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researcher

James Prather

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.HC2
  • cs.CY1
ORCID 0000-0003-2807-6042

identity via Semantic Scholar / OpenAlex

most citedPromptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators

15 citations · 28 across the 3 of their papers we have counts for

collaborators

3 papers

cs.HC2023★ 3 cited

Prompt Problems: A New Programming Exercise for the Generative AI Era

Paul Denny, Juho Leinonen, James Prather +4

Large Language Models (LLMs) are revolutionizing the field of computing education with their powerful code-generating capabilities. Traditional pedagogical practices have focused o…

cs.HC2023★ 15 cited

Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators

Paul Denny, Juho Leinonen, James Prather +4

With their remarkable ability to generate code, large language models (LLMs) are a transformative technology for computing education practice. They have created an urgent need for…

cs.CY2023★ 10 cited

Computing Education in the Era of Generative AI

Paul Denny, James Prather, Brett A. Becker +7

The computing education community has a rich history of pedagogical innovation designed to support students in introductory courses, and to support teachers in facilitating student…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.