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CHAPTER – III
METHODOLOGY
3.1. Introduction
This chapter deals with the methodology employed for this study. The
research design used in this study is experimental method. The study intends
to find out the ‘effectiveness of remediation on attainment of MLL in
Mathematics among V standard students from Shimoga district of Karnataka
State.’ This chapter presents a detailed description about the tools employed;
techniques used for data collection and method applied to analyze the data.
This chapter includes information on
• Design of the Study.
• Variables of the Study.
• Sample Selected for the Study
• Tools Used for the study.
• Data collection.
3.2. Design of the Study
This is an experimental study with pre and post-test design. In this study the
investigator has selected 18 sub competencies from V standard text book of
mathematics. These 18 sub competencies have drawn from seven main
competencies. These sub competencies were selected because in all the
selected schools these competencies were taught in first semester. Based on
these MLL competencies, investigator adapted a standard test developed by
Kashinath (2005). The adaptation was made in the light of competencies
taught. The adapted test was also tried out on 30 students from V standard.
The pre test was finalized by dropping the competencies which were very
easy and were also very difficult. The opinions of various experts were also
taken for finalizing the adapted test. The test was used as pre and post test
for assessing the effectiveness of the intervention for learning non mastered
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competencies. The investigator developed teaching strategies for teaching
each selected sub-competency. The detail of these strategies discussed at
the end of this chapter.
The investigator used these strategies for teaching all non-masters from rural
and urban schools taken for the study. The investigator took one session in
each school on alternative days for the experimental group. In this way the
investigator covered all the non-mastered competencies during two months of
intervention. After two months of intervention for the experimental groups, the
investigator conducted post test for both controlled and experimental groups.
The control group students were attending regular classes whereas students
from experimental group were attending the intervention class outside the
class room which was taken by the investigator himself. The performance of
the students from pre and post tests was analyzed to assess the effectiveness
of intervention on learning non mastered competencies.
3.3. Variables of the Study
The variable related for the study on “Diagnosis based Remediation on
Attainment of MLL in Mathematics among V Standard Students from Shimoga
District”, included remedial teaching which was considered as independent
variable, attainment of MLL competencies was dependent variable. The other
variables related to the gender, locales of the school (Rural/Urban) were
considered as demographic variables.
3.3.1. Dependent Variable
The dependent variable selected for the present study was level of attainment
on MLL competencies in Mathematics by the non-masters, selected from 5th
standard of rural and urban schools.
3.4. Sample and Sampling Procedure
The present study is conducted in three phases. In the First phase the
researcher visited schools to gather the data regarding the students’
backgrounds from selected schools. The investigator conducted pretest on all
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the students of 166 schools to diagnose non masters in mathematics. This
was done to select sample of the study representing the total population of
non-masters from these schools. Based on pre-test performance, the
investigator selected 10% of total population on random basis from these
selected schools of Shimoga district. Investigator covered the 10% 0f students
carefully from both rural, urban schools and also from boys and girls to have
equal representation. The investigator maintained the same 10%
representation in selection of gender. Total 166 schools selected from the all
seven blocks for meeting 10% representation of the sample selected.
Information regarding type of school, infrastructure etc., was obtained from
Sarva Shiksha Abhiyan (SSA) office, Shimoga district of Karnataka State.
After selection of 10 % of students from 166 Government primary schools of
seven blocks of Shimoga district, researcher visited all the Block Education
officers and Block Resource Persons to get necessary permission for
collecting data needed for the study.
In the Second Phase the researcher collected the data from these schools.
The researcher visited all the schools in person and administered the pre-test
himself with the help of BRC’s and teachers and assured the confidentiality of
the data. The sample of the study initially includes 1457 students from 166
schools in 7 Blocks. All the Government Primary schools of Shimoga district
formed the units of the study. 10% of students selected from each block to
achieve first objective of the study. This sample was stratified on the basis of
rural and urban locale. All the V standard students studying in these schools
initially formed sample of the study. At the end of first semester the students
were given pretest to assess attainment of the MLL competencies taught in
Mathematics.
In order to serve the second objective of the study, four schools out of total
selected schools were randomly selected from Shimoga district, these schools
were selected as the number of non masters were more and the basic
infrastructure, number of teachers, medium of instruction and socioeconomic
status of the families were found to be similar and matching. On the basis of
performance on competencies included in the pre- test of Mathematics, the
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masters and non-masters were identified. Those students who were found
achieving less than 80% of the competencies were non-masters and they
were considered for experimental group for this study.
Figure 3.4.1 Selection of the Sample is diagrammatically as shown below
Government Primary schools In Shimoga district (166)
MLL Competencies Based Pre-test (competencies, which were taught in I semester)
Non-Masters (100)
Experimental Group(50)
Total sample
MLL competencies based Post-test
Remedial teaching through appropriate method by investigator
GHPS - 1 GHPS - 2 GHPS - 3 GHPS - 4
Non Masters
Non Masters Non Masters Non Masters
Control Group(50)
Conventional teaching through regular teachers
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The sample of the study consisted 100 non-mastered students from class V.
These non-masters were randomly selected from the initial survey which was
conducted on 10% students from schools of seven blocks of Shimoga district
Karnataka state. Table 3.4.1(a) gives description of the sample.
Table 3.4.1 (a) : Selection of schools list(block,gender and locale wise) for the sample selection
Sl No Block Locale No. of Schools Boys Girls Total
urban 8 24 47 71 01 Bhadravathi
rural 21 105 81 186
urban 4 21 19 40 02 Sagar rural 23 91 102 193
urban 1 3 3 6 03 Hosanagar rural 19 75 75 150
urban 4 36 25 61 04 Shikaripura rural 22 80 107 187
urban 4 27 24 51 05 Shimoga rural 24 103 107 210
urban 1 9 9 18 06 Soraba rural 14 56 66 122
urban 1 4 8 12 07 Thirthahalli rural 20 70 80 150
Total 166 704 706 1457
Investigator conducted pre-test based on the preliminary survey conducted in
these schools immediately after the completion of first semester. The
investigator met the headmasters and authorities of the schools selected for
the initial survey and explained in detail the process of conducting test. The
investigator conducted pre-test after getting approval of the authorities to
know the MLL attainment levels in mathematics. After identifying the level of
attainments the non-masters were listed after matching basic infrastructure,
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number of teachers, medium of instruction and socioeconomic status of the
families and level of their attainments on the competencies covered in pretest
as masters and non-masters. Finally four schools were selected which were
matched on above mentioned dimensions. In the selected four schools, two
were urban schools and another two were rural schools. All these schools
were Kannada medium government primary schools and they followed the
same syllabus. The number of the schools and number of the students
selected are given in table 3.4.1b & 3.4.1(c).
Table: 3.4.1(b): List of the No of Non Master Students and Schools Selected for the Study
Sl. No.
Name of the school
No. of non master students
Rural/Urban Experimental/Control
group
1 GHPS, Hosamane
25 urban experimental
2 GHPS, Anandapuram
25 rural experimental
4 GHPS, Harakere
25 urban control
3 GHPS, Kashipura
25 rural control
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Table: 3.4.1(c ): Distribution of Sample Based on Gender and Locale
TOTAL SAMPLE
100 NON-MASTER STUDENTS
URBAN RURAL (50) (50)
CONTROLLED EXPERIMENTAL CONTROLLED EXPERIMENTAL GROUP GROUP GROUP GROUP (25) (25) (25) (25)
BOYS GIRLS BOYS GIRLS BOYS GIRLS BOYS GIRLS (12) (13) (12) (13) (13) (12) (13) (12)
The sample consisted of 100 non-master students of V standard from two
urban and two rural Government Primary schools. Among 50 students, 25
students from urban school and 25 students from rural school were selected
for experimental group and remaining 50 students, 25 students from urban
school and 25 students from rural school considered for control group for
assessing effectiveness of the experiment.
The investigator conducted intervention for teaching non mastered
competencies with the selected teaching strategies which had eight
components i.e. sequencing and segmenting, drill-repetition and practice-
review, directed questioning and responses, control difficulty or processing
demands of the task, use of technology, group instruction, supplements to
teacher and peer involvement, strategy cues to non mastered students of
experimental group from rural and urban areas for two months (Jan to Feb
2008). The controlled group selected was attending regular classes.
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3.5. Tool Used for the Study
The present study attempted on diagnosing non masters on the
selected competencies hence the investigator used MLL competency based
test in mathematics. Hypotheses 1 was matched on their MLL attainments,
age, gender and locale and other variables stated above regarding basic
infrastructure, number of teachers, medium of instruction and socioeconomic
status of the families, level of their attainments on the selected competencies.
3.5.1. MLL Competency Based Test in Mathematics
For assessing, MLL competencies selected for the study a test was
adapted after the test developed by Kashinath et:al.,( 2005).The investigator
adapted this test in the light of competencies taught in first semester to V
standard studying in the selected Government primary schools of Shimoga
district. This original test included more number of competencies and sub-
competencies. The investigator confined to the competencies taught only in
first semester to V standard students. Hence the test included the following
competencies listed below.
3.5.2. Competencies covered in Pre Test: i) Numbers
ii) Different numerals
iii) Fundamental operations
iv) Fractions
v) Decimals fundamental operations
vi) Decimals addition and subtraction with mixed operations
vii) Angles
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Table 3.5.1. (a) Blue print of Pre-test
S.No Contents Knowledge Understanding Application Skill Total1 Numbers 1(1) 2(1) 1(1) 1(1) 5(1) 2 Different
numerals 1(1) 1(1) 2(1)
3 Fundamental Operation
2(1) 1(1) 1(1) 4(1)
4 Fraction , decimal and percentage
2(1) 1(1) 1(1) 4(1)
5 Decimal fundamental operation
1(1) 1(1) 1(1) 3(1)
6 Decimal addition, subtraction and mixed fraction
1(1) 1(1) 1(1) 3(1)
7 Geometry angles
2(1) 1(1) 3(1)
Total 5(1) 10(1) 4(1) 5(1) 24(1)
Note:Number outside the bracket indicates number of questions and number
in the bracket indicates marks
Table 3.5.1. (b). Distribution of marks to different instrumental objectives Sl.No. Instrumental Objectives Marks Percentage
1 Knowledge 5 22 2 Comprehension(Understanding) 10 38 3 Skill 3 12.5 4 Application 6 25
Table 3.5.1(c). Content weightage Sl.No. Content/Competencies Marks Percentage
1 Numbers 5 22.5 2 Different Numerals 2 8 3 Fundamental Operations 4 16 4 Fractions, Decimals and Percentage 4 16 5 Decimals Fundamental Operations 3 12.5 6 Decimals Addition Subtraction with mixed
operations 3 12.5
7 Angles 3 12.5
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Table 3.5.1(d). Question Type Weightage
Sl.No. Type of Questions Marks Percentage 1 Objective Multiple Choice Questions 24 100%
One of the objectives of the study was to explore the MLL mastery level in
mathematics for this; the review of related literature was done which revealed
that the mastery level expectations were different for different studies. Ideally
speaking, all children achieving all competencies were indicative of mastery
achievement. However, this was hardly possible owing to various factors. It
was found that the researcher had favoured mastery of at least 80 percent of
the prescribed competencies as the mastery level hence the investigator also
fixed the mastery level at 80 percent. The precise instructional objectives
were formulated for adapting MLL competencies to be considered for
finalizing pre test for this study.
3.5.3. Item construction
Items were generated using the most popular and widely used amplified
objectives approach advocated by Pop Ham and Backer (1973). According to
this approach, a set of items generated to measure an objective includes a)
Response description, b) Content limits, c) Item format specification and d)
Item directions.
3.5.4. The Competencies
All the competencies selected in the remedial teaching were included for
developing criterion referenced achievement test to measure the attainment of
competencies. Following were the competencies on which the criterion
referenced achievement test was developed. The competencies listed in table
3.5.3 included for developing this test.
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3.5.5. Number of sub Competencies Selected
Determining the mastery of the competency depends on the nature of the
competency being measured. For the competencies like writing the numbers
of 5, 6, 7 digits, mastery can be determined by making students write the
numbers 5, 6, 7 digits once. Competencies like identifying their place values
and carryout addition, subtraction, multiplication and division in decimals
addition and subtraction with mixed fractions, mastery cannot be determined
by one or two items. Hence, depending upon the nature of the competency
the number of sub-competencies per competency needs to be covered. While
deciding on the sub competencies required for measuring mastery, items
were selected.
The performance of the students on sub competencies and overall
performance of main competency was considered for assessing their
attainment levels. Students who obtained 80 percent or more in each
competency were designated as masters of the competency measured.
Those who mastered 80 percent or more of the selected competencies, on
the pre-test were considered as the masters of overall competency. Details of
number of sub competencies considered for in each competency along with
the cut of point fixed for mastery level by each competency is given in table
3.5.3.
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Table 3.5.3: Number of Competencies and Sub Competencies Selected for Pre test along with Mastery Level
Sl No Competency Sub competency
Total marks for sub
competencies
Cut of point fixed for
mastery level 80%
• Read and write big numbers according to their place values
• Find out the use of numbers having Ten thousand and Lakh place values
• Expand and arrange the numbers according to the place values, arrange them in ascending and descending orders
1 Numbers
• Write the numbers in order from unit to higher places by increasing the value ten times
5
4
• Know that the numbers indicating quantities in regional and international languages are different
2 Different numerals
• Write the international numerals and numerals of other languages and convert them mutually
2
1.6
• To carry out fundamental operations of five and six digits numbers and solve problems you come across in day to day situations
3 Fundamental operations
• To develop skills in writing numbers according to their place values and carry out addition, subtraction, multiplication and division
4
3.2
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• Ability to convert the given fractions into equivalent fractions
• Ability to analyze and solve problems of fractional operations(addition and subtraction) in daily life with proper understanding
• Ability to arrange the given three or four decimal places in ascending and descending order
4 Fractions, decimals and percentage
• Ability to find the relationship between fractions, decimals and percentage
4
3.2
• Skill in using fundamental operations of addition and subtraction with decimal numbers in your daily life
5 Decimals fundamental operations
• To carry out fundamental operations of 5 and 6 digit numbers and solve problems you come across in day-to-day situations.
3
2.4
• To carry out fundamental operations of decimal numbers and solve problems you come across in day to day situations.
6 Decimals addition and subtraction with mixed operations • To develop skill in writing
numbers according to their place values and carryout addition, subtraction with mixed operations.
3 2.4
• Constructing angles of different measurement using protractor
7 Geometry-angles
• Skill in using geometrical instrument accurately
3 2.4
3.6. Preliminary Try Out
3.6.1. Standardization of the Test
The quality of the MLL competency based test was assessed in terms of two
characteristics, Reliability and validity for this purpose. This test was
administered on 30 students from Government Lower Primary School,
Venkateshnagara and Government Lower Primary School, Lakkinakoppa,
Shimoga district to establish the reliability and validity.
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3.6.2. Administration
The investigator used the adapted test which was based on MLL
competencies. This pre-test was used for diagnosing non-mastery of the
students. The investigator with the help of teachers administered the test on
the 1457 students in 166 Government primary schools of seven blocks of
Shimoga district. The norms were followed for administration of the test as
given in the original test developed by H.M. Kashinath.
The pre-test adapted was subjected to a pilot study to establish the
discrimination power of each of the items in the test. Instructions to the
students were clearly given on the top sheet. The test was administered to a
sample of 30 students from Government Lower Primary School,
Venkateshnagara and Government Lower Primary School, Lakkinakoppa,
Shimoga district. These two schools were selected through random sampling
technique and selection of students for this was done in consultation with the
concerned teachers. The investigator selected five high achieving, five
average achieving and five low achieving students from each school as
sample.
Instructions to students for taking the test were adapted from the original test
keeping in mind their age level and mental ability. The general guideline for
giving the test was prepared for the use of the teacher. The teacher read out
the instructions in the beginning of the test, as the target group was V
standard students. Specific guidelines were included along with the questions.
All questions were answered in the space provided in the question paper as
all the questions selected were objective type. The cover page also included
items in the form of blanks to enable the investigator identify the respondent.
The identification data consisted of name, sex and name of the school.
3.6.3. Scoring
The test used was in Kannada hence the investigator explained to the
students how to write their responses in given blocks. The scoring of the
answer scripts were done according to the key prepared. Right answer carried
one mark and zero to the wrong answer.
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3.6.4. Item Analysis
An item analysis was done for adapting test to find out the effectiveness to
each competency and its capacity of discriminate between the high and low
group. The final selection of the competency was done based on the expert
opinion for each statement. The expert opinion were sought to know to what
extent to the given statement was appropriate. The pre-test was modified and
finalized according to expert’s opinion.
3.6.5. Reliability of the Achievement test
“The reliability of a test or any measuring instrument depends upon the
consistency with which it gauges the ability to which it is applied” (H. E.
Garret,1966). There are number of approaches to assess the reliability of a
test. The choice of approach depends on the type of information one is
seeking. As a test score is only interpretable when the test possesses
substantial internal consistency, that is, all the items in the test measure the
same construct, the coefficient of internal consisting would be interest
(Cronbach, 1951). In this study the coefficient of internal consistency has
been obtained by using the split-half method. Reliability refers to the
consistency with which a test measures whatever it measures. There are a
number of approaches to assess the reliability of test. The choice of approach
depends on the type of information one is seeking. The test scores can be
interpreted when it possesses substantial internal consistency. In this study
the coefficient of internal consistency was obtained by the investigator also
found out internal consistency through using the split half method. A test is
said to be internally consistent if all its items measures the same thing. To
estimate the internal consistency of the test the split half method has been
used. The coefficient of internal consistency has been computed for the test
by finding the product moment correlation between the score on odd and even
numbered sub competencies and then self correlation coefficient of the whole
test has been estimated by using spearman-brown prophecy formula.
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Nrt 2t/2 rtt = ——————————— (n-1)rt 1 + 2t/2
The reliability was found as 0.77. Thus the test has a high reliability.
3.6.6. Validation of the Test
The test is valid if the scores it assigns to examinees are free from constant
and systematic errors and hence the interference based on these scores is
justified. The content validity of the test refers to the extent to which the test
contains a representative sample of items, which define the content domain of
interest.
Copies of the this test were distributed, along with the copies of the list of
competencies selected to six content specialists in mathematics education
and mathematics teachers of regional Institute of Education and Subject
Inspector and experts in mathematics in Shimoga district. The experts are
requested to judge the relevance of each item in the test and to critically
examine them to ascertain the adequacy and clarity of the items. Based on
the opinion of the content experts, suitable modifications were made in the
test.
After the test was scrutinized by the experts, it was administered to a few
selected students as stated earlier. The choice of these schools was
purposive as these two schools were Kannada medium schools and they
followed state curriculum. As far as the selection of students was concerned,
the investigator in consultation with the concerned teachers selected five high
achieving, five average achieving and five low achieving students from each
school. The purpose of this testing was to determine the language and
content appropriateness of the test. The test was competency wise taking
three or four sub competencies at a time. The time taken to complete
answering to the questions on each competency by student was noted down.
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The total time taken to answer the written test by high achiever was
approximately 40 minutes and that of an average achiever was around 45
minutes and a low achiever was about 50 minutes. Based on this
administration of the test the investigator arrived at a decision that the time for
administering the test should be 45 minutes. This tryout also brought about
some modifications (review of difficulty level) in the tests for the test takers.
The final versions of the tests are given in appendix.
3.7. Experiment Conducted
The procedure adopted for conducting the experiment is as follows:
5) Administration of the pre-test
6) Experimental treatment
7) Administration of the post test
3.7.1. Administration of the Pre-Test
The researcher visited all the schools in person and administered the test
himself with the help of BRP’s( Block Resource Person) and teachers and
assured the confidentiality of the data. At the end of first semester the
students were given test to assess their attainments on the MLL
competencies taught in Mathematics.
Instructions to students for taking the test were adapted from the original test
keeping in mind their age level and mental ability. The general guideline for
giving the test was prepared for the use of the teacher. The teacher read out
the instruction in the beginning of the test, as the target group was V standard
students. Specific guidelines were included along with the questions. All
questions were answered in the space provided in the question paper as all
the questions selected were objective type. The time allotted for the test was
45 minutes. The cover page also included items in the form of blanks to
enable the investigator identify the respondent. The identification data
consisted of name, sex and name of the school.
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This test was used for diagnosing non-mastery of the students over the
covered competencies in the test. The investigator with the help of teachers
administered the test on the 1457 students from 166 Government primary
schools in seven blocks of Shimoga district. The norms were followed for
administration of the test as given in the original test. Since medium of
instruction of the selected Government primary schools was Kannada and the
test selected was also Kannada. The subjects were asked to answer all the
questions. The key was prepared simultaneously. For correct answers one
mark was assigned and for wrong answer zero mark.
3.7.2. Experimental Treatment
Based on the pre test it was found that students were lacking in
competency (major and minor competency) in solving problems in the
selected competencies. The intervention for developing non-mastered
competencies was given through teaching strategies which had 8 components
i.e. sequencing and segmenting, drill-repetition and practice-review, directed
questioning and responses, control difficulty or processing demands of the task, use of
technology, group instruction, supplements to teacher and peer involvement, strategy
cues to the experimental groups for a period of two months (from January to
Feb,2008) in the two schools selected each from rural and urban. The
teaching strategies for mastering the non-mastered competencies were
prepared by the help of available library information and discussed with the
guide and experts in mathematics teaching. The investigator requested the
authorities to allow him to teach the experimental groups according to the
features of the teaching strategy. One mathematics class was taken in each
school on alternative days for both urban and rural schools which represent
experimental group and the control groups were taught as usual by the
regular teachers.
3.7.2.1. Diagnosis Based Remediation
The investigator used varied of strategies designed for the study consisting of
the content and varied activities inside and outside the classroom to develop
the identified competencies in mathematics among the students of V
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standard. Here Investigator diagnosed the difficulties of the problems in each
competency in which students been non mastered. The remediation was
developed as a program which involved explicit Instruction on the basis of
cognitive strategy, incorporates research-based practices and instructional
procedures such as cueing, modeling, verbal rehearsal, and feedback. The
intervention sessions were well organized and structured in which appropriate
cues and prompts were built in so that students learnt and practiced the
cognitive and meta cognitive processes involved in learning competencies in
mathematics. Each non-mastered student was provided with immediate,
corrective, and positive feedback on his/her performance. The investigator
focused on mastery learning and automaticity were goals of intervention.
Explicit instruction allowed students to be active participants as they learnt
and practiced math problem-solving processes and strategies used by the
investigator during intervention session. The approach followed emphasized
active interaction among non-mastered students and investigator.
The remediation program as a whole consisted of eight components of
effective strategy instruction which were discussed below.
1. Sequencing and Segmenting
Sequencing and segmenting means breaking the task into component
subparts, providing short activities, and synthesizing the parts into a whole.
For example, each cognitive process/self-regulation strategy routine was
taught consecutively, began with reading the problem as a necessary first
step for solving the problem. The non-mastered students were taught to read
the problem and then asked about themselves if they understood it. They
were then taught to go back and reread it until they decided they understood
it. At the beginning of instruction, the investigator modeled the process and
provided plenty of step-by-step cues and prompts to the non-mastered
students for practice. Eventually these cues and prompts were phased out
after non-mastered students knew what to be done. They learnt how to
paraphrase or retell problems. The non-mastered students learnt the
paraphrasing routine, which was then added to the reading routine.
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Subsequently, non-mastered students had mastered a sequence of two
important processes for solving mathematical problems.
2. Drill-Repetition and Practice-Review
This component included progress checks to measure mastery skill,
sequenced review, repeated practice, distributed review and practice using
the same or similar practice problems, and ongoing and positive feedback.
For example, the paraphrasing routine was taught and then students
practiced on their own and also with peers.
a. PARAPHRASE: In this strategy the investigator asked the non-mastered
students to underline the important information in given sheets and putting the
problem in their own words. Then asked themselves whether the important
information had been underlined, what the question was and what they were
looking for.
b. Progress Check: On this the investigator modelled the routine (situation)
and guided the non-mastered students to follow the routine, they were
provided with practice until the routine became automatic. Then they learnt
how to paraphrase math word problem, through this they also learnt to
evaluate themselves using a progress check as a strategy.
3. Directed Questioning and Responses
Intervention used for remediation followed guided discussion technique to
promote overcoming difficulties adequately. All the non-mastered students
were engaged from the very beginning through an initial discussion of the
importance and strategies used for mathematical problems to the non-
mastered students to confirm whether they used this properly. In this session
the students also learnt setting the performance goals and they appeared as a
better problem solver. Investigator asked both “process-related” and “content-
related” questions. Non-mastered students were helped by the investigator
directed to ask questions for getting right solutions. Non-mastered students
were also taught when and how to ask for help.
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4. Control Difficulty or Processing Demands of the Task
Arranged tasks from easy to difficult and the investigator demonstrated on the
use of appropriate cues and prompts, and participating in guided discussion.
Since intervention was planned for primary school students for providing
problem-solving instruction started with one-step change addition problems in
which the “ending” was unknown. When students had mastered the problem
solving routine with problems of this type, they progressed to one-step change
problems in which the change was unknown. They progressed to change
problems in which the beginning was unknown, and so forth.
5. Use of Technology
Technology extended beyond audio visual aids/concrete materials which
included structured text, diagrams, flow charts, structured curricula, scripted
lessons, and various manipulatives. Students who were learned to be better
math problem solvers were taught how to use manipulatives to facilitate
computation after their understanding of math facts for addition and
subtraction had been mastered.
6. Group Instruction
Non masters who had math problem solving difficulties were taught in small
groups (5-8 students) to maximize investigator and student interaction.
Interaction between investigator and students and among peers was the
cornerstone of remedial teaching. Remedial teaching was intensive and time-
limited.
7. Supplements to Teacher and Peer Involvement
Non-masters in fifth grade, reading skills were given, cue cards to study for
homework as they memorized and learnt the various problem-solving
processes and self-regulation strategies. e.g., used the Jitendra, et al.
strategy for change problems, students first learnt to “find the problem” type
by reading the problem, retelling the problem, and asking themselves if it was
a change problem. They checked the box on the self-monitoring checklist as
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they completed the task. When they had mastered how to “read” and retell a
math word problem, they advanced to the organization step. Each step was
added successively until they had learned and applied the entire routine. After
small group instruction or homework, students were expected to return to the
general education math class and use what they had learned about solving
math problems. General education teachers must be made aware of the
instruction that non-mastered students were receiving and supplemented and
supported this remediation program in the general education math classes. To
do this, it was essential that general education teachers and investigator
communicated regularly about the non-mastered students and the instruction
and coordinated what was taught in the general education class with what
was taught in the remedial teaching class and vice versa. Continuity across
general and remedial teaching was essential for non-mastered students
success. General education teachers must reinforce what students had
learned to ensure that they applied appropriately, and also maintained,
acquired skills and strategies.
8. Strategy Cues
Non masters were given reminders and prompts such as individual Student
Cue Cards to carry with them for home and class use, Master Class Charts on
the classroom walls, problem type diagrams, think-aloud protocols, and
discussion about the benefits of using strategies.
i. Verbal Rehearsal Before non-mastered students actually solved problems, they first learned the
steps and memorized them by using verbal rehearsal. This was a memory
strategy that enabled non-mastered students to recall automatically the math
problem-solving processes and strategies. Non-mastered students in primary
school were learnt a SAY, ASK, CHECK routine similar to Montague’s (2003)
or Jitendra’s (2005) as they were learning how to represent problems.
Frequently, acronyms were created to help non-mastered students remember
as they verbally rehearsed and internalized the labels and definitions for the
processes and strategies. For Jitendra’s math problem-solving routine, the
acronym FOPS was created (F = Find the problem type, O = Organize the
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information using the change diagram, P = Plan to solve the problem, and
S = Solve the problem. Cues and prompts were used to help non-mastered
students as they memorized the processes and their definitions. When
students had memorized the math problem-solving routine, they cued other
non-mastered students and the investigator during practice sessions.
ii. Process Modeling Process modeling was thinking aloud while demonstrating an activity. For
mathematical problem solving, this mean that the problem solver said
everything she or he was thinking and doing while solving a problem. When
non-mastered students were first learning how to apply the processes and
strategies, the teacher demonstrated and modeled what good problem solvers
did as they solved problems. Students had the opportunity to observe and
hear how to solve mathematical problems. Both correct and incorrect
problem-solving behaviors were modeled. Modeling of correct behaviors
helped non-mastered students understood how good problem solvers used
the processes and strategies appropriately. Modeling of incorrect behaviors
allowed non-mastered students to learn how to use self-regulation strategies
to monitor their performance and located and corrected errors. Self-regulation
strategies were learned and practiced in the actual context of problem solving.
When non-mastered students learned the modeling routine, then they were
exchanged places with the investigator and become models for their peers.
Initially, non-mastered students needed plenty of prompting and reinforcement
as they became more comfortable with the problem-solving routine. However,
they soon became proficient and independent in demonstrating how good
problem solvers solved math problems. One of the instructional goals was to
gradually move non-mastered students from overt to covert verbalization. As
non-mastered students became more effective problem solvers, they began to
verbalize covertly and then internalized. In this way, they not only became
more effective problem solvers, but they also became more efficient problem
solvers.
iii. Visualization Visualization was critical to problem representation. It allowed non-mastered
students to construct an image of the problem on paper or mentally. Non-
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mastered Students showed how to select the important information in the
problem and develop a schematic representation. To do this, investigator
modeled how to use manipulatives to represent a problem, and then how to
draw a picture or make a diagram that showed the relationships among the
problem parts using both the linguistic and numerical information in the
problem. These three-dimensional and two-dimensional visual
representations took many forms and varied from one non-mastered student
to another. As non-mastered students became better problem solvers, they
used a variety of visual representations including manipulatives, pictures,
tables, graphs, or other types of displays. Initially, non-mastered students
showed how to use the manipulatives and also how to translate the results of
their manipulations with concrete objects to more symbolic representations
using paper and pencil, e.g., the problem type diagrams. Later, as non-
mastered students became more proficient, they progressed to mental
images. Interestingly, if the problem was novel or challenging, they frequently
returned to conscious application of processes and strategies, which was
typical of good problem solvers.
iv. Role Reversal Role reversal was an important remedial teaching activity that promoted
independent learners. As non-mastered students became familiar with the
math problem-solving routine, they took the role of investigator as model and
actually changed places with the investigator. They used a manipulative just
as the investigator did and engaged in process modeling to demonstrate that
they applied effectively the cognitive and meta cognitive processes and
strategies they had learned. Other non-mastered students prompted or asked
questions for clarification. In this way, non-mastered students learned to think
about, explanation, and justification of their visual representations and their
solution paths. Investigator also took the role of the non-mastered student,
guided the “non-mastered student as investigator” through the process.
v. Performance Feedback Performance feedback was critical to the success of the program. Progress
checks were given throughout instruction to determine mastery of the routine.
Investigator and parents assisted non-mastered students with graphing their
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progress and visually displaying their performance, which wais very
reinforcing for them. Investigator carefully analyzed performance during
practice sessions and provided each student with immediate, corrective
feedback. Appropriate use of processes and strategies was reinforced
continuously until non-mastered students became proficient. Non-mastered
Students needed to know the specific behaviors for which they were praised
so they repeated these behaviors. Non-mastered students were taught how to
give and receive reinforcement and to reinforce themselves, and had plenty of
opportunities to practice doing it. The goal was to teach non-mastered
students to monitor, evaluate, and reinforce themselves as problem solvers.
vi. Distributed Practice Distributed practice was the cornerstone for ensuring that non-mastered
students maintained what they had learned. To become good math problem
solvers, non-mastered students learnt to use the processes and strategies
that successful problem solvers used. As a result, their math problem-solving
skills and performance levels improved. However, to achieve high
performance, non-mastered students were given ample opportunity to
practice initially as they learned the math problem-solving routine and, then, to
maintained high performance, they continued to practice intermittently over
time. They practiced individually, in teams and in small groups. They involved
in solving a range of problems from textbook-type problems to problems
encountered in real life.
vii. Mastery Learning Prior to remedial teaching, a pretest was given to determine baseline
performance levels of individual students. During remedial teaching, mastery
checks were given to monitor non-mastered students’ progress over time and
to determine effectiveness of the program. If students were not making
sufficient progress, booster sessions provided to improve performance levels
to mastery. Booster sessions were brief lessons to review and refresh what
non-mastered students had previously learned and mastered.
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3.7.3. Administration of the post test
After the proposed treatment had been given to the subjects, the
second phase of the data collection was started. At the end of the treatment
MLL based achievement test was administered to the experimental and
control group students. The instructions were strictly adhered to as given in
the preliminary information and note in the test paper.
3.8. Statistical Techniques Employed in the study
Using SPSS for windows (version 16.0) following statistical methods were
employed for the data collected in the present investigation.
1. Contingency coefficient analysis
2. Independent samples ‘t’ test
3. One-way Analysis of Variance
4. Duncan’s Multiple Range test
5. Repeated measure ANOVA