Understanding the Role of Temperature in Diverse Question Generation by GPT-4
Author:
Affiliation:
1. Carnegie Mellon University, Pittsburgh, PA, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3626253.3635608
Reference6 articles.
1. Benjamin S Bloom, Max D Englehart, Edward J Furst, Walker H Hill, David R Krathwohl, et al. 1956. Taxonomy of educational objectives, handbook I: the cognitive domain. New York: David McKay Co.
2. Paul Denny Hassan Khosravi Arto Hellas Juho Leinonen and Sami Sarsa. 2023. Can We Trust AI-Generated Educational Content? Comparative Analysis of Human and AI-Generated Learning Resources. arXiv:2306.10509 [cs.HC]
3. A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education
4. The Measurement of Observer Agreement for Categorical Data
5. Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book
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