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

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

Published:2024-01-29 Issue: Volume: Page:
ISSN:
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.

1. Arav Agarwal Karthik Mittal Aidan Doyle Pragnya Sridhar Zipiao Wan Jacob Doughty Jaromir Savelka and Majd Sakr. 2023. Understanding the Role of Temperature in Diverse Question Generation by GPT-4.

2. The question answering systems: A survey;Mohamed Nabil Allam Ali;International Journal of Research and Reviews in Information Sciences (IJRRIS),2012

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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