Concepedia

Computing Education in the Era of Generative AI

Paul Denny, James Prather, Brett A. Becker, James Finnie-Ansley, Arto Hellas, Juho Leinonen, Andrew Luxton-Reilly, Brent N. Reeves, Eddie Antonio Santos, Sami Sarsa

Communications of the ACM · 2024 · 224 citations · 33 references

DOIFull text

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Abstract

Challenges and opportunities faced by computing educators and students adapting to LLMs capable of generating accurate source code from natural-language problem descriptions.

References

33

On the Opportunities and Risks of Foundation Models

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli et al. · arXiv (Cornell University) · 2021 · 2.2K citations · Full text

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Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models

Priyan Vaithilingam, Tianyi Zhang, Elena L. Glassman · CHI Conference on Human Factors in Computing Systems Extended Abstracts · 2022 · 550 citations

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Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models

Sami Sarsa, Paul Denny, Arto Hellas et al. · 2022 · 440 citations · Full text

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The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming

James Finnie-Ansley, Paul Denny, Brett A. Becker et al. · 2022 · 409 citations · Full text

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Asleep at the Keyboard? Assessing the Security of GitHub Copilot’s Code Contributions

Hammond Pearce, Baleegh Ahmad, Benjamin Tan et al. · 2022 IEEE Symposium on Security and Privacy (SP) · 2022 · 375 citations

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