Supporting Future Scientists: Predicting Minority Student Participation in the STEM Opportunity Structure Tanya Figueroa, Bryce Hughes, and Dr. Sylvia.

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Presentation transcript:

Supporting Future Scientists: Predicting Minority Student Participation in the STEM Opportunity Structure Tanya Figueroa, Bryce Hughes, and Dr. Sylvia Hurtado, UCLA NARST, Rio Grande, PR, April

Introduction URM students face multiple barriers in STEM And even the best prepared students are often pushed out of STEM Research has identified a number experiences that facilitate success in the face of these barriers – the “opportunity structure” in STEM programs Is there differential access and participation in these activities? 2

Purpose Purpose: To identify predictors that affect the likelihood for STEM aspirants to participate in the STEM opportunity structure: ◦ Undergraduate research programs ◦ Supplemental instruction ◦ Major-related clubs or organizations ◦ Internship programs ◦ Faculty mentorship and support 3

Literature Research shows that the five co-curricular activities we investigate in this study benefit students as they: ◦ Socialize students into STEM ◦ Increase their confidence and skills ◦ Clarify educational and vocational goals ◦ Strengthen aspirations to enter a STEM career or graduate program ◦ Provide social support and professional development 4

Literature (cont) Activities also associated with numerous academic outcomes including: ◦ Opportunity to overcome challenges posed by poor high school preparation ◦ Increased academic performance ◦ Strengthened commitment to STEM ◦ Improved retention and persistence in STEM Participants more likely to get a STEM- related job after graduation. However, these opportunities often end up being reserved for “rising stars” 5

Methods Data source and sample: ◦ 2004 CIRP Freshman Survey ◦ 2008 CIRP College Senior Survey  6224 students at 238 institutions  Longitudinal response rate: 23% ◦ Institutional data from IPEDS ◦ Sample: STEM aspirants  4046 students at 212 institutions Analysis ◦ Hierarchical linear modeling (HLM) and hierarchical generalized linear modeling (HGLM) 6

Methods Variables ◦ Dependent variables:  Participation in internship programs  Participation in undergraduate research programs  Joined major-related clubs or organizations  Frequency of instruction that supplemented coursework  Faculty support and mentoring (construct) ◦ Independent variables:  Background and demographic characteristics  High school academic preparation  Aspirations at college entry  Experiences during college  College academic performance  College major  Institutional characteristics 7

Abbreviated Results Supp Inst Internships Undergrad research Clubs/ Orgs Faculty Mentorship SAT composite score (100) -+- Worked on independent study projects +++ Asked a professor for advice outside of class +++ Worked full-time while attending school --- Enrolled in honors or advanced courses +++ Participated in a program to prepare for graduate school +++ Participated in an academic program for racial/ethnic minorities +++ Presented research at a conference ++++ Faculty here are interested in students' academic problems +-++ Overall College GPA +++ Engineering Major ++- Professional Health Major --+ Selectivity (100-point increments) ++- 8

Results: Predictors of Participation Fiscal issues  ◦ Working full-time ◦ Lower SES backgrounds ◦ Greater concern about financing school Higher degree aspirations  9

Results (cont) Academic performance (mixed) ◦ Pre-college academic performance (SAT scores) did not consistently predict higher likelihood ◦ College academic performance (college GPA) did predict higher likelihood 10

Results (cont) No consistent differences by race/ethnicity ◦ Participating in academic programs geared toward racial/ethnic minorities improves likelihood Observed differences by major A handful of key college experiences ◦ Independent study projects ◦ Partaking in graduate school preparation programs ◦ Presenting research at a conference 11

Results (cont) Institutional contexts matter! ◦ Private vs. public ◦ Institutional selectivity May be a reflection of institutional culture and the level of resources that shape which opportunities are available to students 12

Concluding Remarks Advantages and benefits associated with participation accrue The need for early access The need for expanded support for academic programs targeted toward racial/ethnic minorities Institution’s responsibility 13

Questions? 14

Contact Information 15