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Aidan Doyle; Pragnya Sridhar; Arav Agarwal; Jaromir Savelka; Majd Sakr – Journal of Computer Assisted Learning, 2025
Background: In computing education, educators are constantly faced with the challenge of developing new curricula, including learning objectives (LOs), while ensuring that existing courses remain relevant. Large language models (LLMs) were shown to successfully generate a wide spectrum of natural language artefacts in computing education.…
Descriptors: Computer Science Education, Artificial Intelligence, Learning Objectives, Curriculum Development
Ayaan M. Kazerouni; Melissa Lee; Aleata Hubbard Cheuoua; Aakash Gautam; Sahar Hooshmand; Paul Salvador Inventado; Eun-Young Kang; Jane Lehr; Yu Sun; Kevin A. Wortman; Ilmi Yoon; Zoë Wood – ACM Transactions on Computing Education, 2025
Background and Context. Computing is considered a fundamental skill for civic engagement, self-expression, and employment opportunity. Despite this, there exist significant equity gaps in post-secondary computing enrollment and retention. Specifically, in the California State University (CSU) system, which serves close to half a million…
Descriptors: Computer Science Education, Social Responsibility, Introductory Courses, Undergraduate Students

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