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Impact of GK12 Program on EPISD students. Friday, April 4 2008 UTEP K-16 Education Research Conference Blumberg Auditorium, University Library Kate Miller Mary Beth Harper (EPISD) Eric A. Hagedorn. What’s GK12?. NSF Graduate Teaching Fellows in K-12 education
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Impact of GK12 Program on EPISD students Friday, April 4 2008 UTEP K-16 Education Research Conference Blumberg Auditorium, University Library Kate Miller Mary Beth Harper (EPISD) Eric A. Hagedorn
What’s GK12? • NSF Graduate Teaching Fellows in K-12 education • $30k per year fellowship (and up to $7k for ed fees) for graduate students in STEM disciplines
At UTEP this involves: • 10 fellows pairing with 10 middle school science teachers at 5 EPISD schools • 2 Week Summer Institute prior to academic year • 5 days at Indio Ranch Research Station • Pedagogical training: inquiry science & classroom mgt. • 10 hours per week in classroom, 5 hrs prep • 1 credit weekly grad seminar • Several team meetings throughout the academic year
Research Questions • Are GK12 impacted students performing better on district-wide science tests than a comparable control group of non-GK12 impacted students? • Are GK12 impacted students showing more awareness and interest of STEM careers than a comparable control group of non-GK12 impacted students?
Research Design • Quasi-experimental • Treatment and control groups • No random assignment • Control group schools matched as closely as possible (on SES & ethnicity) • Longitudinal over 3 years • 2 key measures: • 9 week science benchmark exams • Open-ended career interests
Participants • Roughly 1800 middle school pupils in 10 EPISD middle schools. • In 2006-2007 – 6th graders • In 2007-2008 – 7th graders • In 2008-2009 – 8th graders
Career Interest • GK12 impacted students • Pre: N = 731 respondents • Post: N = 866 respondents • Control • End of year: N = 689 respondents
First Categorization • 1st, 2nd, and 3rd responses combined. • Led to about 100 categories. • Consider largest categories consisting of 75% of the total responses.
Contingency Tables with Chi-Squares: Comparing GK12 pupils: Pre/Post Scientists vs. All others Engineers vs. All others Chi-square = 7.73, p=.005 Chi-square = 0.220, p=.639
Contingency Tables with Chi-Squares: Comparing GK12 pupils w. Control Scientists vs. All others Engineers vs. All others Chi-square = .36E-6, p=1 Chi-square = 5.61, p=.018
Second Categorization:STEM/Non-STEM • STEM – all natural/physical sciences + science & math teachers + engineers. • Did not include medical & skilled trades • Non-STEM – everything not STEM as defined above (thus, included medical and skilled trades).
Contingency Tables with Chi-Squares: STEM vs non-STEM GK12 vs Control GK12: Pre vs. Post Chi-square = 5.41, p=.020 Chi-square = 4.15, p=.042
Contingency Tables with Chi-Squares: Pre-GK12 vs. Control for STEM/non-STEM GK12 Pre vs. Control Chi-square = 0.025, p=.873
Findings Supported by Empirical Evidence • The program seems to be having a positive impact on pupil learning as measured by the benchmarks. • The program seems to be having a positive impact on pupil STEM career interest.
Findings Supported by Thoughtful Reflection & Discussions with other GK12 programs • Including an EPISD administrator (at the appropriate level) as a co-PI has been vital. • Working with 1 district with 1 curriculum has obvious benefits for evaluation. • Pairing process (involving abandonment in the desert with ice cold beverages) seems effective.
Future Research • Compare treatment vs. control results on 8th grade science TAKS • Multilevel model to compare test results • Student level • Class level • School level