ABSTRACT Research Experiences for Teachers (RET) programs are a burgeoning approach to engage teachers in STEM (science, technology, engineering, mathematics) research that they can translate into their K‐12 classrooms. Despite an increase in studies of RETs, there is a need for comparison of RET and non‐RET teachers' student outcomes. This mixed methods, quasi‐experimental comparison study, using a revised third‐generation activity theory framework, investigates how an RET program for preservice and early career STEM teachers impacted participating teachers and their students up to 8 years after RET participation. Specifically, we conducted a matched comparison of student achievement data from students of nine RET teachers versus many non‐RET comparison teachers within the same districts (n = 830–1132 students). We also investigated student and teacher perceptions of classroom practices through surveys (n = 576 students) and interviews (15 teacher interviews). Omnibus tests revealed no statistically significant differences by treatment in math or science achievement. However, students of the RET teachers reported stronger perceptions of STEM career awareness, greater value for learning STEM subjects, and a greater propensity to persist in STEM course tasks (three of the five constructs measured). This was consistent with teacher interview responses in which RET teachers spoke about STEM career awareness in a broader context for understanding the value of STEM in society, and also discussed struggles in research and attempts to bring this mindset to their students, which may have resulted in greater student engagement in their courses. Implications for teacher education and for supporting science and engineering practices in STEM classrooms are discussed along with recommendations for further research on the impacts of RET programs guided by a revised third‐generation activity theory framework informed by this work.
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Long-Term Outcomes of RET Programs on Female and Minority Student High School Graduation Rates and Undergraduate STEM Major Rates (Fundamental)
Research Experience for Teachers (RET) programs are National Science Foundation (NSF) funded programs designed to provide K- 12 Science, Technology, Engineering, and Mathematics (STEM) teachers with immersive, hands-on research experiences at Universities around the country. The NSF RET in nanotechnology encourages teachers to translate cutting-edge research into culturally relevant Project-Based Learning (PjBL) and engineering curriculum. Traditionally, the evaluation of RET programs focuses on the growth and development of teacher self-efficacy, engineering content knowledge gains, or classroom implementation of developed curriculum materials. However, reported methods for evaluating the impact of RETs on their female, minority student populations' high school graduation and undergraduate STEM major rates are limited. This study's objective was to compare RET high school student graduation rates and undergraduate STEM major rates across gender, race, and ethnicity to a comparison sample to determine the RET program's long-term impact on students' likelihood of pursuing STEM careers. The approach of collecting and analyzing the Texas Education Research Center Database (EdRC) data is a novel methodology for assessing RET programs' effectiveness on students. The EdRC is a repository of K-12 student data from the Texas Education Agency (TEA) and Higher Education data from the Texas Higher Education Coordinating Board (THECB). This joint database contains demographic, course registration, graduation, standardized testing, and college major, among others, for all students that attended a K-12 public school in Texas and any college in Texas, public or private. The RET program participants at Rice University (2010 – 2018) taught numerous students, a sample size of 11,240 students. A propensity score matching generated the student comparison group within the database. Students' school campus, gender, race/ethnic status, and English proficiency status were applied to produce a graduation comparison sample size of 11,240 students of Non-RET participants. Linking the TEA database to the THECB database resulted in college STEM participants and comparison sample sizes of 4,029 students. The project team conducted a logistic regression using RET status to predict high school graduation rates as a whole and by individual variables: gender, Asian American, Black, Caucasian, and Latinx students. All models were significant at p less than 0.05, with models in favor of students RET teachers. The project team conducted a logistic regression using RET status to predict student STEM undergraduate major rates as a whole and by individual variables: Gender, Asian American, Black, Caucasian, and Latinx students. African American and Caucasian models were significant at p less than 0.05; Gender, Asian American, and Latinx models were marginally significant (0.05 less than p greater than 0.1), where RET students had higher STEM major rates than matched controls. The findings demonstrate that RET programs have a long-term positive impact on the students' high school graduation rates and undergraduate STEM major rates. As teachers who participate in the RET programs are more likely to conduct courses using PjBL strategies and incorporate real-world engineering practices, female and minority students are more likely to benefit from these practices and seek careers utilizing these skills.
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- Award ID(s):
- 1711515
- PAR ID:
- 10295817
- Date Published:
- Journal Name:
- ASEE Annual Conference proceedings
- ISSN:
- 1524-4644
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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