Feedback-Generation for Programming Exercises With GPT-4-Reference-Cited by-同舟云学术

Feedback-Generation for Programming Exercises With GPT-4

Published:2024-07-03 Issue: Volume: Page:31-37
ISSN:
Container-title:Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1
language:
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Author:

Azaiz Imen¹^ORCID,Kiesler Natalie²^ORCID,Strickroth Sven¹^ORCID

Affiliation:

1. LMU Munich, Munich, Germany

2. Nuremberg Tech, Nuremberg, Germany

Funder

German Federal Ministry of Education and Research (BMBF)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3649217.3653594

Reference43 articles.

1. AI-Enhanced Auto-Correction of Programming Exercises: How Effective is GPT-3.5?

2. Brett A Becker Michelle Craig Paul Denny Hieke Keuning Natalie Kiesler Juho Leinonen Andrew Luxton-Reilly James Prather and Keith Quille. 2023. Generative AI in Introductory Programming. (2023). https://csed.acm.org/wp-content/uploads/2023/12/Generative-AI-Nov-2023-Version.pdf

3. Compiler Error Messages Considered Unhelpful

4. Douglas Bengtsson and Axel Kaliff. 2023. Assessment Accuracy of a Large Language Model on Programming Assignments. https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-331000

5. Using thematic analysis in psychology

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