The Effect of Supplemental Instruction on Transfer Student Success in STEM Courses
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The Effect of Supplemental Instruction on Transfer Student Success in STEM Courses National Institute for the Study of Transfer Students January 26, 2012 Marty Bonsangue, Mark Filowitz, James Hershey, Hye Sun Moon, Ed Sullivan, and Sean Walker This study was funded in part by the National Science Foundation
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The Effect of Supplemental Instruction on Transfer Student Success in STEM Courses. National Institute for the Study of Transfer Students January 26, 2012 Marty Bonsangue, Mark Filowitz , James Hershey, Hye Sun Moon, Ed Sullivan, and Sean Walker - PowerPoint PPT Presentation
Transcript of The Effect of Supplemental Instruction on Transfer Student Success in STEM Courses
The Effect of Supplemental Instruction on Transfer Student Success in STEM Courses
National Institute for the Study of Transfer StudentsJanuary 26, 2012
Marty Bonsangue, Mark Filowitz, James Hershey, Hye Sun Moon, Ed Sullivan, and Sean Walker
This study was funded in part by the National Science Foundation
California State University Fullerton• Second largest univ. in the 23-campus CSU system– >35,000 students enrolled – 57% Female– HSI Status– Ethnic Distribution- Fall 2011
• Hispanic 32%• White 30%• Asian/Pacific Islander 22%• African American 3%• Indian, Multiple Race Non-Hispanic, International Students and
Unknown 13%
• Admit approx. 5,000-6,000 transfer students per year
Biology 171 Evolution and Biodiversity
• First course in the Biology Major at CSUF• Large lecture – 180 to 240 students per class• 40 – 60% Success Rate• Topics & Skills– Organismal Diversity– Microevolution– Macroevolution– Descriptive Statistics, Presentations, Scientific
Writing
Math 150A – Calculus I
• First course in the Math, Computer Science, and Engineering Majors at CSUF
• Small classes – 25 to 40 students per class• 30 – 60% Success Rate• Topics & Skills– Functions– Derivatives and Integrals– Applications– Presentations, Mathematical Writing
What is Supplemental Instruction?
• Developed at University of Missouri at Kansas City
• Targets Tough Classes, NOT Students or Professors (< 70% passing rates)
• Difficult Material, not Evil Professor
More on SI• Four Key Players– SI Supervisor– Faculty– SI Leaders– Students
• Leaders are trained, go to class and model good student behavior, and meet regularly with supervisor and faculty
Bio 171 SI Leaders Fall 2011
SI at CSUF• Began in 2008 with four classes
(2 secs Calculus I, 2 secs Biodiversity)• In Spring 2012, approx 800 STEM students
participating across 45 sections• Forty-five undergrad SI leaders involved• CollAlg, Precalc, BusCalc, Calc 1 & 2,
Biodiversity, GenChem, OChem, & CompSci• All students enrolled in course are actively
invited and recruited
Summary of SI Results• Success rates around 80 % (SI) v. 50 % (non-SI)• GPA around 2.5 (SI) v. 1.7 (non-SI)• Significant results for each ethnic and gender
group• Strongest effects observed for URM students
and transfer students• No differences in academic predictors for SI
and non-SI students (overall & within groups)
Focus on Calculus ICalc I Data: Fall 2008-Spr 2011
Native Students Course GradeCalc I Course Grade: URM by SI Partic.
NOT PARTICIPANT PARTICIPANT1.00
1.50
2.00
2.50
1.26
2.17
1.74
2.41
URMNon-URM
Native Students Calc I Success Rate: URM by SI Partic.
NOT PARTICIPANT PARTICIPANT0.10
0.30
0.50
0.70
0.90
0.38
0.73
0.58
0.81
URMNon-URM
Transfer StudentsAcademic Predictors
Non SI SI
No. of Students 40 34Transfer GPA 2.95 2.97
Transfer Students OnlyCalculus I Results
Non SI SI
Course Grade 1.43 2.40Success Rate 45 % 79 %
Transfer StudentsCalc I Course Grade: URM by SI Partic.
NOT PARTICIPANT PARTICIPANT0.50
1.00
1.50
2.00
2.50
0.66
2.30
1.82
2.40
URMNon-URM
Transfer StudentsCalc I Success Rate: URM by SI Partic.
NOT PARTICIPANT PARTICIPANT0.10
0.30
0.50
0.70
0.90
0.20
0.89
0.58
0.76
URMNon-URM
Transfer Students Calc I Course Grade: Ethnic. by SI Partic.
NOT PARTICIPANT PARTICIPANT0.50
0.70
0.90
1.10
1.30
1.50
1.70
1.90
2.10
2.30
2.50
1.77
2.42
0.83
2.43
1.27
2.11
1.88
2.45ASIAN - Total
Black - Total
HISPANIC - Total
WHITE - Total
Transfer StudentsCalc I Success Rate: Ethnic. by SI Partic.
NOT PARTICIPANT PARTICIPANT0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
0.65
0.79
0.10
0.86
0.38
0.72
0.58
0.82
ASIAN - Total
Black - Total
HISPANIC - Total
WHITE - Total
Transfer StudentsCalc I Grade: Gender by SI Partic.
NOT PARTICIPANT PARTICIPANTTotal
0
0.5
1
1.5
2
2.5
3
1.35
2.08
1.49
2.58
FEMALEMALE
Transfer StudentsCalc I Succ. Rate: Gender by SI Partic.
NOT PARTICIPANT PARTICIPANTTotal
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
0.38
0.75
0.50
0.82
FEMALEMALE
Summary• Si participation linked with higher passing rate
and course grade for all groups (ethnicity, gender, transfer status)
• No academic predictor differences between SI and non-SI students
• Most dramatic results observed for URM transfer students (based on limited sample)
• Exit survey shows 90 % + students overall feel SI was helpful or extremely helpful
Future Directions• SI Helps Level the Playing Field for Students by
Gender, Ethnicity, and Transfer Status• SI is Building an Academic Program for Future
Teachers (SI Leaders)• The Results Make a Strong Case for Institutional
Funding
Issues and Challenges• Efficiently Identifying Transfer Students Enrolled
in a STEM course• Effectively Recruiting Transfer Students in a
Timely Way• Consistently Funding and Staffing Strong SI
Programs in STEM
Thank [email protected]
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