Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models-Reference-Cited by-同舟云学术

Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models

Published:2024-01-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th Australasian Computing Education Conference
language:
Short-container-title:

Author:

Macneil Stephen¹^ORCID,Denny Paul²^ORCID,Tran Andrew¹^ORCID,Leinonen Juho²^ORCID,Bernstein Seth¹^ORCID,Hellas Arto³^ORCID,Sarsa Sami³^ORCID,Kim Joanne¹^ORCID

Affiliation:

1. Temple University, United States

2. The University of Auckland, New Zealand

3. Aalto University, Finland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3636243.3636245

Reference63 articles.

1. An Empirical Study of Debugging Patterns Among Novices Programmers

2. 37 Million Compilations

3. Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush S Bhatia, Ines Chami, Frederic Sala, and Christopher R’e. 2022. Ask Me Anything: A simple strategy for prompting language models. ArXiv abs/2210.02441 (2022).

4. Wheel-Spinning: Students Who Fail to Master a Skill

5. Compiler Error Messages Considered Unhelpful

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Debugging with an AI Tutor: Investigating Novice Help-seeking Behaviors and Perceived Learning;Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 1;2024-08-12

2. Combining LLM-Generated and Test-Based Feedback in a MOOC for Programming;Proceedings of the Eleventh ACM Conference on Learning @ Scale;2024-07-09

3. Automating Personalized Parsons Problems with Customized Contexts and Concepts;Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1;2024-07-03

4. First Year CS Students Exploring And Identifying Biases and Social Injustices in Text-to-Image Generative AI;Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1;2024-07-03

5. Desirable Characteristics for AI Teaching Assistants in Programming Education;Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1;2024-07-03