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Essays in economics in ICU: Resuscitate or pull the plug?

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  • Suleymenova, Kamilya
  • Dawood, Mary
  • Psyllou, Maria

Abstract

This study investigates the perspectives of Economics academics regarding the impact of using text-generative AI (GAI) on teaching and assessment in the UK higher education (UKHE) sector, with a specific focus on essays. The survey of academics’ perceptions encompasses considerations of academic integrity, transferrable skills, and ethical GAI use. The responses unveiled a range of significant findings regarding the present condition of essay-based assessment in Economics education. The most prominent of which is that, while GAI development has introduced a new conflict between integrity concerns and essay-writing, Economics academics confirm that the latter continues to be important to their graduates. However, there is an emphasis on reshaping the format of conventional essays and refining traditional marking criteria. Elevating assessment questions along Bloom’s taxonomy is deemed vital for critical thinking and producing future-ready graduates. Respondents also recognise the need to impart ethical awareness among students when using GAI while exploring innovative pedagogies to develop and assess the new GAI skill set. Thus, our study challenges the dichotomy of pulling the plug on conventional essays and, instead, prompts a critical re-evaluation—resuscitation through reimagination. Finally, most express interest in learning more about GAI and its educational applications, either through self-experimentation or structured events and GAI training. Overall, the study reveals a complex topography of perspectives, highlighting the need for subtle, collaborative approaches as academics carefully evaluate strategies to leverage GAI’s potential while evolving assessments and pedagogies.

Suggested Citation

  • Suleymenova, Kamilya & Dawood, Mary & Psyllou, Maria, 2024. "Essays in economics in ICU: Resuscitate or pull the plug?," International Review of Economics Education, Elsevier, vol. 45(C).
    • Handle: RePEc:eee:ireced:v:45:y:2024:i:c:s1477388024000021
    DOI: 10.1016/j.iree.2024.100284
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    References listed on IDEAS

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    1. Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2023. "Generative AI at Work," Papers 2304.11771, arXiv.org, revised Nov 2024.
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