Teaching with generative AI: Bridging the skills gap for future-ready graduates

Research output: Contribution to conference (unpublished)Paperpeer-review

Abstract

Generative AI has brought new challenges to higher education institutions (HEIs) and business schools specifically. These challenges cannot be addressed if generative AI is ignored or poorly understood. Academics need to be aware of both the capabilities and limitations of generative AI in order to be able to effectively integrate it into their teaching practice. They also need to reflect on how new tools that generative AI brings fit with the broader values and mission of educators, as well as UoB’s mission as a civic university preparing graduates for the future.

In this context, we will begin our case study by surveying academics within the BBS on their perception of the impact of generative AI on their teaching and learning practice, with a particular focus on the relative importance of different academic values. Building on the results of this survey, we experiment with different approaches of teaching a selection of skills (taken from the UoB Graduate Attributes list) to our students, focusing on the ethical use of AI in the current environment. We will conclude by discussing the findings of this case study, with the aim of providing some practical recommendations.
Original languageEnglish
Publication statusPublished - 12 Sept 2023
EventBirmingham Business School Education Conference 2023: The Future of Higher Education: Challenges and Opportunities - University of Birmingham, Birmingham, United Kingdom
Duration: 12 Sept 202313 Sept 2023
Conference number: 3
https://www.birmingham.ac.uk/schools/business/events/2023/09/bbs-education-conference-2023.aspx

Conference

ConferenceBirmingham Business School Education Conference 2023
Abbreviated titleBBS Education Conference
Country/TerritoryUnited Kingdom
CityBirmingham
Period12/09/2313/09/23
Internet address

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