Programming Is Hard -- Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation
| Autor: | Brett A. Becker, Paul Denny, James Finnie-Ansley, Andrew Luxton-Reilly, James Prather, Eddie Antonio Santos |
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| Rok vydání: | 2022 |
| Předmět: |
I.2
FOS: Computer and information sciences Computer Science - Machine Learning Computer Science - Artificial Intelligence Computer Science - Human-Computer Interaction K.3.2 Human-Computer Interaction (cs.HC) Machine Learning (cs.LG) H.5.2 Software Engineering (cs.SE) Computer Science - Computers and Society Computer Science - Software Engineering Artificial Intelligence (cs.AI) Computers and Society (cs.CY) |
| DOI: | 10.48550/arxiv.2212.01020 |
| Popis: | The introductory programming sequence has been the focus of much research in computing education. The recent advent of several viable and freely-available AI-driven code generation tools present several immediate opportunities and challenges in this domain. In this position paper we argue that the community needs to act quickly in deciding what possible opportunities can and should be leveraged and how, while also working on how to overcome or otherwise mitigate the possible challenges. Assuming that the effectiveness and proliferation of these tools will continue to progress rapidly, without quick, deliberate, and concerted efforts, educators will lose advantage in helping shape what opportunities come to be, and what challenges will endure. With this paper we aim to seed this discussion within the computing education community. Comment: 7 pages |
| Databáze: | OpenAIRE |
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