Presentation Transcript
Impact of Supplemental Instruction on Students in STEM Courses : Impact of Supplemental Instruction on Students in STEM Courses Alan Peterfreund, Kenneth Rath
Peterfreund Associates
Presented – April 18, 2006
University of Massachusetts Amherst
STEM Education Institute Special thanks to:
Samuel Xenos, Peterfreund Associates ---- Frank Bayliss & Michael Garrity, SFSU
Funded by: NIH MORE R.E.S.U.L.T.S. (Research and Evaluation of Students Using Long-Term Studies); NIH Grant #RFA-GM-03-011; Simeon Slovacek P.I., Alan Peterfreund, Co-P.I.
Supplemental Instruction Courses: Supplemental Instruction Courses Support difficult courses, not high-risk students
Peer facilitators
Supplemental material/problems
Embedded study and learning skills
Cooperative learning
Voluntary attendance
Findings from Literature: Findings from Literature Increases in course grades
Decreases in D/F failures
Higher retention rates – money savings
Lower SAT/ACT than non-takers
Benefit both genders, all races/ethnicities
San Francisco State University: San Francisco State University Urban campus
Most students commute
~23,000 Undergraduates, ~6,000 Graduates
33% White, 25% Asian, 40% Various URM
No doctoral programs (only master’s)
Majority have outside jobs
Average over 5 years for graduation
Supplemental Instruction at SFSU: Supplemental Instruction at SFSU Began in 1999
22 different courses in 4 departments
500-600 students/year in recent years
Up to 40% of some classes in SI
SI courses in catalog
Funded through NIH MORE grant; no institutional support
Impact of Supplemental Instruction at SFSU: Impact of Supplemental Instruction at SFSU Higher course performance (passing and progressing)
Takers tend to come to SFSU with weaker academic indicators
Higher rates of taking subsequent courses in the discipline.
Women take more but men, when they show up, benefit more
Performance levels for URM students taking SI reach and often surpass non-SI takers
URM students participate in SI more than students from other racial/ethnic groups
Data Description: Data Description Data collected from institutional records:
Grades, semesters, & SI status for all STEM classes Fall 1992-Spring 2005
Demographics: SAT, high school GPA, race/ethnicity, gender, major
Limitations of data analysis:
Excluded if did not receive grade in SI or supported course
Examined only last grade in class
Course Descriptions: Course Descriptions
Intro to Biology I: Intro to Biology I
Intro Biology – Course Grades: Intro Biology – Course Grades SI C- or better – 85%
Non C- or better – 73%
Intro Biology– Student Background: Intro Biology– Student Background
Intro Biology SAT Dist.: Intro Biology SAT Dist. SAT Verbal SAT Math
Intro Biology– Taking of Subsequent Classes: Intro Biology– Taking of Subsequent Classes ** ** **
Intro Biology– Gender Differences: Intro Biology– Gender Differences Males Females SI – 71% Females; Non – 65% Females
Intro Biology– Underrepresented Minorities: Intro Biology– Underrepresented Minorities Proportion receiving C- or better Mean grade in the class ** ** ** **
GraduationIntro Bio SI Status: Minorities and All Studentsbased on students enrolled Fall 99 – Spring 01: Graduation Intro Bio SI Status: Minorities and All Students based on students enrolled Fall 99 – Spring 01
Minority GPA Changes by SI StatusGPA at time of taking Intro Bio and at graduation: Minority GPA Changes by SI Status GPA at time of taking Intro Bio and at graduation
Genetics: Genetics
Genetics – Course Grades: Genetics – Course Grades SI C- or better – 96%
Non C- or better – 91%
Genetics – Student Background: Genetics – Student Background
Genetics – Gender Differences: Genetics – Gender Differences Males Females SI – 69% Females; Non – 65% Females
Genetics – Underrepresented Minorities: Genetics – Underrepresented Minorities Proportion receiving C- or better Mean grade in the class * **
Gen. Chem I: Concepts: Gen. Chem I: Concepts
Chem 1 – Course Grades: Chem 1 – Course Grades SI C- or better – 92%
Non C- or better – 85%
Chem 1 – Student Background: Chem 1 – Student Background
Chem 1 – Taking of Subsequent Classes: Chem 1 – Taking of Subsequent Classes ** *
Chem 1 – Gender Differences: Chem 1 – Gender Differences Males Females SI – 72% Females; Non – 54% Females
Chem 1 – Underrepresented Minorities: Chem 1 – Underrepresented Minorities Proportion receiving C- or better Mean grade in the class ** ** *
Organic Chem I: Organic Chem I
O. Chem 1 – Course Grades: O. Chem 1 – Course Grades SI C- or better – 91%
Non C- or better – 84%
O. Chem 1– Student Background: O. Chem 1– Student Background
O. Chem 1– Gender Differences: O. Chem 1– Gender Differences Males Females SI – 68% Females; Non – 65% Females
O. Chem 1– Underrepresented Minorities: O. Chem 1– Underrepresented Minorities Proportion receiving C- or better Mean grade in the class ** *
Gen. Physics I: Gen. Physics I
Physics 1 – Course Grades: Physics 1 – Course Grades SI C- or better – 95%
Non C- or better – 86%
Physics 1– Student Background: Physics 1– Student Background
Physics 1– Gender Differences: Physics 1– Gender Differences Males Females SI – 75% Females; Non – 62% Females
Physics 1– Underrepresented Minorities: Physics 1– Underrepresented Minorities Proportion receiving C- or better Mean grade in the class ** * *
Calculus I: Calculus I
Calculus I– Course Grades: Calculus I– Course Grades SI C- or better – 87%
Non C- or better – 81%
Calculus I – Student Background: Calculus I – Student Background
Calculus I – Gender Differences: Calculus I – Gender Differences Males Females SI – 75% Females; Non – 62% Females
Calculus I – Underrepresented Minorities: Calculus I – Underrepresented Minorities Proportion receiving C- or better Mean grade in the class *
Cost Modeling: Cost Modeling ~$115 per student
Prevents at least 170 students from D/F failing out over 5 years
Assumes failure rates equal to non-SI
Lower SAT would predict more
Suggestion that retention rate changes higher than this
Savings in lost tuition, recruitment
Ongoing Research: Ongoing Research Graduation rates and GPA changes
Examination by student survey ratings
Examination by specific situations – SI instructor survey
Replication at New Mexico State University
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