Brent N. Reeves

Orcid: 0000-0001-5781-1136

According to our database1, Brent N. Reeves authored at least 19 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
"It's Weird That it Knows What I Want": Usability and Interactions with Copilot for Novice Programmers.
ACM Trans. Comput. Hum. Interact., February, 2024

Computing Education in the Era of Generative AI.
Commun. ACM, February, 2024

Prompts First, Finally.
CoRR, 2024

Interactions with Prompt Problems: A New Way to Teach Programming with Large Language Models.
CoRR, 2024

Solving Proof Block Problems Using Large Language Models.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Prompt Problems: A New Programming Exercise for the Generative AI Era.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

How Instructors Incorporate Generative AI into Teaching Computing.
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 2024

Self-Regulation, Self-Efficacy, and Fear of Failure Interactions with How Novices Use LLMs to Solve Programming Problems.
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers.
Proceedings of the 2024 ACM Conference on International Computing Education Research, 2024

"Backseat Gaming" A Study of Co-Regulated Learning within a Collegiate Male Esports Community.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023
Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators.
CoRR, 2023

First Steps Towards Predicting the Readability of Programming Error Messages.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Using Large Language Models to Enhance Programming Error Messages.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Evaluating the Performance of Code Generation Models for Solving Parsons Problems With Small Prompt Variations.
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

Transformed by Transformers: Navigating the AI Coding Revolution for Computing Education: An ITiCSE Working Group Conducted by Humans.
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2, 2023

The Robots Are Here: Navigating the Generative AI Revolution in Computing Education.
Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education, 2023

2022
Novice Reflections During the Transition to a New Programming Language.
Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Getting By With Help From My Friends: Group Study in Introductory Programming Understood as Socially Shared Regulation.
Proceedings of the ICER 2022: ACM Conference on International Computing Education Research, Lugano and Virtual Event, Switzerland, August 7, 2022

2007
Zing'Em: a Web-based Likert-scale Student-Team Peer Evaluation Tool.
Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, 2007


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