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ChatGPT and the Course Vulnerability Index

Authors :
Nodir Adilov
Jeffrey W. Cline
Hui Hanke
Kent Kauffman
Lisa Meneau
Elva Resendez
Shubham Singh
Mike Slaubaugh
Nichaya Suntornpithug
Source :
Journal of Education for Business. 2024 99(2):125-132.
Publication Year :
2024

Abstract

This article develops an index to measure the level of susceptibility of courses to cheating using ChatGPT (Chat Generative Pre-trained Transformer), an advanced text-based artificial intelligence (AI) language model. It demonstrates the application of the index to a sample of business courses in a mid-sized university. The study finds that the vulnerability index varies across disciplines and teaching modalities. As advanced language models become more common in academic settings and create new educational challenges, the study provides an intuitive and practical mechanism for instructors and academic units to measure and assess the vulnerability of their courses to various language-based predictive models.

Details

Language :
English
ISSN :
0883-2323 and 1940-3356
Volume :
99
Issue :
2
Database :
ERIC
Journal :
Journal of Education for Business
Publication Type :
Academic Journal
Accession number :
EJ1411754
Document Type :
Journal Articles<br />Reports - Research
Full Text :
https://doi.org/10.1080/08832323.2023.2260929