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Cheri Fancsali; June Mark; Janice Lee – Research Alliance for New York City Schools, 2025
This brief examines the New York City Public Schools' (NYCPS) Computer Science for All (CS4All) initiative's efforts to build teacher capacity and support the implementation of computer science (CS) education across K-12 classrooms. The initiative, launched in 2015, aimed to deliver high-quality CS education to all students by providing robust…
Descriptors: Computer Science Education, Urban Schools, Public Schools, Elementary Secondary Education
Kathryn Hill; Michelle Flores; Rishika Jain; Edgar Rivera-Cash – Research Alliance for New York City Schools, 2025
This report focuses on the NYC Computer Science for All (CS4All) initiative's efforts to build schools' capacity to expand access to CS across the district. Launched in 2015, CS4All aimed to provide a meaningful CS experience to every student at least once within each grade band (K-2, 3-5, 6-8, 9-12). As the initiative matured, it also began to…
Descriptors: Computer Science Education, Urban Schools, Public Schools, Elementary Secondary Education
Hongliang Ma; Yuhan Dong; Bin Jing; Yu Zeng; Jinmei Sun – International Journal of STEM Education, 2025
Background: With the growing emphasis on computer science (CS) education in K-12 schools, numerous professional development (PD) programs for in-service CS teachers (CS-PD) have been implemented over the past decades. However, there is a lack of systematic review and meta-analysis to evaluate the effectiveness of these CS-PD programs. To address…
Descriptors: Inservice Teacher Education, Faculty Development, Elementary Secondary Education, Computer Science Education
Da Teng; Xiangyang Wang; Yanwei Xia; Yue Zhang; Lulu Tang; Qi Chen; Ruobing Zhang; Sujin Xie; Weiyong Yu – Education and Information Technologies, 2025
The swift advancement of artificial intelligence, especially large language models (LLMs), has generated novel prospects for improving educational methodologies. Nonetheless, the successful incorporation of these technologies into pedagogical methods, such as flipped classrooms, continues to pose a challenge. This study investigates the…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Flipped Classroom, Technology Uses in Education
Erin Henrick; Danny Schmidt; Steven McGee; Andrew M. Rasmussen; Lucia Dettori; Ronald I. Greenberg; Dale Reed; Don Yanek – Peabody Journal of Education, 2024
This study analyzes the impact of the Chicago Alliance for Equity in Computer Science (CAFÉCS) Research Practice Partnership (RPP) on the Chicago Public School (CPS) Office of Computer Science (OCS). Using a qualitative analysis drawing on data from leadership team meetings, published articles and presentations, and evaluation reports from 11…
Descriptors: Computer Science Education, Partnerships in Education, High School Students, Public Schools
Nesen, Yuri; Fowler, Brian; Vegas, Emiliana – Center for Universal Education at The Brookings Institution, 2021
Computer science (CS) education helps students acquire skills such as computational thinking, problem-solving, and collaboration. Since these skills take preeminence in the rapidly changing 21st century, CS education promises to significantly enhance student preparedness for the future of work and active citizenship. Based on prior analyses and…
Descriptors: Program Implementation, Computer Science Education, Foreign Countries, Curriculum Development
Hoffman, Daniel L.; Leong, Peter; Ka'aloa, Rochelle Pi'ilani H.; Paek, Seungoh – TechTrends: Linking Research and Practice to Improve Learning, 2022
Culturally-relevant computing has been discussed as a way to promote K-12 Computer Science education and address ongoing challenges related to diversity, equity, and inclusion. What is not well understood about the practice of culturally-relevant computing, however, is how to bring together existing cultural frameworks and Computer Science…
Descriptors: Culturally Relevant Education, Computer Science Education, Teacher Attitudes, Educational Principles
Kiliç, Servet; Çakiroglu, Ünal – Technology, Knowledge and Learning, 2023
Since teaching robotics in schools is still new for teachers, studies on how to integrate computational thinking concepts in robotics courses are still rare. In this direction, teacher training sessions for teaching robotics should be visited. Accordingly, in this exploratory case study, a professional development program for teachers was…
Descriptors: Program Development, Program Implementation, Program Evaluation, Faculty Development
Shaykhah Saeed M. Raffaa; Munassir Alhamami; Nor Liza Bt. Haji Ali – IEEE Transactions on Education, 2024
Contribution: This study advances the understanding of English as a medium of instruction (EMI) in computer science education by exploring computer instructors' perspectives. Its unique contribution lies in a qualitative approach that uncovers the practical implications for policy and practice in the educational context. Background: The rationale…
Descriptors: Language of Instruction, English, Computer Science Education, Teacher Attitudes
Amelia Auchstetter; Eben Witherspoon; Oluchi Ozuzu; Jonathan Margolin; Lawrence B. Friedman – American Institutes for Research, 2023
The purpose of this study was to evaluate the implementation and impact of the Pack program. The Pack was developed by the New York Hall of Science (NYSCI) and includes a digital game and set of curricular and professional development resources that aim to support computational thinking teaching and learning in middle school science and computer…
Descriptors: Computation, Thinking Skills, Educational Games, Program Implementation

Jacqueline DeLisi; Jessica Brown; Lukas Winfield; Makoto Hanita; Anne Wang – Grantee Submission, 2025
In 2019, the Rhode Island Department of Education (RIDE), in partnership with the University of Rhode Island (URI), launched the Work-Based Learning for Computer Science (WBL4CS) project through an Education Innovation Research (EIR) grant. The initiative aimed to expand access to computer science (CS) education for high school students,…
Descriptors: Work Based Learning, Computer Science Education, High School Students, Career Pathways
Cheri Fancsali; June Mark; Kathryn Hill, Contributor; Xia Li, Contributor; Janice Lee, Contributor; Rishika Jain, Contributor; Michelle Flores, Contributor – Research Alliance for New York City Schools, 2024
New York City's Computer Science for All (CS4All) initiative, launched in 2015, aimed to provide all students across the system with at least one CS experience at each grade band (K-2, 3-5, 6-8, and 9-12). The initiative placed particular emphasis on broadening participation among girls, and Black and Latinx students, who are underrepresented in…
Descriptors: Computer Science Education, Urban Schools, Public Schools, Elementary Secondary Education
Yin-Chan Liao; Michael Karlin; Lauren Margulieux; Brendan Calandra – Journal of Technology and Teacher Education, 2025
This study explored the dynamics and key factors influencing the development of computer science education (CSEd) pathways in teacher preparation at 10 higher education institutions in the United States. Through cross-case analysis, the findings highlighted that personal commitment and leadership from CSEd champions played a key role in initiating…
Descriptors: Computer Science Education, Equal Education, Capacity Building, Kindergarten
Fowler, Brian; Vegas, Emiliana – Center for Universal Education at The Brookings Institution, 2021
Computer science (CS) education helps students acquire skills such as computational thinking, problem-solving, and collaboration. Since these skills take preeminence in the rapidly changing 21st century, CS education promises to significantly enhance student preparedness for the future of work and active citizenship. CS education can also reduce…
Descriptors: Foreign Countries, Computer Science Education, National Curriculum, Elementary Secondary Education
Evan E. Maicus – ProQuest LLC, 2021
As Computer Science course enrollments have increased over recent years, instructors have turned to automated grading systems to help relieve the burden of processing student assignments. However, the available autograding solutions have generally lacked support for traditionally difficult-to-grade advanced topics courses. In this thesis, I…
Descriptors: Computer Assisted Testing, Automation, Grading, Advanced Courses