Tenakwah, Emmanuel Senior, Tenakwah, Emmanuel Junior, Brady, Mark, Said, Shannon, Ayilu, Raymond Kwojori ORCID: https://orcid.org/0000-0001-5256-0171, Berman, Alan, Boadu, Gideon, Parzakonis, Michael, Kansiime, Penny, Eyaa, Sarah and Radavoi, Ciprian (2025) Assessment in the age of artificial intelligence: Interdisciplinary analysis of ChatGPT response to higher education assessment tasks. Knowledge Management & E-Learning: An International Journal, 17 (1). pp. 1-48. DOI https://doi.org/10.34105/j.kmel.2025.17.001.

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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.

Document Type: Article
Programme Area: PA1
Research affiliation: Social Sciences > Institutional and Behavioural Economics
Refereed: Yes
Open Access Journal?: Yes
DOI: https://doi.org/10.34105/j.kmel.2025.17.001
ISSN: 20737904
Date Deposited: 02 Jul 2025 08:28
Last Modified: 02 Jul 2025 08:28
URI: http://cris.leibniz-zmt.de/id/eprint/5669

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