Pedantic Computing

Episode

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  Effective Use of Large Language Models for Social Constructivism in Computer Science Education | Read & Reflect 19.07.2026 58mnt

  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. https://doi.org/10.1145/3803400.3809392As derivative work, this recording is compliant with the license for the paper listed above, which is CC-BY.
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  Chapter 8 | PhD Dissertation of Nicholas Gardella 21.04.2026 1j 11mnt

  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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  Chapter 7 | PhD Dissertation of Nicholas Gardella 21.04.2026 1j 4mnt

  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
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  Chapter 6 | PhD Dissertation of Nicholas Gardella 21.04.2026 1j 44mnt

  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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  Chapter 5 | PhD Dissertation of Nicholas Gardella 21.04.2026 1j 3mnt

  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
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  Chapter 4 | PhD Dissertation of Nicholas Gardella 21.04.2026 50mnt

  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
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  Chapter 3 | PhD Dissertation of Nicholas Gardella 21.04.2026 1j 40mnt

  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
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  Chapter 2 | PhD Dissertation of Nicholas Gardella 21.04.2026 30mnt

  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
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  Chapter 1 | PhD Dissertation of Nicholas Gardella 21.04.2026 1j 7mnt

  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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  How Code Runs: Interpreters, Runtimes, and Compilers 30.01.2025 1j

  Different types of programming languages are explained in terms of their tradeoffs between developer experience and performance/size.
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  What is “State” in Computing? 23.01.2025 56mnt

  State is explained at the level of computer hardware, in the context of operating system software, and in the context of programming.
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  The Web and JavaScript™ 22.01.2025 1j 10mnt