Pedantic Computing

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Over-explaining computer science and information technology

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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. https://doi.org/10.1145/3803400.3809392 As 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

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

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

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

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

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

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

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

Responsible and Equitable Use of AI Code Generators in Computer Science Education, the PhD Dissertation of Nicholas Gardella | Font Matter and Chapter 1, Introduction
30/01/2025

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.
23/01/2025

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.
22/01/2025

The Web and JavaScript™

Pedantic Computing

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Over-explaining computer science and information technology

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niqwis
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2026
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12
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Pedantic Computing