The launch of OpenAI’s ChatGPT in late 2022 sent ripples across higher education, particularly in attempts to detect its use by students using it to complete assignments. This paper involves a critical reflection of an academic’s journey with “AI tools” in higher education, and a comparison of responses generated by AI tools such as ChatGPT and Google Bard in response to a case study-based assessment question. Integrated with the author’s experiences grading assignments that had been at least partially generated by artificial intelligence (AI) but not known at that time, this study found that case studies tend not to lend themselves well to having good quality responses being generated by AI tools, at least during this stage of their development. However, implications for assessment writing involving case studies include the need for sufficient details both essential and peripheral so that students have to “separate the wheat from the chaff”, and decipher how best to apply the concepts being examined based on the unique circumstances of the case scenario. At this moment in time, it appears that the use of complex, detailed, and well written case studies in assessment questions could ensure authentic assessments in higher education.

Authors:
Nicholas Netto, Singapore University of Social Sciences, Singapore

About the Presenter(s)
Nicholas Netto is Senior Lecturer at the Singapore University of Social Sciences. He has a Master of Science from the University of Oxford, and has worked at the Singapore Prison Service, Tote Board, and the Prime Minister's Office's Innovation Lab.

Connect on Linkedin
https://www.linkedin.com/in/nicholasnetto/

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