OM DENNE PODCAST 🔗
Over-explaining computer science and information technology
Opdateringsfrekvens:
every 18 days
Gennemsnitlig lydlængde:
70 minutes
Engelsk
USA
13 episoder
siden 22. januar 2025
episodic
SENESTE EPISODE 🔗
This Read & Reflect focuses on the following open access paper:
Keith Tran, Colton Harper, and Thomas Price. 2026. "Why Put in This Much Effort?": How AI Availability Shapes Students' Motivation in Introductory Programming. In Proceedings of the 2026 ACM Conference on International Computing Ed…
SØG BLANDT TIDLIGERE EPISODER
Søg efter gamle afsnit af Pedantic Computing.
SIDSTE EPISODER 🔗
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 8, Conclusion
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 6, Beyond Efficiency: A Critical Political Economy Perspective on AI Code Generators in Computing Education
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 4, Relationships Between Trust, Compliance, and Performance for Novice Programmers Using AI Code Generation
Responsible and Equitable Use of AI Code Generators in Computer Science Education, the PhD Dissertation of Nicholas Gardella | Chapter 3, Novice Interactions with GitHub Copilot Under Time Pressure: A Deductive Qualitative Interview Study
Responsible and Equitable Use of AI Code Generators in Computer Science Education, the PhD Dissertation of Nicholas Gardella | Chapter 2, Performance, Workload, Emotion, and Self-Efficacy of Novice Programmers Using AI Code Generation
Responsible and Equitable Use of AI Code Generators in Computer Science Education, the PhD Dissertation of Nicholas Gardella | Font Matter and Chapter 1, Introduction
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