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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
Direct linkEleonora Barelli; Michael Lodi; Laura Branchetti; Olivia Levrini – Science & Education, 2025
In a historical moment in which Artificial Intelligence and machine learning have become within everyone's reach, science education needs to find new ways to foster "AI literacy." Since the AI revolution is not only a matter of having introduced extremely performant tools but has been determining a radical change in how we conceive and…
Descriptors: Artificial Intelligence, Science Education, Cognitive Development, Cultural Influences
Qing Guo; Junwen Zhen; Fenglin Wu; Yanting He; Cuilan Qiao – Journal of Educational Computing Research, 2025
The rapid development of large language models (LLMs) presented opportunities for the transformation of science and STEM education. Research on LLMs was in the exploratory phase, characterized by discussions and observations rather than empirical investigations. This study presented a framework for incorporating LLMs into Science and Engineering…
Descriptors: STEM Education, Computational Linguistics, Teaching Methods, Educational Change
