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James Prather

As seen in: arXiv, Communications of the ACM
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Articles by James Prather

[2407.09231] Prompts First, Finally

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By James Prather, Paul Denny, Juho Leinonen, Stephen MacNeil
| arXiv
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Computing Education in the Era of Generative AI

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By Paul Denny, James Prather, Brett Becker, James Finnie-Ansley
| Communications of the ACM Verified
A new era is emerging in which artificial intelligence (AI) will play an ever-increasing role in many facets of daily life. One defining characteristic of this new era is the ease with which novel content can be generated. Large language models (LLMs)—neural network-based models trained on vast quantities of text data4—are capable of creating a variety of convincing human-like outputs, including prose, poetry, and source code.
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Explaining Code with a Purpose: An Integrated Approach for Developing Code Comprehension and Prompting Skills

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By Smith IV, Max Fowler, James Prather, Brett Becker
| arXiv
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Computing Education in the Era of Generative AI

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By Paul Denny, Brett Becker, James Prather, James Finnie-Ansley
| Communications of the ACM Verified
1. Barke, S., James, M.B., and Polikarpova, N. Grounded Copilot: How programmers interact with code-generating models. In Proceedings of the ACM on Programming Languages 7, 78 (2022), 85–111. 2. Becker, B.A. et al. Programming is hard – Or at least it used to be: Educational opportunities and challenges of AI code generation. In Proceedings of the 54th SIGCSE Technical Symp. on Computer Science Education 1, Association for Computing Machinery (2023), 500–506. 3. Biderman, S. and Raff, E.
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