple choice examination. No statistically
significant differences were found in overall achievement means between the direct
instmction and problem-centered reflection groups {t =0.03, df= 49,/? = 0.9748).
Therefore, the null hypothesis was not rejected. Figure 5.1 illusfrates the achievement
means and standard errors for both freatment groups.
80
100 r
Direct Instruction Problem-Centered Reflection
Treatment Groups
Figure 5.1: Achievement Means by Treatment Group.
Problem-centered reflection did not enhance leaming as measured by a muhiple-
choice achievement exammation. Most comparisons of the effects of instmctional
delivery methods in medical education have been based on performance on the USMLE
Step 1 examinations and have found little or no significant difference (Way et al., 2000;
Colliver, 2000). This study supports the findings reported by Way et al. (2000) and
Colliver (2000) in that no significant difference was found in the performance of the
participants in the two instmctional delivery methods when measuring the effect by
muhiple choice exammations. Both the dfrect mstmction group and the problem-centered
81
reflection group performed sunilarly on the achievement exam indicating that the
problem-centered reflection method was as effective in delivering content and feedback
to learners as the dkect mstmction method.
Null Hypothesis 2
Null hypothesis two stated that problem-centered reflection would not contribute
to the development of deep, integrated knowledge as measured by muhiple choice
questions. No statistically significant differences were found in the achievement means
for the rote memorization and clinical vignette questions type between the dkect
instmction and problem-centered reflection groups (Table 4.8). Therefore, the null
hypothesis was not rejected.
Neither dkect instmction nor problem-centered reflection enhanced performance
on specific multiple-choice question types (clinical vignette and rote memory questions).
The USMLE Step 1 examination is based on clinical vignettes with muhiple choice
answers (United States Medical Licensmg Examination, 2001). Norman and Schmidt
(2000) suggest that medical students are an atypical group that has demonsttated the
ability to succeed m lecture-based classes and standardized muhiple choice tests.
Accordmg to the USMLE, an enhanced performance on clinical vignette questions
would mdicate an mtegrated knowledge base and the ability to apply this knowledge m a
clmical situation (http://www.usmle.org). Prior experiences ki ttadhional didactic lectures
may contribute to the development of the participants' perception of themselves as fact-
leamers instead of problem-solvers (Biley, 1999). As fact-leamers, the participants may
82
be relying on rote memorization to answer all types of multiple choice questions. Nu et al.
(1998) suggested that a "surface" approach to leaming is employed when sttidents rely on
rote memorization. As fact-leamers usmg rote memorization, the participants m this sttidy
may have adopted a "surface" approach to leaming that leads to a superficial
understandmg of the material. A superficial understanding of course content may
conttibute to an incomplete integration of knowledge. The sttncture of the questions on
the achievement exam may not reflect an mtegration of knowledge and fiirther sttidy is
needed.
Null Hypothesis 3
Null hypothesis 3 stated that problem-centered reflection would not resuh in an
increase in the use of reflection to determine an answer during an examination. In this
portion of the study, tkne was used as a measure of the use of reflection. Time was
chosen as a possible measure of reflection based on Information Processmg and Schema
Theory. Information Processing Theory consists of conscious and unconscious
processing of information (Bermer et al., 1996; Greenwood, 2000). Bermer et al. (1996)
go on to state that the more knowledgeable or expert a person, the more that person
processes information unconsciously. The participants in the problem-centered reflection
group are novices in the problem-centered reflection process. As novices in problem-
centered reflection, the participants in the problem-centered reflection group would
reflect on the clinical vignette and process information consciously takmg more time in
answering the clinical vignette question as compared to the dkect instmction group.
83
Except for three of the nineteen muhiple choice questions, the time needed to
answer each of the muhiple choice questions was not significantly different between the
freatment groups. The time needed to reflect on an answer was also measured usmg the
essay question. No statistically significant differences were found in the time spent on
answermg the essay question between the dkect instmction and problem-centered
reflection groups. Therefore, the null hypothesis was not rejected.
The significant differences found with questions 9 and 14 and the marginal
significance with question 3 may be the result of a number of factors that would not be
related to reflection. These questions could be more difficult that the rest of the muhiple
choice questions. The questions could also requke the participant to choose the most
correct answer from a list that contakis answers with different degrees of correctness. In
this study, using time requked to answer a question as a measure of reflection may be
confounded by other factors. The fact that this study was not a requked element of the
Gross Anatomy course could also effect the time needed to answer a question. There were
no consequences of choosing an mcorrect answer for the participants. This may have
effected the tkne needed to answer a question by shortening the thought or reflection
process as the students chose an answer m order to move to the next question.
84
Null Hypothesis 4
The fourth null hypothesis stated that problem-centered reflection would not
mcrease the stmcture and complexity of leamed knowledge. A marginally significant
difference was foimd in the number of declarative and integrative statements in the essay
between the dkect mstmction and problem-centered reflection groups. A statistically
significant difference was found in the number of relational statements in the essay
between the dkect mstmction and problem-centered reflection groups. Therefore, the
null hypothesis was rejected. Problem-centered reflection increased the stmcture and
complexity of leamed knowledge. Figure 5.2 illusfrates the number of statements for
each classification for both freatment groups.
85
I I Direct Instruction
^M Problem-Centered Reflection
B it
a «
o « a s
Declarative Integrative
Statement Types
Relational
Figure 5.2: Essay Statement Types by Treatment Groups. A marginally significant difference (p < 0.10) was found in the number of declarative and integrative statements in the essay between the dkect instmction and problem-centered reflection groups. A statistically significant difference (p < 0.05) was found in the number of relational statements ki the essay between the dkect instmction and problem-centered reflection groups.
The stmcture and complexity of leamed knowledge measured by classifying the
statements made in response to a clinical situation can be related to the type of stmcture
and complexity of knowledge that is requked for the diagnostic reasoning process.
Elstem, Shuhnan, and Sprafka (1990) developed a model of the medical diagnostic
reasoning process based on Information Processing Theory that consists of four phases:
(1) data collection, (2) hypothesis generation, (3) cue interpretation, and (4) hypothesis
86
evaluation. As stated in Chapter 1, the diagnostic reasoning process consists of
identifymg relevant data (data collection), organizing and nesting data (hypothesis
generation and cue interpretation), and mtegratmg prior knowledge with the data to
diagnose the patient (cue mterpretation and hypothesis evaluation). In this study,
participants m the problem-centered reflection group were prompted to reflect on the
objectives presented in the session and relate the objectives to a clmical situation. By
promptmg the participants to relate the objectives presented m the session to a clinical
situation, the participants were usmg a reflective leammg sfrategy to simulate the
diagnostic reasonmg process. Bunkers (2000) stated that reflection after an event allows
the leamer to analyze and evaluate information gained from the event. In this study, the
event was the presentation of content during the session.
The progression of questions at the end of the session guided the participant
through a reflective process that mirrored the diagnostic reasonmg process. As the
questions were presented, the participants were guided ki identifying the relevant data in
the clmical situation and mtegratmg this data with the objectives presented in the session.
At the same time, the participants were asked to relate this leamed knowledge to the
clinical findings. As described by Boud et al. (1985), a reflective leaming sfrategy resuhs
m an organization of knowledge that could lead to new understandmgs. As a resuh of
problem-centered reflection, the mcreased numbers of mtegrative and relational
statements indicates an mcrease in the stmcture and complexity of leamed knowledge that
is related to the diagnostic reasoning process.
87
Null Hypothesis 5
Null hypothesis 5 states that the use of a problem-centered reflection tool will not
enhance the development of leaming sfrategies and the changes in motivation in medical
students as measured by the Motivated Sfrategies for Leaming Questionnake (MSLQ)
scales: mfrinsic and exfrmsic goal orientation, metacognitive self-regulation, critical-
thinking, organization, and elaboration. The Cronbach alphas for each of the six scales
were calculated for both Form A and Form B (Appendbc B) of the Motivated Sfrategies
Leammg Questiormake as a confirmatory factor analysis of the scale constmcts. The
organization sfrategies scale was not utilized m the rest of this study because the low
Cronbach alpha did not support the reliability of this constmct.
The participants in this study showed a declme m mfrmsic motivation,
elaboration, and metacognitive self-regulation sfrategies from the begmnmg to the end of
the study. The findmgs by Barker and Olson (1999) mdicated that as medical sttidents
progress through thek first year, the competitive nattu-e of medical school resuhs in a
declme m infrmsic motivation which indicates a move away from participating with goals
for leammg to participatkig with goals that are more test and grade oriented. A decrease
m elaboration and metacognhive self-regulation sfrategies indicate a move toward
rehearsal sfrategies such as memorization and rereadmg of texts and notes without
checkmg for understandmg of the material (Pmfrich et al., 1991). As the sttidy was
completed, the participants were withm one week of major examinations in Gross
Anatomy, Biochemistty, and Histology. The pressure of the upcoming exams may have
88
confributed to the decrease in mfrinsic motivation, elaboration, and metacognitive self-
regulation.
The fifth null hypothesis stated that the use of a problem-centered reflection tool
would not enhance the development of leammg sfrategies and the changes in motivation
m medical students as measured by the Motivated Sfrategies for Leaming Questionnake.
The results of these tests do not provide any evidence to reject this null hypothesis.
Conclusions
Studies documenting medical students' inability to integrate knowledge leamed in
the basic science courses and apply that knowledge to clmical situations demonsfrate the
need for innovative approaches in instmctional delivery (Gmppen, 1997; Bamett, 1995).
In response to this need, this study mfroduces a new method of instmctional delivery that
mcorporates the theory behmd the diagnostic reasoning process with the principles of
problem-based leaming and reflection.
Ahnost all medical students pass the requked courses and make acceptable scores
on USMLE exams regardless of the curriculum design m medical school. Cronbach and
Snow (1977) suggested that this may be due to the fact that high-aptittide sttidents, like
medical students, succeed regardless of the instioictional sttategy used. In so far as this
study only applies to one section of Human Gross Anatomy, the resuhs presented here
also demonsfrate the difficulty in usmg achievement as a measure of the effectiveness of
an kistmctional sfrategy m medical education.
89
Measuring achievement by muhiple choice question type (rote memorization or
clinical vignette) also showed no significant difference between the two instmctional
methods (dkect mstmction and problem-centered-reflection). No matter the constmction
of a multiple choice question, the researcher contends that creating a multiple choice
question that tmly measures the stmcture and complexity of knowledge leamed is very
difficuh.
Usmg the tune needed to answer kidividual questions as a measurement of the
reflection process showed no significant difference between the dkect mstmction and
problem-centered reflection groups. The essay question was valuable in determining the
stmcture and complexity of knowledge and will be discussed below. However, the time
needed to answer the essay question was not significantly different for the dkection
instmction and problem-centered reflection groups. Even though three questions showed
a significant difference between the groups, time was not a measure of the reflection
process. Time may be a measure of the difficulty of the question, the ambiguity of the
question, or various other factors related to question development that have not been
mvestigated ki this study.
A margmally significant difference was found in the number of declarative
statements m the essay answers between the direct mstmction and problem-centered
reflection groups. Statistically significant differences were found in the number of
mtegrative and relational statements in the essay answers between the dkect insttaiction
and problem-centered reflection groups. The results of this sttidy demonsttated that
problem-centered reflection increases the sttaicttu-e and complexity of leamed knowledge
90
that is related to the diagnostic reasoning process. This finding is important in that other
studies have found that medical students in a conventional lecture-based curriculum are
unable to mtegrate knowledge leamed in the basic science courses and apply that
knowledge to clinical situations (Gmppen, 1997; Bamett, 1995). The results of this study
shows that participants m the problem-centered reflection group put together more
declarative, integrative, and relational statements as an answer to a clinical vignette essay
question than participants m the dkect instmction group. The combination of these
statements demonsfrates a more stmctured and complex arrangement of integrative
knowledge.
Overall there was a slight declme in mtrinsic motivation and metacognhive self-
regulation when the scales are compared by groups or by pre and post tests. There was a
statistically significant decrease m the means of the elaboration scale when the scales are
compared by pre and post tests. No statistically significant differences m the means of
the exfrmsic motivation and crkical thinkmg scales when they are compared by groups or
by pre and post tests. The evaluation of the leaming sfrategies scales and motivation
scales did not provide any evidence that would reject the null hypothesis that the use of a
problem-centered reflection tool would not enhance the development of leammg
sfrategies and the changes in motivation m medical sttidents as measured by the six
Motivated Sfrategies for Leammg Questionnake.
91
Lunitations of the Study
There are several lunitations to consider m terms of the generalizability of the
resuhs.
1. The study was based on self-selected, voluntary participation of medical
students and the generalization of results to other populations of students may be lunited.
It is unportant to note that the sample is a convenience sample taken from one university
settmg. The participants were randomly assigned to the comparison groups, but they
were not randomly sampled from the total population.
2. The study collected data from questionnaires and an achievement exammation
with a small sample of students. The study, while tied to the upper exttemity section of
the Human Anatomy course, was not a requked element of the course. Therefore, as
curricular demands increased, participants removed themselves from the study decreasmg
the sample size. Further studies will provide a larger sample size and makmg the study a
requked element should yield better data.
3. The participants accessed the web-based leaming activities for approximately
one hour each day, Monday through Friday, for two weeks. During this study, all
participants were also enrolled in a gross anatomy course and the time period
corresponded with the Upper Exttemity Unh m Gross Anatomy. The web-based
exercises were designed such that the content was presented in lecture one to two days
prior to the web-based exercise. This may have been too short a time period for the
participants in the problem-centered reflection group to engage fully m the reflection
process.
92
4. This sttidy also examined a very specific computer tool for medical education,
which was designed to promote problem-centered reflection on prior basic science
knowledge and the sttoicttire of leamed basic science knowledge. Other computer tools
have different purposes, and may not have similar effects on reflection and knowledge
sttoicttire. One cannot generalize that usmg this tool m another course outside of a basic
science course in medical education would have the same effects.
Implications for Further Research
The lunitations and results of this study provided suggestions for improvement
and further research.
1. The study could be repeated with similar procedures but with the followmg
modifications: elimmate the frackmg of time as a measurement of reflection, make the
study a requked element of the course, extend the study to mclude other sections of the
anatomy course, and include within the study the development and analysis of a multiple
choice examination tool that measures stmcture and complexity of knowledge.
2. By expanding the scope of the study to include other sections of the course, the
essay component could be expanded to measure four levels of stmcture and complexity.
The resuhs of this study suggest that other sections of the anatomy course may allow the
incorporation and measurement of interdisciplmary statements. For example, in the
section dealing with the abdommal cavity, an essay question could elicit information
concemmg the kidney. An mterdisciplinary statement would incorporate knowledge of
the kidney from biochemistry, histology, and physiology.
93
3. Another study could be conducted utilizing the web-based metacognhive
reflection tool in order to examme the portfolio process as an altemative evaluation
measure. The reflections and peer evaluations of the reflections are basically a begmning
of an onlme portfolio for first year medical students. The effects of collaboration and
peer evaluation on the stmcture and complexity of knowledge could be mvestigated.
Summary
The goal of this study was to examine problem-centered reflection and hs effects
on the development of leaming sttategies and changes in motivation that are related to the
diagnostic reasoning process. This study compared two modes of web-based delivery of
instmction and thek effect on the development of leaming sfrategies associated with the
diagnostic reasoning process. The modes of instmction were dkect instmction tutorials
and problem-centered reflection. The data presented m this study also provided
information on the development of leaming sfrategies m a hybrid mstmctional
envkonment consistmg of lecture-based mstmction and online problem-centered
reflection.
The sample chosen for this study was a non-random cluster sample at a School of
Medicme m a large public university in the Southwestem United States that contamed
130 first-year medical students with an average age of 23 and was 40% female, 68%
Caucasian, and 94% Texas residents (Table 4.1 and Table 4.2). Fifty-one participants (30
m the dkect insttaiction group and 21 m the problem-centered reflection group) completed
the study and were included m the statistical analyses.
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A marginally significant difference was found in the number of declarative and
mtegrative statements in the essay answers between the dkect mstmction and problem-
centered reflection groups. Statistically significant differences were found in the number
of relational statements m the essay answers between the direct instmction and problem-
centered reflection groups. The results of this study demonstrated that problem-centered
reflection mcreases the stmcture and complexity of leamed knowledge that is related to
the diagnostic reasoning process. The results of this study shows that participants in the
problem-centered reflection group put together more declarative, integrative, and
relational statements as an answer to a clinical vignette essay question than participants in
the dkect instmction group. The combmation of these statements demonsttates a more
stmctured and complex arrangement of integrative knowledge.
By expanding the scope of the study to include other sections of the course, the
essay component could be expanded to measure four levels of stmcture and complexity.
The results of this study suggest that other sections of the anatomy course may allow the
measurement of interdisciplmary statements that would mcorporate knowledge from other
basic science disciplmes such as biochemistry, histology, and physiology.
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APPENDIX A
CONSENT FORM AND DEMOGRAPHIC DATA
The Development of a Web-based Metacognitive Tool: The Effect of Problem-centered Reflection on Medical Student Development of Diagnostic Reasoning Skills
Consent Form
You are invhed to be m a research study about how a student leams new knowledge. Benny C. Shaw, Jr. at Texas Tech University Health Sciences Center is conductmg this study. Please read this document and ask any questions you may have before agreeing to be in the study.
Background Information:
The purpose of this study is to examine how a student leams new knowledge and applies this knowledge to a clinical situation.
Procedure:
If you agree to be in this study: • You will be asked to read and sign this consent form. • You will be asked to register online choosing a usemame and password that will
maintain your anonymity during this study (Do not use your name, a portion of your name, your Social Security Number, etc.).
• You will be asked to complete an onlme questionnake with 81 items at the begmnmg and end of the study. You will be asked to rate your study habits, your leammg skills, and your motivation during the course of this study. The questionnake will take approxunately 30 minutes to complete.
• You will be asked to access and complete web-based exercises that will take approximately one-hour each day (Monday - Friday) durmg the upper extremity portion of Gross Anatomy.
• You will be asked to complete a web-based examination on the concepts presented m the web-based exercises. This examination is for research purposes only and will not affect your grade m the Gross Anatomy class.
YOUR PARTICIPATION IS VOLUNTARY AND NOT RELATED IN ANY WAY TO YOUR GRADE IN THE CLASS.
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Risks and Benefits of Being in the Study:
This project is not expected to involve risks of harm any greater than those ordmarily encountered in daily life. All reasonable safeguards have been taken to minimize the potential risks. The resuhs of this project will be coded in such a way that your identity will not be physically attached to the final data. There are no dkect benefits to the participant.
Confidentiality:
The records of this study will be kept private. In any sort of report that may be published, the report will not include any information that will make h possible to identify a subject.
Voluntary Nature of the Study:
Your decision whether or not to participate will not affect your current or future relations with Texas Tech University Health Sciences Center or Texas Tech University. If you decide to participate, you are free to withdraw at any time without affectmg those relationships.
Contacts and Questions
The researcher conductmg this study is:
Benny C. Shaw, Jr. Texas Tech University Health Sciences Center 3601 4thStteet Lubbock, Texas 79430 (806)743-2870 (806)743-1029 fax chip. shaw(^ttuhsc .edu
You may ask any questions you have now. You will be given a copy of this form to keep for your records.
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Statement of Consent:
1 have read the above mformation. I have asked questions and have received answers. I consent to participate in the study.
Signature_ Date
Signature of Investigator or Person Obtamkig Consent_ Date
2.
3.
4.
Gender
Demographic Information
Male
Ethnic Background
American Indian/Alaska Native
Asian/Pacific Islander
Black/African-American
Hispanic or Latmo descent
White/Caucasian
Other
Your age at the time of this study:
Were you a resident of Texas when you entered medical school?
Female
Yes No
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APPENDIX B
MSLQ QUESTIONNAIRES
Form A
Part A. Motivation
The followmg questions ask about your motivation for and attitudes about the anatomy class. Remember there are no right or wrong answers. Answer the questions about how you study in the anatomy class as accurately as possible. Use the scale below to answer the questions. If you think the statement is very tme of you, choose 7; if a statement is not at all tme of you, choose 1. If the statement is more or less tme of you, find the number between 1 and 7 that best describes you.
1 = not at all tme of me 2 3 4 5 6 7 = very tme of me
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In gross anatomy, I prefer course material that really challenges me so I can leam new things. If I study in appropriate ways, then I will be able to leam the material in the gross anatomy course. When I t£ike a test I thmk about how poorly I am domg compared with other students. I thuik I will be able to use what I leam in gross anatomy in other courses. I believe I will receive an excellent grade in gross anatomy. I'm certam I can understand the most difficult material presented in the readmgs for gross anatomy. Gettmg a good grade m gross anatomy is the most satisfying thmg for me right now. When I take a test I thmk about items on other parts of the test I can't answer. It is my own fauh if I don't leam the material m gross anatomy. It is unportant for me to leam the course material in gross anatomy.
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The most important thing for me right now is hnproving my overall grade pomt average, so my main concem in gross anatomy is getting a good grade. I'm confident I can leam the basic concepts taught in gross anatomy. If I can, I want to get better grades m gross anatomy than most of the other students. When I take tests I thmk of the consequences of failing. I'm confident I can understand the most complex material presented by the mstmctors m gross anatomy. In gross anatomy, I prefer course material that arouses my curiosity, even if h is more difficult to leam. I am very mterested in the content area of gross anatomy. If I try hard enough, then I will understand the course material. I have an uneasy, upset feeling when I take an exam. I'm confident I can do an excellent job on the assignments and tests in gross anatomy. I expect to do well in gross anatomy. The most satisfymg thing for me m gross anatomy is trying to understand the content as thoroughly as possible. I think the course material m gross anatomy is useful for me to leam. When I have the opportunity m gross anatomy, I choose course assignments that I can leam from even if they don't guarantee a good grade. If I don't understand the course material, h is because I didn't try hard enough. I like the subject matter in gross anatomy. Understanding the subject matter of gross anatomy is very unportant to me. I feel my heart beating fast when I take an exam.
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1 = not at all tme of me 2 3 4 5 6 7 = very tme of me
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I'm certam I can master the skills being taught in gross anatomy. I want to do well in gross anatomy because it is important to show my ability to my family, friends, employer, or others. Considering the difficulty of gross anatomy, the teachers, and my skills, I thmk I will do well ki gross anatomy.
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PartB. Leammg Sttategies
The following questions ask about your leaming sttategies and study skills for gross anatomy. Agam, there are no right or wrong answers. Answer the questions about how you study m gross anatomy as accurately as possible. Use the same scale to answer the remamkig questions. If you thmk the statement is very ttaie of you, select 7; if a statement is not at all ttaie of you, select 1. If the statement is more or less tme of you, find the number between 1 and 7 that best describes you.
1= not at all ttaie of me 2 3 4 5 6 7 = very tme of me
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1= not at all ttaie of me 2 3 4 5 6 7 = very ttaie of me
When I study the readmgs for gross anatomy, I outlkie the material to help me organize my thoughts. During class tkne I often miss unportant pouits because I'm thmkmg of other thmgs. When studymg for gross anatomy, I make up questtons to help focus my readmg. I usually sttady m a place where I can concenfrate on my course work. When readmg for gross anatomy, I make up questions to help focus my readmg I often feel so lazy or bored when I sttidy for gross anatomy that I quh before I finish what I planned to do. 1 often find myself questionmg things I hear or read m gross anatomy to decide if I find them convmcmg When I study for gross anatomy, I practice saymg the material to myself over and over.
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1-not at all tme of me 2 3 4 5 6 7 = very ttoie of me
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Even if I have frouble leammg the material m gross anatomy, I try to do the work on my own, without help from anyone.
When 1 become confused about somethmg I'm reading for gross anatomy, I go back and tty to figure it out. When I study for gross anatomy, I go through the readmgs and my class notes and try to find the most knportant ideas. I make good use of my study tune for gross anatomy. If course readmgs are difficuh to understand, I change the way I read the material. I try to work with other students from gross anatomy to complete the course assignments. When studying for gross anatomy, I read my class notes and the course readings over and over again. When a theory, mterpretation, or conclusion is presented m class or in the readings, 1 try to decide if there is good supporting evidence. I work hard to do well in gross anatomy even if I don't like what we are doing. I make simple charts, diagrams, or tables to help me organize course material. When studymg for gross anatomy, I often set aside time to discuss material with a group of students from the class. I freat the course material as a startmg pomt and try to develop my own ideas about it. I find h hard to stick to a study schedule. When I study for gross anatomy, I pull together mformation from different sources, such as lectures, readmgs, and discussions. Before I study new course material thoroughly, I often skim h to see how h is organized. I ask myself questions to make sure I understand the material I have been studymg m gross anatomy. I try to change the way I study in order to fit the course requkements and the instmctor's teaching style. I often find that I have been reading for gross anatomy but don't know what h was all about.
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1 ask the msttaictor to clarify concepts I don't understand very well. I memorize key words to remmd me of unportant concepts in gross anatomy. When course work is difficult, 1 either give up or only study the easy parts. I try to thmk through a topic and decide what I am supposed to leam from it rather than just readmg h over when studymg for gross anatomy. I try to relate ideas ki gross anatomy to those m other courses whenever possible. When I study for gross anatomy, I go over my class notes and make an outline of important concepts. When reading for gross anatomy, I try to relate the material to what I akeady know. I have a regular place set aside for studying. 1 try to play around with ideas of my own related to what I am leaming ki gross anatomy. When I study for gross anatomy, I write brief summaries of the main ideas from the readmgs and my class notes. When I can't understand the material in gross anatomy, I ask another student m gross anatomy for help. I try to understand the material m gross anatomy by m£ikmg cormections between the readings and the concepts from the lectures. I make sure that I keep up with the readings and assignments for gross anatomy. Whenever 1 read or hear an assertion or conclusion in gross anatomy, I thmk about possible ahematives. I make lists of knportant items for gross anatomy and memorize the lists. 1 attend gross anatomy class regularly. Even when course materials are dull and uninteresting, I manage to keep working until I finish. I try to identify students in gross anatomy whom I can ask for help if necessary. When studying for gross anatomy I try to determine which concepts I don't understand very well.
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I often find that I don't spend very much time on gross anatomy because of other activities. When I study for gross anatomy, I set goals for myself m order to direct my activhies m each study period. If I get confiised taking notes in class, I make sure I sort it out afterwards. I rarely fmd time to review my notes or readings before an exam. I try to apply ideas from the gross anatomy readings in other class activities such as lecture and discussion.
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FormB
Part A. Motivation
The followmg questions ask about your motivation for and attittides about gross anatomy specifically related to the web-based exercises of the past few weeks. Remember there are no right or wrong answers. Answer the questions about how you sttidy using the web-based exercises m gross anatomy as accurately as possible. Use the scale below to answer the questions. If you think the statement is very ttoie of you, choose 7; if a statement is not at all ttaie of you, choose 1. If the statement is more or less tme of you, find the number between 1 and 7 that best describes you.
1 = not at all ttoie of me 2 3 4 5 6 7 = very ttoie of me
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I preferred the web-based exercises that really challenged me so I could leam new thmgs m gross anatomy. The web-based material helped me leam the concepts ki gross anatomy. When 1 took the web-based test I thought about how poorly I was domg compared with other students. I thmk I will be able to use what I leamed m the web-based exercises in other courses. I believe I will receive an excellent grade in gross anatomy. I'm certain I understood the most difficuh material presented in the web-based exercises for gross anatomy. Gettmg a good grade ki gross anatomy is the most satisfying thing for me right now. When I took the web-based test I thought about items on other parts of the web-based test I could not answer. It was my own fauh if I didn't leam the web-based material in gross anatomy. It was important for me to leam the web-based material m gross anatomy. The most important thmg for me right now is knprovmg my overall grade pomt average, so my main concem in gross anatomy is gettmg a good grade.
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I'm confident I leamed the basic concepts taught in the web-based exercises. If I can, I want to get better grades m gross anatomy than most of the other students. When I took the web-based test I thought about the consequences of failmg. I'm confident I understood the most complex material presented m the web-based exercises in gross anatomy. I preferred the web-based exercises that aroused my curiosity, even if h was more difficuh to leam. I was very mterested m the content areas presented m the web-based exercises. If I fried hard enough, I understood the web-based material. I had an uneasy, upset feelmg when I took the web-based exam. I'm confident I did an excellent job on the web-based assignments and tests in gross anatomy. I expect to do well in gross anatomy. The most satisfymg thmg for me m gross anatomy was trying to imderstand the web-based content as thoroughly as possible. I thought the web-based exercises in gross anatomy were useful for me to leam. When I had the opportunity m gross anatomy, I chose the web-based assignments to leam from even if they didn't guarantee a good grade. If I didn't understand the web-based exercises, h was because I didn't try hard enough. I liked the subject matter in the web-based exercises. Understanding the subject matter in the web-based exercises was very important to me. I feh my heart beatkig fast when I took the web-based exam. I'm certam I mastered the skills bemg taught m the web-based exercises. I want to do well in gross anatomy because h is important to show my ability to my family, friends, employer, or others.
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Considermg the difficulty of the web-based exercises, the teachers, and my skills, I thmk I will do well in gross anatomy.
Part B. Leaming Sfrategies
The following questions ask about your leammg sfrategies and study skills for gross anatomy specifically related to the web-based exercises of the past few weeks. Agam, there are no right or wrong answers. Answer the questions about how you study using the web-based exercises m gross anatomy as accurately as possible. Use the same scale to answer the remamkig questions. If you ttiink the statement is very ttoie of you, select 7; if a statement is not at all ttoie of you, select 1. If the statement is more or less ttoie of you, find the number between 1 and 7 that best describes you.
1 = not at all tme of me 6 7 = yery tme of me
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When I studied the web-based material for gross anatomy, 1 outlmed the material to help me organize my thoughts. During the web-based exercises, I often missed knportant points because 1 was thinking of other things. When I studied the web-based exercises, I made up questions to help focus my reading. I usually studied in a place where I could concenttate on the web-based exercises. When I read the web-based material, I made up questions to help focus my reading. I often felt so lazy or bored when I studied the web-based material that I quit before I finished what I plarmed to do. I often found myself questioning things 1 read m the web-based material m order to decide if I found them convincing. When I studied the web-based exercises, I practiced saymg the material to myself over and over.
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Even if 1 had frouble leammg the web-based material m gross anatomy, 1 fried to do the work on my own, without help from anyone. When I became confused about somethmg I was readmg in the web-based exercises, 1 went back and tried to figure it out. When I studied the web-based material, 1 went through the readings and my class notes and ttied to find the most knportant ideas. I made good use of my study time for the web-based exercises. If the web-based readmgs were difficuh to understand, I changed the way I read the material. I tried to use the onlme feedback to complete my understandmg of the web-based assignments. When I studied the web-based material, I read my class notes and the course readmgs over and over agam. When a theory, interpretation, or conclusion was presented in the web-based exercises, I tried to decide if there was good supporting evidence. I worked hard to do well on the web-based exercises even if 1 didn't like what I was doing. I made simple charts, diagrams, or tables to help me organize the web-based material. When I studied the web-based material, I set aside time to use the feedback on my performance to guide my review of the material. 1 freated the web-based material as a starting point and fried to develop my own ideas about it. I found h hard to stick to a study schedule. When 1 studied the web-based material, I pulled together information from different sources, such as lectures, readings, and discussions. Before I studied new web-based material thoroughly, 1 often skimmed it to see how h was organized. I asked myself questions to make sure I understood the web-based material I had been studymg m gross anatomy.
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1 fried to change the way I studied m order to fit the course requkements and the insttoictor's teachmg style. I often found that I had been reading the web-based material but didn't know what h was all about. I asked the mstmctor to clarify concepts presented m the web-based material that I didn't understand very well.
I memorized key words to remind me of unportant concepts m the web-based exercises. When the web-based exercises were difficult, 1 either gave up or only studied the easy parts. 1 tried to thmk through a topic and decide what I was supposed to leam from it rather than just reading it over when I studied the web-based material. I fried to relate ideas in the web-based exercises to those in other courses whenever possible. When I studied the web-based material, I went over my class notes and made an outline of important concepts. When I read the web-based material, I fried to relate the material to what I akeady knew. I had a regular place set aside for studying the web-based material. I fried to play around with ideas of my own related to what I was leaming in the web-based exercises. When I studied the web-based material, I wrote brief summaries of the mam ideas from the readmgs and my class notes. When I couldn't understand a concept from the web-based material m gross anatomy, I asked another student m for help with the concept. I fried to understand the web-based material m gross anatomy by making cormections between the readmgs and the concepts from the lectures. 1 made sure that I kept up with the readings and web-based assignments for gross anatomy. Whenever 1 read an assertion or conclusion m the web-based material, I thought about possible ahematives. I made lists of important items in the web-based material and memorized the lists.
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I accessed the web-based exercises regularly. Even when the web-based exercises were dull and uninterestmg, I managed to keep workmg until I finished. I tried to identify students m gross anatomy whom 1 could ask for help with the web-based exercises. When I studied the web-based material, I ttied to determine which concepts I didn't understand very well. I often found that I didn't spend very much tune on the web-based exercises because of other activities. When I studied the web-based material, I set goals for myself in order to dkect my activities m each study period. If I got confused during the web-based exercises, I made sure I sorted it out afterwards. I rarely found time to review my notes or readings before a web-based exam. I ttied to apply ideas from the web-based exercises m other class activities such as lecture and discussion.
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Session 1
1.1
1.2
1.3
1.4
1.5
1.6
APPENDIX C
SESSION OBJECTIVES
Identify the bones and vessels associated with the shoulder and superficial
upper exfremity m radiological hnages (x-rays, CT's, and MRI's).
Describe the distribution of the major cutaneous nerves of the upper lunb.
Describe the muscles that attach the scapula to the spine and their actions
and nerve supply.
Describe the muscles that attach the scapula to the humems and thek
actions and nerve supply.
Describe the pectoral and rotator cuff muscles and thek actions and nerve
supply.
Discuss the clmical anatomy of the shoulder.
Session 2
2.1
2.2
2.3
2.4
2.5
Identify the bones and vessels associated with the axilla and arm in
radiological unages (x-rays, CT's, and MRI's).
Describe the axilla and hs boundaries.
Describe the brachial plexus.
Describe the functional compartments of the arm includmg the muscles,
thek actions, and nerve supply.
Discuss the clinical anatomy of the axilla.
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2.6 Discuss the clinical anatomy of the arm.
Session 3
3.1 Identify the bones and vessels associated with the forearm and wrist ki
radiological images (x-rays, CT's, and MRI's).
3.2 Describe the functional compartments of the forearm including the
muscles, thek actions, and nerve supply.
3.3 Discuss the clinical anatomy of the forearm and wrist.
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APPENDIX D
ACHIEVEMENT EXAMINATION
Question 1:
Type: Rote Memory
Objective(s): 3.1, 3.2
Identify the labeled sttoicture:
A. Brachioradialis B. Extensor carpi radialis longus C. Extensor carpi radialis brevis D. Triceps brachii E. Biceps brachii F. Brachialis G. Pronator teres H. Flexor carpi radialis
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Question 2:
Type: Clmical Vignette
Objective(s):3.1,3.2, 3.3
During surgical removal of a tumor of the upper forearm, the labeled stmcture was cut, mjuring a nerve that passes deep to h. What symptoms would most likely resuh from this nerve mjury?
A. Loss or severe weakness of extension of the forearm at the elbow joint B. Loss or severe weakness of extension of the thumb at the metacarpophalangeal
joint C. Loss or severe weakness of abduction of the index finger. D. Loss of or severely diminished sensation of the skin of the lateral side of the
forearm E. Loss of or severely diminished sensation of the skin of the dorsum of the thumb
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Question 3:
Type: Rote Memory
Objective(s): 3.1
Identify the labeled stmcture:
A. Triquetmm B. Trapezoid C. Trapezium D. Capitate E. Pisiform F. Lunate G. Hamate H. Scaphoid
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Question 4:
Type: Rote Memory
Objective(s): 2.1
Identify the labeled stmcture:
A. Thyrocervical tmnk B. Thoracoacromial trunk C. Subscapular artery D. Ckcumflex scapular artery E. Lateral thoracic artery F. Intemal thoracic artery G. Thoracodorsal artery H. Posterior humeral circumflex
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Question 5:
Type: Clinical vignette
Objective(s): 3.3
During surgery to repak a bloody wound in the area of the "euiatomical snuffbox," the emergency room resident was carefiil to avoid surgical injury to the stmctures in this region, mcludmg all of the followmg EXCEPT the
A. cutaneous branches of the superficial radial nerve. B. tendon of the extensor pollicis brevis muscle. C. tendon of the abductor pollicis brevis muscle. D. radial artery. E. tendon of the extensor pollicis longus muscle
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Question 6:
Type: Rote memory
Objective(s): 2.1,2.4
Identify the labeled stmcture:
A. Serratus Anterior B. Subclavius C. Pectoralis major D. Pectoralis mmor
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Question 7:
Type: Clinical vignette
Objective(s): 1.6
A 16-year-old soccer sttiker was ttipped and fell to the turf on his right shoulder. On exammation, the sports medicme physician determmed that there was a shoulder mjury m which the lateral end of the clavicle slid onto the superior aspect of the acromion. Which of the following ligaments was most likely damaged?
A. Stemoclavicular B. Coracoclavicular C. Costoclavicular D. Coracoacromial E. Glenohumeral
Question 8:
Type: Clinical vignette
Objective(s): 1.4, 1.5, 1.6
Durmg a sfrenuous game of tennis a 55 year old woman complained of severe shoulder pam that forced her to quh the game. During physical exammation h was found that she could not kihiate abduction of her arm, but if her arm was elevated to 45 degrees from the vertical (at her side) poshion, she had no frouble fully abductmg h. Injury to which muscle was responsible?
A. deltoid B. infraspinatus C. supraspinatus D. teres major E. ttapezius
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Question 9:
Type: Cluiical vignette
Objective(s): 3.3
In order to check the pulse of a child whose forearm is in a cast, the pediattician presses her finger uito the depth of the "anatomical snuffbox." The tendon lymg immediately medial to the physician's finger belongs to what muscle?
A. Brachioradialis B. Extensor carpi radialis brevis C. Extensor carpi radialis longus D. Extensor pollicis brevis E. Extensor pollicis longus
Ouestion 10:
Type: Clmical vignette
Objectiye(s): 2.6, 3.2, 3.3
If the medial epicondyle of the humems is fracttu-ed and results m nerve mjury, which muscle would be most affected?
A. Extensor carpi uhiaris B. Extensor digitomm C. Flexor carpi uhiaris D. Flexor dighorum profundus E. Flexor digitomm superficialis
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Ouestion 11:
Type: Clinical vignette
Objective(s): 1.3, 1.5
A man is in an auto accident and sustains several mjuries, among them are:
• Skin lacerations: o on the back of his head in the occipital area, o on his chest just above the nipple, o on the lateral side of his arm, o lateral forearm at midlength, o dorsal hand between his thumb and index finger.
• Abrasions and contusions (bmises) about his right shoulder • A fractured right radius near hs distal end
Later, while undergomg physical therapy because of his shoulder mjury, he comments that it is very painfiil when his forearm is brought across his chest (medial or intemal rotation of the humems). You deduce that the pain is due to sfretching of the lateral (extemal) rotators of the shoulder. Which muscle was most likely the source of his pain?
A. infi-aspinatus B. latissimus dorsi C. rhomboideus major D. supraspinatus E. teres major
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Ouestion 12:
Type: Rote memory
Objective(s): 1.1, 1.3
Identify the labeled stmcture:
A. Deltoid B. Subscapularis C. Supraspinatus D. Trapezius
127
Ouestion 13:
Type: Clinical vignette
Objective(s): 2.4, 2.6
A fracture of the surgical neck of the humems would endanger which of the following?.
A. Median nerve B. Suprascapular nerve C. Axillary nerve D. Acromioclavicular joint E. Armular ligament
Ouestion 14:
Type: Clinical vignette
Objective(s): 3.3
A patient is severely lunited m extension at the wrist joint after several months in a cast followmg a Colles fracture. Which joint would be especially unportant ki therapy to regain full extension?
A. carpometacarpal B. distal radioulnar C. midcarpal D. radiocarpal E. ulnocarpal
128
Ouestion 15:
Type: Clinical vignette
Objective(s): 3.3
When falling on an outsfretched hand, the most commonly dislocated carpal bone is the
A. Scaphoid B. Trapezoid C. Lunate D. Capitate E. Hamate
Question 16:
Type: Rote memory
Objective(s): 1.4
Which of the following stmctures medially rotate the humems?
A. A B. B C. C
129
Question 17:
Type: Rote memory
Objective(s): 1.2,2.3
Which cutaneous nerve is a branch of the musculotaneous nerve?
A. Lateral antebrachial cutaneous B. Medial antebrachial cutaneous C. Lateral brachial cutaneous D. Superficial radial E. Superficial ulnar
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Question 18:
Type: Rote memory
Objective(s): 1.1
Identify the labeled stmcture.
A. Greater tubercle B. Fracture of the Greater ttibercle C. Lesser tubercle D. Fracture of the Lesser tubercle E. Fracture ofthe Anatomical neck
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Ouestion 19:
Type: Rote memory
Objective(s): 3.2
The fimction ofthe posterior uiterosseous nerve is:
A. motor to the brachioradialis B. motor to the extensor carpi ulnaris C. parasympathetic to the dorsum ofthe forearm D. sensory from the wrist joint E. sensory from the dorsum of the forearm
Ouestion 20:
Type: Essay
Objective(s): 1.5,1.6, 2.2, 2.3, 2.4, 2.5
A 52-year-old man is brought to the emergency room after bemg found m the park, where apparently he had lam overnight after a fall. He describes severe pam in his left arm. Physical examination suggests that he has a broken humems. While wahmg for radiology to arrive and x-ray the patient's arm, you recall the locations on the humems that are common sites of fracttires and the sttoictures related to these sites.
Describe the sttoicttu-es that can be injured and the deficits that resuh m each ofthe common locations for a fracture ofthe humems.
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APPENDIX E
EXAMPLES OF ESSAY CODINGS FOR EACH RATER
UserlD 1° PagelD "2 sTime '•"^^ W'a f'racfut ' Sf the sufgicat Tieek of tfie huiftfenjs We axUlaiy tierve is in danger of being aamaged Tttis would result in loss of innervation to the deltoid and lacii of cutaneous feeling in tlie lateral arm In a fracture of the shaft of the humerus the radial' rterv.e is in danger of tjeing damaged. In this instance the patient will lose innervation to the extensor muscles of the forearm leading to a 'wrisl-drop' If the fracture is of the superior condyle the the medial nerve is in danger. This will result in loss of function in the flexors of the forearm and a 'hand of benediction' If ttie medial epicondyle of the humerus is fractured the ulnar nerve is in danger of tieing fractured This results in lack of innervation to flexor carpi ulnans and to parts of the hand The patient will have a 'claw-hand' due to lack of innervation to the fifth and half of the fourth digit.
Figure E.l: Researcher Essay Codmg Example 1. D = Declarative, 1 = Integrative, and R = relational
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The areas that the humerus is usually broken can be divided into several areas the surgical neck, a proximal fracture, a fracture of the S h ^ . adistal fracture al the supercondylar ridge, and a medial epicondyle fracture. If the surgical neck is broken, ttife'Sxillary nervals often injured. This nerve supplies motor functions to the deltoid and Teres minor and cutaneous , sensations on the lateral stde of the arm Damage to this nerve vrould limit abduction oi the arm. A proximal fracture and a ^haft fracUjre are likely to damage the Radial nerve. -This nerve supplies motor functions to the extensors of the arm and forearm and cutaneous sensation over the posterior side of the arm and forearm and the first 3 V2 digits of the dorsal side of the hand Loss of this nerve results in "wrist drop" t>ecause the patient cannot extend their arm. wnst, or digits. A distal break ^iTthe supercondylar ridge would likely damage the median nerve This nerve provides motor funtions to most of the forearm flexors, pronators, the first and second lumbricals, and most of the thenar eminence Loss of the nen/e at the humeral level weakens the flexion of the wrist and first two digits It also causes the arm to remain in a supinated position and the ttiumb to remain adducted Because of muscle atrophy, \he hand takes on an "ape-like" appearance. Lastly, a fracture of the humeral ' njedial epicondyle would likely injure the ulnar nerve; The unlar nerve provides motor function to the part of the FDP, the FCU, the 3rd and 4lh lumbncals, the dorsal and palmar interosseous, the hypolhenar eminence, and the adductor pollicis This gives the hand a claw-like appearance.
V ; .
iG
l Figure E.2: Researcher Essay Codmg Example 2. D = Declarative, I = Integrative, and
R - relational
Anatomical and surgical neck of the hurinerus- axillary and (possibly radial) nerves
"Midhumeral fracture- radial nerve in the spiral groove.
Di^ Figure E.3: Researcher Essay Codkig Example 3. D = Declarative, I = Integrative, and
R = relational
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UserlD 1° PagelD 1 2 sTime 47533 In a fracture of the surgical neck of the humerus the axillary nerve is in danger of being damaged. This would result in loss of innervation to the deltoid and lack of cutaneous feeling in the lateral arm. In a fracture of the shaft of the humerus the radial nerve is in danger of being damaged In this instance the patient will lose innervation to the extensor muscles of the foreami leading to a 'wnst-drop'. If the fracture is of the superior condyle the the medial nerve is in danger. This will result in loss of function in the flexors of the forearm and a 'hand of benediction'. If the medial epicondyle of the humeais is fractured the ulnar nerve is in danger of being fractured. This results In lack of innervation to flexor carpi ulnaris and to parts of the hand The patient will have a 'claw-hand' due to lack of innervation to the fifth and half of the fourth digit.
- r rx r 5 T
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Figure E.4: Subject Matter Expert Essay Coding Example 1. D = Declarative, I = Integrative, and R = relational
UserlD 21 PagelD 1*9 sTime 941827 The areas that the humerus is usually broken can be divided into several areas the surgical neck, a proximal fracture, a fracture of the shaft, a distal fracture at the supercondylar ridge, and a medial epicondyle fracture. If the surgical neck is broken, the axillary nerve is often injured. This nerve supplies motor functions to the deltoid and Teres minor and cutaneous sensations on the lateral side of the arm. Damage to this nerve would limit abduction of the arm. A proximal fracture and a shaft fracture are likely lo damage the Radial nerve. This nerve supplies motor functions to the extensors ofthe arm and forearm and cutaneous sensation over the posterior side of the arm and forearm and the first 3 1/2 digits of the dorsal side of the hand. Loss of this nerve results in "wrist drop" because the patient cannot extend their arm, wrist, or digits. A distal break at the supercondylar ridge vrould likely damage the median nerve. This nerve provides motor funtions to most of the forearm flexors, pronators, the first and second lumbricals, and most ofthe thenar eminence. Loss of the nerve at the humeral level weakens the flexion of the wrist and first two digits. II also causes the arm to remain in a supinated position and the thumb to remain adducted. Because of muscle atrophy, the hand takes on an "ape-like" appearance. Lastly, a fracture of the humeral medial epicondyle would likely injure the ulnar nerve. The unlar nerve provides motor function to the part of the FDP. the FCU. the 3rd and 4th lumbricals, the dorsal and palmar interosseous, the hypothenar eminence, and the adductor pollicis. This gives the hand a claw-like appearance.
b h r b r r
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Figure E.5: Subject Matter Expert Essay Codmg Example 2. D = Declarative, I = Integrative, and R = relational
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UserlD 50 PagelD 172 sTime ' 75387
Anatomical and surgical neck of the humerus- axillary and (possibly radial) nerves.
Mldhumeral fracture- radial nerve in the spiral groove.
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Figure E.6: Subject Matter Expert Essay Codmg Example 3. D = Declarative, I Integrative, and R = relational
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APPENDIX F
IRB APPROVAL AND TRANSCRIPT
INS-nrUTIONAL REVIEW BOARD APPLICATION FORM Protocol for Presentation to the TTUHSC Institutional Review Board (IRB)
TEXAS TECH UNIVERSITY HEALTH SCIENCES CENTER - ASSURANCE NO M.1078
1 TITLE OF STUDY: Theeva lua t i on o f a wob-based metacognit ive t o o l : The e f f e c t o f problem-centered
r e f l e c t i o n on the development o f l ea rn ing .•itrategie.'; associated w i th the d iagnos t i c reasoning process.
SPONSOR NAfi/IE (if internally sponsored, list department name):
For Clinical Trials. Protocol No. Please check trial phase. Ph I D Ph II • Ph 111 D Ph IV D
2. NAME PRINCIPAL IMVESTIGATOR: Reid L. Norman
Campus Address/l\^ail Stop:
OTHER INVESTIGATORS:Bcnny C Shaw, Jr
TITLE DEPARTfiflENT/CAMPUS: Professor Pharmacology
E-mail re id . normangttuhsc. oduPhone: 3-2870 Fax:
Asst VP In fo Services In fomia t ion Tech.
STUDY COORDINATOR
rMOTE: The Princinal Invpstiaator MUST bo a facuhv ineinl><>r - Tralnep. littident. resident, fellow, ptc . mav not be a Princinal InvesticMtor.t
Texas Tech University Health Sciences Center policy on the protection of human subjects requires that all activities involving human subjects, or materials of human origin, irrespective of source of funds, which are directed by or involve faculty, staff, students, or patients at TTUHSC have prior approval of an Institutional Review Board (IRB) mechanism. The information requested in this application will provide the basis for review and approval by that Board.
DO NOT WRTTE BENEATH THIS UNE INmAL REVIEW ACTION OF COMMnTEE
IRB NO: Date Reviewed by IRB Date Approved by IRB: APPROVAL Is for YR or MO(s)
EXEMPT; EXPEOrtED RISK assigned
Duration , Subjects approved: Controls approved:. SPANISH consent form: D Yes 0 Optional
Documents Reviewed:
Investigator's Brochure • Date:
Protocol • Version Date
Questionnaire D Date of IRB Stamp:
Advertisement D Date of IRB Stamp
o ther D Identify (i.e , Dmg Insert, SAE, etc )
CONTINUING REVIEW due: . (at>ptoxinYately) «g^nature df Authorized IRB Representative
ipn mannm
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Transcript of Oral Presentation for Subjects
The purpose of this study is to examine the ways in which students leam in order
to apply this leaming in real world situations. This information can be applied to futtire
instmction in medicine.
The subject will be asked to complete a questionnaire at the beginnmg and end of
this study. The questionnaire will rate study habks, leaming skills, and motivation in the
gross anatomy course and the web-based exercises. After the subject completes the initial
questionnake, the subject will be asked to access web-based leaming activhies for
approximately one hour each day, Monday through Friday, for two weeks. This time
period corresponds with the Upper Exttemity Unit in Gross Anatomy. At the end of this
unit, the subject will be asked to complete a web-based achievement examination
covering the upper exttemity objectives used in this study.
There are no perceived risks or benefits to the subject during this study. This
study is completely voluntary and will in no way affect your grade. However, the web-
based achievement examination will contain questions that are similar in style and
difficulty to those that will be seen in the block examination for the Gross Anatomy
course.
The results will be anonymous and in no way identify you individually.
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