Enhancing Programming eTextbooks with ChatGPT Generated Counterfactual-Thinking-Inspired Questions
Article Status
Published
Authors/contributors
- Narayanan, Arun Balajiee Lekshmi (Author)
- Hendrawan, Rully Agus (Author)
- V, Venktesh (Author)
Title
Enhancing Programming eTextbooks with ChatGPT Generated Counterfactual-Thinking-Inspired Questions
Abstract
Digital textbooks have become an integral part of everyday learning tasks. In this work, we consider the use of digital textbooks for programming classes. Generally, students struggle with utilizing textbooks on programming to the maximum, with a possible reason being that the example programs provided as illustration of concepts in these textbooks don't offer sufficient interactivity for students, and thereby not sufficiently motivating to explore or understand these programming examples better. In our work, we explore the idea of enhancing the navigability of intelligent textbooks with the use of ``counterfactual'' questions, to make students think critically about these programs and enhance possible program comprehension. Inspired from previous works on nudging students on counter factual thinking, we present the possibility to enhance digital textbooks with questions generated using GPT.
Date
2023
Accessed
06/11/2023, 20:24
Library Catalogue
DOI.org (Datacite)
Rights
Creative Commons Attribution Non Commercial No Derivatives 4.0 International
Extra
Publisher: arXiv
Version Number: 2
Citation Key: narayanan2023
<标题>: 利用 ChatGPT 生成的反事实思维启发问题增强编程电子教材
<AI Smry>: This work explores the idea of enhancing the navigability of intelligent textbooks with the use of ``counterfactual'' questions, to make students think critically about these programs and enhance possible program comprehension.
Citation
Narayanan, A. B. L., Hendrawan, R. A., & V, V. (2023). Enhancing Programming eTextbooks with ChatGPT Generated Counterfactual-Thinking-Inspired Questions. https://doi.org/10.48550/ARXIV.2306.00551
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