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1. Broadening Participation and Success in AP CSA: Predictive Modeling from Three Years of Data

   https://doi.org/10.1145/3408877.3432421  

   Boda, Phillip A. ; McGee, Steven ( March 2021 , ACM Tech. Sym. Comp. Sci. Ed. (SIGCSE’21))

   null (Ed.)

   The AP Computer Science A course and exam continually exhibit inequity among over- and under-represented populations. This paper explored three years of AP CS A data in the Chicago Public School district (CPS) from 2016-2019 (N = 561). We analyzed the impact of teacher and student-level variables to determine the extent AP CS A course taking and exam passing differences existed between over- and under-represented populations. Our analyses suggest four prominent findings: (1) CPS, in collaboration with their Research-Practice Partnership (Chicago Alliance for Equity in Computer Science; CAFÉCS), is broadening participation for students taking the AP CS A course; (2) Over- and under- represented students took the AP CS A exam at statistically comparable rates, suggesting differential encouragement to take or not take the AP CS A exam was not prevalent among these demographics; (3) After adjusting for teacher and student-level prior experience, there were no significant differences among over- and under-represented racial categorizations in their likelihoods to pass the AP CS A exam, albeit Female students were 3.3 times less likely to pass the exam than Males overall; (4) Taking the Exploring Computer Science course before AP CS A predicted students being 3.5 times more likely to pass the AP CS A exam than students that did not take ECS before AP CS A. Implications are discussed around secondary computer science course sequencing and lines of inquiry to encourage even greater broadening of participation in the AP CS A course and passing of the AP CS A exam. 

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2. Preparing Pre-Service Teacher Candidates for the Praxis Exam: An Innovative Model of Blended Support

   https://doi.org/10.1145/3328778.3372654  

   Odom-Bartel, Rebecca ; Fletcher, Carol ; Owen, John ; Gray, Jeff ; Zelkowski, Jeremy ( February 2020 , ACM Technical Symposium on Computer Science Education (SIGSCE))

   null (Ed.)

   The expansion of K-12 computer science (CS) has driven a dramatic need for educators who are trained in CS content and pedagogy [1]. This poster describes our effort to train teacher candidates (i.e., pre-service teachers who are students seeking degrees within a College of Education), who are specializing in secondary mathematics education, to be future CS educators. We specifically describe our collaboration to provide a blended preparatory six-week training for the ETS CS Praxis exam (5652), assisting our pre-service students in satisfying the CS certification requirements in our state before they graduate and begin their professional teaching career. Given the unique challenges of pre-service CS teacher preparation [2], blended models, which combine both in-person and online instruction, are an effective approach to building a pre-service program. Within our pre-service CS program, students first complete a two-course pathway that prepares them in AP CSP content and pedagogy experiences, including observations in local AP CSP classrooms [3]. After completing the two courses, our students participate in the blended version of the WeTeach_CS Praxis preparation course to achieve certification. The in-person support provided by the blended model contributed significantly to certification success in this project. With a cut-score of 149 for the Praxis exam, all 11 of our pre-service students who completed the course received a passing score (including one student with a perfect score of 200, and another student with a 195); the average score for our pre-service students was 175. An additional 11 in-service teachers, with diverse backgrounds in CS content knowledge, also participated in the blended Praxis preparation course, with an average score of 166. Given the unique challenges of pre-service CS teacher preparation, university pre-service CS teacher programs should look to innovative models of teacher support developed by in-service programs to make substantial gains in CS teacher certification. Incorporating an asynchronous online course that allows teachers with a wide range of prior experience in CS to learn at their own pace with in-person coursework and support appears to be a viable model for assisting non-CS major teacher candidates in achieving a CS certification. With the blended model, even teachers with no background knowledge in CS were successful. Within our pre-service CS program, students first complete a two-course pathway that prepares them in AP CSP content and pedagogy experiences, including observations in local AP CSP classrooms [3]. After completing the two courses, our students participate in the blended version of the WeTeach_CS Praxis preparation course to achieve certification. The in-person support provided by the blended model contributed significantly to certification success in this project. With a cut-score of 149 for the Praxis exam, all 11 of our pre-service students who completed the course received a passing score (including one student with a perfect score of 200, and another student with a 195); the average score for our pre-service students was 175. An additional 11 in-service teachers, with diverse backgrounds in CS content knowledge, also participated in the blended Praxis preparation course, with an average score of 166. Incorporating an asynchronous online course that allows teachers with a wide range of prior experience in CS to learn at their own pace with in-person coursework and support appears to be a viable model for assisting non-CS major teacher candidates in achieving a CS certification. With the blended model, even teachers with no background knowledge in CS were successful. 

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3. Long-Term Outcomes of RET Programs on Female and Minority Student High School Graduation Rates and Undergraduate STEM Major Rates (Fundamental)

   Nichol, C. ; Crawford, C. A. ; Barr, C. ; Cerda, I. ( January 2021 , ASEE Annual Conference proceedings)

   null (Ed.)

   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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4. Middle school teachers’ self-efficacy in teaching computer science and digital literacy: Impact of the CS Pathways RPP professional development program

   https://doi.org/DOI:10.13140/RG.2.2.31416.26887  

   Bausch, G. ; Ni, L. ; Martin, F. ; Hsu, H. ; Feliciano, B ( October 2021 , The intersection of RPPs and BPC in CS education: A culmination of papers from the RPPforCS Community)

   Background: Researcher-practitioner partnerships (RPPs) have gained increasing prominence within education, since they are crucial for identifying partners’ problems of practice and seeking solutions for improving district (or school) problems. The CS Pathways RPP project brought together researchers and practitioners, including middle school teachers and administrators from three urban school districts, to build teachers’ capacity to implement an inclusive computer science and digital literacy (CSDL) curriculum for all students in their middle schools. Objective: This study explored the teachers’ self-efficacy development in teaching a middle school CSDL curriculum under the project’s RPP framework. The ultimate goal was to gain insights into how the project’s RPP framework and its professional development (PD) program supported teachers’ self-efficacy development, in particular its challenges and success of the partnership. Method: Teacher participants attended the first-year PD program and were surveyed and/or interviewed about their self-efficacy in teaching CSDL curriculum, spanning topics ranging from digital literacy skills to app creation ability and curriculum implementation. Both survey and interview data were collected and analyzed using mixed methods 1) to examine the reach of the RPP PD program in terms of teachers’ self-efficacy; 2) to produce insightful understandings of the PD program impact on the project’s goal of building teachers’ self-efficacy. Results and Discussion: We reported the teachers’ self-efficacy profiles based on the survey data. A post-survey indicated that a majority of the teachers have high self-efficacy in teaching the CSDL curriculum addressed by the RPP PD program. Our analysis identified five critical benefits the project’s RPP PD program provided, namely collaborative efforts on resource and infrastructure building, content and pedagogical knowledge growth, collaboration and communication, and building teacher identity. All five features have shown direct impacts on teachers' self-efficacy. The study also reported teachers’ perceptions on the challenges they faced and potential areas for improvements. These findings indicate some important features of an effective PD program, informing the primary design of an RPP CS PD program. 

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5. Promoting Success of Undergraduate Engineering Students Through Curricular Improvements in First-year Mathematics Courses

   Olsen, D. ( July 2021 , ASEE Annual Conference and Exposition, Conference Proceedings)

   Norwich University, a private military college that serves both civilian and Corps of Cadets students, secured an NSF S-STEM award to develop a program to attract and retain highly talented, low-income students. Norwich recognizes that students who enter college with less experience in mathematics are less likely to graduate with a degree in a STEM discipline. With that in mind, the project aims to measure the benefits of a corequisite implementation of precalculus and calculus to help students complete the required calculus sequence by the end of their first year. In the first year of the study, 34 engineering students among 72 total STEM students that placed into precalculus by an institutional math placement exam were randomly allocated into either precalculus or a pilot corequisite calculus course with precalculus review. The content, delivery, and outcomes of the first semester offering of the corequisite implementation of precalculus and calculus will be discussed. The short-term success of the corequisite course using survey results, DFW rates, and retention in the engineering major will be examined. 

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