Assessment in the age of artificial intelligence: Interdisciplinary analysis of ChatGPT response to higher education assessment tasks

Article

Tenakwah, Emmanuel Senior, Boadu, Gideon, Tenakwah, Emmanuel Junior, Parzakonis, Michael, Brady, Mark, Kansiime, Penny, Said, Shannon, Eyaa, Sarah, Ayilu, Raymond Kwojori, Radavoi, Ciprian and Berman, Alan. 2025. "Assessment in the age of artificial intelligence: Interdisciplinary analysis of ChatGPT response to higher education assessment tasks." Knowledge Management and E-Learning. 17 (1). https://doi.org/10.34105/j.kmel.2025.17.001
Article Title

Assessment in the age of artificial intelligence: Interdisciplinary analysis of ChatGPT response to higher education assessment tasks

ERA Journal ID42165
Article CategoryArticle
AuthorsTenakwah, Emmanuel Senior, Boadu, Gideon, Tenakwah, Emmanuel Junior, Parzakonis, Michael, Brady, Mark, Kansiime, Penny, Said, Shannon, Eyaa, Sarah, Ayilu, Raymond Kwojori, Radavoi, Ciprian and Berman, Alan
Journal TitleKnowledge Management and E-Learning
Journal Citation17 (1)
Number of Pages48
Year2025
PublisherUniversity of Hong Kong
Place of PublicationHong Kong
ISSN2073-7904
Digital Object Identifier (DOI)https://doi.org/10.34105/j.kmel.2025.17.001
Web Address (URL)https://www.kmel-journal.org/ojs/index.php/online-publication/article/view/614
Abstract

The development and introduction of AI language models have
transformed the way humans and institutions interact with technology, enabling natural and intuitive communication between humans and machines. This paper conducts a competence-based analysis of ChatGPT’s task responses to provide insights into its language proficiency, critical analysis and reasoning ability, and structure and relevance of the responses. A multidisciplinary approach is adopted, drawing from multiple fields such as accounting, education,
management, social work and law, to evaluate the responses generated by the AI to higher education assignments. This paper offers insights into the strengths and limitations of ChatGPT responses and identifies implications for the design
and implementation of higher education assessment tasks.

KeywordsChatGPT; Higher Education; Taskresponse competency; Artificial intelligence; Assessment; Performance
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020480409. Legal education
390303. Higher education
500103. Ethical use of new technology
Byline AffiliationsCharles Darwin University
Royal Melbourne Institute of Technology (RMIT)
Southern Cross University
Excelsia College, Australia
Edith Cowan University
Western Sydney University
Leibniz Centre for Agricultural Landscape Research, Germany
University of Southern Queensland
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