ChatGPT vs. Students: A Comparative Analysis of Performance in Corporate Finance Exams

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Bibliographic Details
Title: ChatGPT vs. Students: A Comparative Analysis of Performance in Corporate Finance Exams
Language: English
Authors: Syed Mujahid Hussain (ORCID 0000-0001-7714-9602), Aqdas Malik (ORCID 0000-0002-3517-8760), Nisar Ahmad, Sheraz Ahm
Source: Journal of Educational Technology Systems. 2025 54(2):326-341.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Peer Reviewed: Y
Page Count: 16
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Tests/Questionnaires
Education Level: Higher Education
Postsecondary Education
Descriptors: Business Education, Finance Occupations, Undergraduate Students, Multiple Choice Tests, Artificial Intelligence, Difficulty Level, Numeracy, Problem Solving, Computer Uses in Education, Critical Thinking, Human Capital
DOI: 10.1177/00472395251378671
ISSN: 0047-2395
1541-3810
Abstract: This study assesses the performance of ChatGPT in comparison with that of undergraduate students in 60 multiple-choice questions (MCQs) of Corporate Finance exams that sought to measure students' abilities to solve different types of questions (descriptive and numerical) and of varying difficulty levels (basic and intermediate). Our results indicate that overall, the students performed significantly better in all question categories except ChatGPT, outperforming the students in descriptive questions. These results imply that while AI tools offer great potential in the teaching and learning domain, we must consider their limitations, especially in the application of numerical skills and the ability to develop practical solutions. Similar to other areas, AI is becoming inevitable in education, particularly in Finance, but it should be used cautiously as a supplementary tool, not completely replacing human intelligence.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1487959
Database: ERIC
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