Pedantic Computing
A podcast that takes a deep dive into computer science and information technology topics, offering thorough and sometimes overly detailed explanations. The host breaks down complex concepts in a meticulous manner, aiming to leave no stone unturned. Ideal for listeners who enjoy a pedantic approach to technical subjects.
Episodes
"Why Put in This Much Effort?": How AI Availability Shapes Students' Motivation in Introductory Programming | Read & Reflect
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 Education Research Vol. 1 (ICER '26). Association for Computing Machinery, New York, NY, USA, 189–201. h
Effective Use of Large Language Models for Social Constructivism in Computer Science Education | Read & Reflect
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 Computer Science Education V. 1 (ITiCSE 2026). Association for Computing Machinery, New York, NY, USA, 210–216
Chapter 8 | PhD Dissertation of Nicholas Gardella
Responsible and Equitable Use of AI Code Generators in Computer Science Education, the PhD Dissertation of Nicholas Gardella | Chapter 8, Conclusion
Chapter 7 | PhD Dissertation of Nicholas Gardella
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
Chapter 6 | PhD Dissertation of Nicholas Gardella
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
Chapter 5 | PhD Dissertation of Nicholas Gardella
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
Chapter 4 | PhD Dissertation of Nicholas Gardella
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
Chapter 3 | PhD Dissertation of Nicholas Gardella
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
Chapter 2 | PhD Dissertation of Nicholas Gardella
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
Chapter 1 | PhD Dissertation of Nicholas Gardella
Responsible and Equitable Use of AI Code Generators in Computer Science Education, the PhD Dissertation of Nicholas Gardella | Font Matter and Chapter 1, Introduction
How Code Runs: Interpreters, Runtimes, and Compilers
Different types of programming languages are explained in terms of their tradeoffs between developer experience and performance/size.
What is “State” in Computing?
State is explained at the level of computer hardware, in the context of operating system software, and in the context of programming.
The Web and JavaScript™
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