RIVERSIDE AUTO CENTER SPECIFIC PLAN - Riverside, California | City
Supplemental Instruction (SI) at Riverside City College
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Transcript of Supplemental Instruction (SI) at Riverside City College
Supplemental Instruction (SI)at Riverside City College
Unlocking the 21st Century Learner
Introductions
Rebecca Moon-Stone, Supplemental Instructional Coordinator
Myung Hwa Koh, Ph.D., Outcomes Assessment Specialist
• Supplemental Instruction (SI) is an academic assistance program that utilizes regularly scheduled, peer-facilitated study sessions.
• Sessions are informal; students compare notes, discuss readings, develop organizational tools, and predict test items.
• Students learn to integrate course content and study skills while working collaboratively.
• Students learn skills that allow them to be successful in their current courses and throughout their academics.
UMKC Model for Supplemental Instruction (SI)
www.umkc.edu/cad/si/overview.html
• Sessions are led by SI leaders--those students who have previously done well in the course and attend all class lectures, take notes, and act as “model” students at all times. • Trained in collaborative learning techniques
and in the integration of content and study skills
• Students’ “near peers”• SI sessions are voluntary and free to
students
UMKC Model for Supplemental Instruction (SI) – cont.
• To increase retention, to improve student grades, and to raise student graduation rates within targeted historically difficult courses• at-risk students vs. at-risk courses
• early implementation avoids remedial stigma• “each institution may develop its own definition of ‘high-risk
courses’” (Martin & Arendale, 1994)• theoretical framework based on seminal learning theories
• Vgotsky – Social Interdependence Theory• Skinner – Behavior Theory• Piaget – Cognitive Development Theory• Kozol – Interpretive/Critical Theory
The Purpose of SI is…
• SIs are placed in developmental education courses in English, Reading, Math and English as a Second Language (ESL)
• SIs are also placed in all of our basic skills Community for Academic Progress (CAP) Learning Communities, and CTE courses.
• Study Group Leaders (SGLs) work with multiple sections of a single course level and utilize the same collaborative group strategies• Typically Math or Science disciplines
SI at RCC
• Funding for SI:• Funding provided through CCRAA and/or BSI
Initiative• Technology component:• Both SIs and SGLs participate in iTunes U
podcasting projects (ADA Compliant)• In addition to a comprehensive two-day training
and ongoing in-services, RCC offers a forum for SIs to discuss strategies and collaborate via Facebook
• Marketing tool via email, individual SIL websites (TeacherWeb), social networking sites (MySpace, Facebook, etc.), text messaging
SI at RCC - cont.
http://itunesu.rcc.edu – Click on Public Access
Reading SI Session
Mock SI Session
• Recruitment• Faculty recommendation forms• SI Leader recommendation• End-of-Term survey • Advertising
• Hiring• Panel Interview
• Application (required faculty recommendation) • Demonstration lesson on special topic (faculty-driven)
• General HR requirements
Recruitment & Hiring
• Beginning of Term Survey• Assesses student’s initial impression of SI and
student self-assess their behavior (note-taking, etc.)
• Beginning-of-Term Benchmark• Measures student initial behavior
and NOT academic performance
• Mid - Term Benchmark• Measures changes in student behavior
and initial academic performance/grade
Data Collection/Forms
Week 3
Week 8
• End-of-Term Survey• Assesses student’s overall impression
of SI and student self-assess their behavior (note-taking, etc.) - measures changes from Week 3
• End-of-Term Post SI Survey (for SI group only)• Measures students self-reported classroom
behavior and nature of services provided through SI sessions
• End-of-Term Benchmark (Mid-point @ 6wks.) • Measures changes in student behavior
and academic performance/grade to assess academic growth
Data Collection/Forms – cont.
Finals Week
• Forms Collected by SI leaders:– Schedule Request Form– Planning Form
• Course/Section information• Implementation plan/nature of services rendered
– Sign-In Form• Timing of services
• Other data Elements
• Demographics (age, gender, ethnicity, special groups• Course grade/semester GPA• Success rate• Average attendance rate• Term-to-term persistence• Control group (w/in group) – eliminates faculty variable
Other Data Collection/Forms
• During fall 2008 and spring 2009 academic year, 591 SI sessions were offered in 58 courses across five disciplines (English, ESL, Mathematics, Reading and Speech) to 660 students. Forty-six (46) students participated in SGL sessions in Mathematics.
• During fall 2009 and spring 2010 academic year, 2,694 SI sessions were offered in 58 courses across 10 disciplines (English, ESL, Mathematics, Reading, Speech, Humanities, Library, Sociology, Automotive Technology and Film Television) to 643 students. Two hundred forty-one (241) students participated in SGL sessions offered in four disciplines (ESL, Mathematics, Reading and Speech).
• During the fall 2010 and spring 2011 academic year, SI sessions were offered in 60 courses across 15 disciplines. Disciplines added to previous offerings include Administration of Justice, Applied Digital Media, Automotive, American Sign Language, History, Microbiology and Welding. SGL sessions were offered in four disciplines (Biology, Chemistry, Mathematics and Physics). The SI program expanded to the Science Technology Engineering and Math (STEM) and Career Technical Education (CTE) Programs
Students Served
Students Served - cont• Two thousand six hundred and twenty seven (2627) students
participated in SI program between Fall 2008 and Spring 2010 (duplicated head count). In the Fall 2008 SI program, 268 students participated. In the Spring 2009 SI Program, 248 students participated. In the Fall of 2009, 373 students participated. In the Spring of 2008, 302 students participated. In the Fall of 2010, 561 students participated. Finally, 875 students participated in the Spring of 2011 indicating the program has quadrupled in size since is inception.
• Five hundred and five students (505) participated in the SGL program between the Spring 2008 and Spring 2010 semesters (duplicated head count). In the Spring 2008 SGL Program, 46 students participated. If the Fall of 2008, 155 students participated in SGL and in the Spring of 2009, 93 students participated in SGL. In Fall of 2009, 91 students participated in the SGL program and by Spring of 2010 the SGL program grew and served 120 students.
Demographics – Age
• In comparison to RCC 2009 data, SI/SGL serves a much younger student population. RCC data shows 31% under 20 and 33% in 20-24 age group
Under 18 18-19 20-24 25-29 30-34 Over 350.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
35.0%
40.0%
45.0%
50.0%
0.4%
39.7%
36.5%
11.9%
3.7%
7.7%
2.2%
45.5%
25.2%
8.9%
4.9%
13.3%
1.6%
33.6%34.9%
11.2%
6.0%
12.8%
Year 1Year 2Year 3
Demographics – Gender
• In comparison to RCC 2009 data, the gender composition of SI/SGL students is similar to that of RCC students in general. RCC data show 41% male and 58% male.
Female Male Other0%
10%
20%
30%
40%
50%
60%
70%62%
38%
1%
58%
41%
1%
52%48%
1%
Year 1Year 2Year 3
Demographics – Ethnicity
• In comparison to RCC 2009 data, SI/SGL serves a larger percentage of African American and Hispanics students. RCC data shows 10% African American and 37% Hispanics.
Asian /Pac Is-lander
African American Hispanic White Other 0%
10%
20%
30%
40%
50%
60%
7%
15%
53%
18%
7%9%
14%
49%
19%
9%12% 11%
45%
21%
11%
Year 1Year 2Year 3
1. Does the Supplemental Instruction (SI) program impact student retention and student success and/or academic growth?
2. Is student success associated with the amount of time spent in SI sessions?– At “what point” does SI make a difference?– If n (minutes) of SI is related to growth or success, then do
students who attain n minutes have an increase in terms of GPA?
3. Do the Study Group Leader (SGL) sessions impact student success and retention?
Guided Research Question
Overall Success Rates
SI Non-SI SGL Non-SGL0.0%
10.0%
20.0%
30.0%
40.0%
50.0%
60.0%
70.0%
80.0%70.5%
47.1%
65.2%
44.7%
Note: Values significant p<.05 are indicated by *. The Chi-Square test was used to determine the statistical significance.
Overall Retention Rates
SI Non-SI SGL Non-SGL0.0%
10.0%
20.0%
30.0%
40.0%
50.0%
60.0%
70.0%
80.0%
90.0%
100.0%89.6%
75.1%
90.3%
75.1%
Chart Title
Series1
Overall – Mean # of hours and Relationship to Success Rate
Success Subgroup Failure SubgroupN Mean (hours) N Mean (Hours)
Year 1 465 4.7 232 2.9Year 2 554 5.6 226 4.0
Year 3 1109 7.4 436 4.7
Overall, students who were successful in a course in terms of grade spent significant more time in SI instructions. • In Year 1, on average they spent 62 % more time SI session
compared with those who were not successful in terms of grade. • In Year 2, on average they spent 40% more time SI session
compared with those who were not successful in terms of grade. • In Year 3, , on average they spent 57 % more time SI session
compared with those who were not successful in terms of grade.
Success Rate +/- 5 to 6 hours
5 > SI < than 5 SI Non-SI0.0%
10.0%
20.0%
30.0%
40.0%
50.0%
60.0%
70.0%
80.0%
90.0%
78.7%
63.7%
50.0%
75.8%
68.4%
45.7%
80.5%
67.7%
51.3%
Year 1Year 2Year 3
Average GPA
Term SI + 6 hours SI Non-SI
Fall 2009 2.45 2.35 1.79
Spring 2010 2.54 2.45 2.04
• Difference of .66 in Fall 2009 from SI + 6 hrs. and Non-SI.• Difference of .50 in Spring 2010 from SI + 6 hrs. and Non-SI.
Fall 2009 SI + 6 hours SI Non-SIAUT 83% 83% 74%FTV 95% 93% 70%ADJ 91% 39%
CTE Success
Spring 2010 SI + 6 hours
SI Non-SI
AUT 100% 71% 54%FTV 100% 91% 71%ADJ 83% 36% 18%WEL 100% 84% 75%ADM 100% 100% 61%
• What is the impact of SI on the SI leader?• Is there evidence that SI or SGL works best in
specific disciplines and/or academic levels within a single discipline?
• Is there a relationship between academic growth (grades and level of responsibility) and SI?– Level of responsibility includes (but is not limited to)
successful completion of assignments, clear communication with the course instructor, respectful behavior, timeliness and preparation for class.
Future Data Collection and Analysis