A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education-Reference-Cited by-同舟云学术

A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education

Published:2024-01-29 Issue: Volume:2 Page:114-123
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Container-title:Proceedings of the 26th Australasian Computing Education Conference
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Author:

Doughty Jacob¹^ORCID,Wan Zipiao¹^ORCID,Bompelli Anishka¹^ORCID,Qayum Jubahed¹^ORCID,Wang Taozhi¹^ORCID,Zhang Juran¹^ORCID,Zheng Yujia¹^ORCID,Doyle Aidan²^ORCID,Sridhar Pragnya²^ORCID,Agarwal Arav¹^ORCID,Bogart Christopher¹^ORCID,Keylor Eric¹^ORCID,Kultur Can¹^ORCID,Savelka Jaromir¹^ORCID,Sakr Majd¹^ORCID

Affiliation:

1. Carnegie Mellon University, United States

2. Carnegie Mellon University - LTI, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3636243.3636256

Reference59 articles.

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3. Andrew C Butler. 2018. Multiple-choice testing in education: Are the best practices for assessment also good for learning?Journal of Applied Research in Memory and Cognition 7, 3 (2018), 323–331.

4. Automatic Multiple Choice Question Generation From Text: A Survey

5. A Recurrent BERT-based Model for Question Generation

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