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Direct linkAidan 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
Ying-Chieh Liu; Hung-Yi Chen – IEEE Transactions on Education, 2025
Contribution: Expand the scope of factors influencing self-efficacy and highlight the importance of teaching quality, peer support, perceived course value, the moderating effects of self-regulation, and adversity quotient (AQ). Background: Self-efficacy has been regarded as an important factor in students' learning performance. However, little…
Descriptors: Foreign Countries, College Students, College Faculty, Programming
Derek Thurber; Amy Markos; Lydia Ross; Quincy Conley; Jill Wendt – Innovative Higher Education, 2025
This study aimed to improve the implementation of a redesign of teacher preparation programs at a large public university in the United States. This complex redesign impacted over 150 courses across 27 programs, involving over 200 faculty and 2,500 students annually. Implementing the redesign posed significant challenges for supporting fidelity…
Descriptors: Preservice Teacher Education, Preservice Teachers, Teacher Education Curriculum, Curriculum Development
