"Like a Nesting Doll" : Analyzing Recursion Analogies Generated by CS Students Using Large Language Models
Bernstein, S., Denny, P., Leinonen, J., Kan, L., Hellas, A., Littlefield, M., Sarsa, S., & Macneil, S. (2024). "Like a Nesting Doll" : Analyzing Recursion Analogies Generated by CS Students Using Large Language Models. In ITiCSE 2024 : Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1 (pp. 122-128). ACM. https://doi.org/10.1145/3649217.3653533
Päivämäärä
2024Tekijänoikeudet
© 2024 the Authors
Grasping complex computing concepts often poses a challenge for students who struggle to anchor these new ideas to familiar experiences and understandings. To help with this, a good analogy can bridge the gap between unfamiliar concepts and familiar ones, providing an engaging way to aid understanding. However, creating effective educational analogies is difficult even for experienced instructors. We investigate to what extent large language models (LLMs), specifically ChatGPT, can provide access to personally relevant analogies on demand. Focusing on recursion, a challenging threshold concept, we conducted an investigation analyzing the analogies generated by more than 350 first-year computing students. They were provided with a code snippet and tasked to generate their own recursion-based analogies using ChatGPT, optionally including personally relevant topics in their prompts. We observed a great deal of diversity in the analogies produced with student-prescribed topics, in contras
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Julkaisija
ACMEmojulkaisun ISBN
979-8-4007-0600-4Konferenssi
Conference on Innovation and Technology in Computer Science EducationKuuluu julkaisuun
ITiCSE 2024 : Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1Asiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/221088858
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Lisätietoja rahoituksesta
This research was partially supported by the Research Council of Finland (Academy Research Fellow grant number 356114).Lisenssi
Ellei muuten mainita, aineiston lisenssi on CC BY 4.0