Combining LLM-Generated and Test-Based Feedback in a MOOC for Programming

Author:

Gabbay Hagit1ORCID,Cohen Anat1ORCID

Affiliation:

1. School of Education, Tel Aviv University, Tel Aviv, Israel

Publisher

ACM

Reference45 articles.

1. Evaluating the Quality of LLM-Generated Explanations for Logical Errors in CS1 Student Programs

2. Balse, R., Valaboju, B., Singhal, S., Prasad, P. and Madathil Warriem, J. 2023. Investigating the Potential of GPT-3 in Providing Feedback for Programming Assessments. The 2023 Conference on Innovation and Technology in Computer Science Education V. 1 (2023), 292--298.

3. Bang Y. Cahyawijaya S. Lee N. Dai W. Su D. Wilie B. Lovenia H. Ji Z. Yu T. Chung W. Do Q. V. Xu Y. and Fung P. 2023. A Multitask Multilingual Multimodal Evaluation of ChatGPT on Reasoning Hallucination and Interactivity. arXiv preprint arXiv:2302.04023. (2023).

4. Programming Is Hard - Or at Least It Used to Be

5. Cai, Y.Z. and Tsai, M.H. 2019. Improving Programming Education Quality with Automatic Grading System. International Conference on Innovative Technologies and Learning (Dec. 2019), 207--215.

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