À PROPOS DE CET ÉPISODE
Responsible and Equitable Use of AI Code Generators in Computer Science Education, the PhD Dissertation of Nicholas Gardella | Chapter 6, Beyond Efficiency: A Critical Political Economy Perspective on AI Code Generators in Computing Education
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RECHERCHER LES ÉPISODES PASSÉS
Rechercher les épisodes précédents de Pedantic Computing.
AUTRES ÉPISODES DANS CE PODCAST
This Read & Reflect focuses on the following open access paper:
Nickolas Falkner, Leo Leppänen, and Juho Leinonen. 2026. Effective Use of Large Language Models for Social Constructivism in Computer Science Education. In Proceedings of the 31st ACM Conference on Innovation and Technology in Com…
Responsible and Equitable Use of AI Code Generators in Computer Science Education, the PhD Dissertation of Nicholas Gardella | Chapter 7, Fast and Forgettable: A Controlled Study of Novices’ Performance, Learning, Workload, and Emotion in AI-Assisted and Human Pair Programming Paradigms
Responsible and Equitable Use of AI Code Generators in Computer Science Education, the PhD Dissertation of Nicholas Gardella | Chapter 5, HBCU Student Perspectives on Identity, Persistence, and Code-Generating AI in CS Education: A Case Study
Responsible and Equitable Use of AI Code Generators in Computer Science Education, the PhD Dissertation of Nicholas Gardella | Chapter 8, Conclusion
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