Higher education assessment practice in the era of generative AI tools

OGUNLEYE, Bayode, ZAKARIYYAH, Kudirat, AJAO, Oluwaseun, OLAYINKA, Olakunle and SHARMA, Hemlata (2024). Higher education assessment practice in the era of generative AI tools. Journal of Applied Learning & Teaching, 7 (1).

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Abstract

The higher education (HE) sector benefits every nation’s economy and society at large. However, their contributions are challenged by advanced technologies like generative artificial intelligence (GenAI) tools. In this paper, we provide a comprehensive assessment of GenAI tools towards assessment and pedagogic practice and, subsequently, discuss the potential impacts. This study experimented using three assessment instruments from data science, data analytics, and construction management disciplines. Our findings are two-fold: first, the findings revealed that GenAI tools exhibit subject knowledge, problem-solving, analytical, critical thinking, and presentation skills and thus can limit learning when used unethically. Secondly, the design of the assessment of certain disciplines revealed the limitations of the GenAI tools. Based on our findings, we made recommendations on how AI tools can be utilised for teaching and learning in HE.

Item Type:	Article
Uncontrolled Keywords:	3901 Curriculum and pedagogy; 3902 Education policy, sociology and philosophy; 3904 Specialist studies in education
Identification Number:	https://doi.org/10.37074/jalt.2024.7.1.28
SWORD Depositor:	Symplectic Elements
Depositing User:	Symplectic Elements
Date Deposited:	03 Apr 2024 11:54
Last Modified:	03 Apr 2024 12:00
URI:	https://shura.shu.ac.uk/id/eprint/33521

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