Socratic Questioning of Novice Debuggers: A Benchmark Dataset and Preliminary Evaluations
Erfan Al-Hossami, Razvan Bunescu, Ryan Teehan, Laurel Powell, Khyati Mahajan, Mohsen Dorodchi
Abstract
Socratic questioning is a teaching strategy where the student is guided towards solving a problem on their own, instead of being given the solution directly. In this paper, we introduce a dataset of Socratic conversations where an instructor helps a novice programmer fix buggy solutions to simple computational problems. The dataset is then used for benchmarking the Socratic debugging abilities of GPT-based language models. While GPT-4 is observed to perform much better than GPT-3.5, its precision, and recall still fall short of human expert abilities, motivating further work in this area.- Anthology ID:
- 2023.bea-1.57
- Volume:
- Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Ekaterina Kochmar, Jill Burstein, Andrea Horbach, Ronja Laarmann-Quante, Nitin Madnani, Anaïs Tack, Victoria Yaneva, Zheng Yuan, Torsten Zesch
- Venue:
- BEA
- SIG:
- SIGEDU
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 709–726
- Language:
- URL:
- https://aclanthology.org/2023.bea-1.57
- DOI:
- 10.18653/v1/2023.bea-1.57
- Cite (ACL):
- Erfan Al-Hossami, Razvan Bunescu, Ryan Teehan, Laurel Powell, Khyati Mahajan, and Mohsen Dorodchi. 2023. Socratic Questioning of Novice Debuggers: A Benchmark Dataset and Preliminary Evaluations. In Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023), pages 709–726, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Socratic Questioning of Novice Debuggers: A Benchmark Dataset and Preliminary Evaluations (Al-Hossami et al., BEA 2023)
- PDF:
- https://preview.aclanthology.org/dois-2013-emnlp/2023.bea-1.57.pdf