Work

ChatGPT and the course vulnerability index

Year: 2023

Type: article

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.

Source: Journal of Education for Business

DOI: 10.1080/08832323.2023.2260929

Authors: Nodir Adilov, Jeffrey W. Cline, Hui Hanke, Kent Kauffman, Lisa Meneau, Elva Resendez, Shubham Singh, Mike Slaubaugh, Nichaya Suntornpithug

Institution: Purdue University Fort Wayne

Language: English

Topic: Academic integrity and plagiarism

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W4387447981

FWCI: 2.902

Cites: 16

Cited by: 10

Related to: 10