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

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

Emmanuel Senior Tenakwah, Gideon Boadu, Emmanuel Junior Tenakwah, Michael Parzakonis, Mark Brady, Penny Kansiime, Shannon Said, Sarah Eyaa, Raymond Kwojori Ayilu, Ciprian Radavoi, …
Knowledge management & e-learning, Vol.17(1), pp.1-48
01/03/2025
:
https://hdl.handle.net/20.500.14956/338
Education & Educational Research Social Sciences Artificial intelligence Artificial intelligence not elsewhere classified Other information and communication services
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 AIto 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.

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url
https://doi.org/10.34105/j.kmel.2025.17.001
Published (Version of record)
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