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Hui-Zhi Hu; Li-Guo Zhang; Jia-Hua Zhang; Di Zhang; Jia-Rui Xie – Education and Information Technologies, 2025
Computer Science (CS) is a vital subject in K-12 education, and acquiring proficiency in CS is essential for nurturing talent. However, current teaching practices often rely on standardized tests to evaluate academic performance, which may not offer a comprehensive and multidimensional assessment of students' competency in learning CS.…
Descriptors: Evaluation Methods, Student Evaluation, Competence, Computer Literacy
Emin Ozen; Nil Goksel – Turkish Online Journal of Distance Education, 2025
In the first quarter of the 21st century, the interest and demand for online education continue to grow. The fact that online education is accessible without time and space constraints, enables lifelong learning, and is used in international emergencies such as COVID-19 are considered among the most critical factors in its increasing popularity…
Descriptors: High School Students, Learning Readiness, Electronic Learning, Computer Literacy
Peer reviewedJessica Brown; Jacqueline DeLisi; Lukas Winfield; Makoto Hanita; Anne Wang – Grantee Submission, 2025
The EIR-funded Work-Based Learning for Computer Science (WBL4CS) grant implemented a three-course, two-year Computer Science (CS) pathway in 20 Rhode Island High Schools. Evaluators from Education Development Center (EDC) employed a cluster randomized controlled trial to study the impact of integrating a Work-Based Learning course into the first…
Descriptors: Work Based Learning, Computer Science Education, High School Students, Career Pathways
Gabrielle Rabinowitz; Katherine S. Moore; Safinah Ali; Mark Weckel; Irene Lee; Preeti Gupta; Rachel Chaffee – International Journal of STEM Education, 2025
This study evaluates the effectiveness of a machine learning (ML) integrated science curriculum implemented within the Science Research Mentorship Program (SRMP) for high school youth at the American Museum of Natural History (AMNH) over 2 years. The 4-week curriculum focused on ML knowledge gain, skill development, and self-efficacy, particularly…
Descriptors: High School Students, Museums, Science Teaching Centers, Artificial Intelligence
Jean J. Ryoo; Michelle Choi; Wei Wei; Jacqualyn Blizzard-Caron; Ryan Clarke; Lillian Kohn; Daniel Voloch – Journal of Research on Technology in Education, 2025
This paper explores how minoritized Computer Science (CS) students articulate their sense of critical agency to positively impact the world around them, both for today and the future, when participating in a Girls Who Code program focused on ethics, equity, and underrepresentation in computing. Observations, interviews, and surveys were conducted…
Descriptors: Computer Science Education, Middle School Students, High School Students, Clubs
Peer reviewedJacqueline 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

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