Academia and generative artificial intelligence (GenAI) SWOT analysis - higher education policy implications
Document Type
Conference Proceeding
Publication Title
Transfer, Diffusion and Adoption of Next-Generation Digital Technologies
Volume
698 AICT
First Page
3
Last Page
16
Publisher
Springer
School
School of Business and Law
RAS ID
62468
Abstract
ChatGPT - it’s the buzzword of the moment in Higher Education with both academics and students discussing this Generative AI tool. The reality, however, is that many do not truly understand it or, at this point, have not been equipped with the skills to use it as an effective tool in the workplace. HE is having to grapple with the widespread use and probable misuse of ChatGPT by students and re-think their business model moving forward to protect the quality and standards of university degrees. Exploration of the challenges and opportunities faced by GenAI within Academia is thus critical at this current point in time. This research paper aims to address this by capturing insight from HE stakeholders (academics, students and educational managers). Challenges as well as opportunities are explored whilst considering the implications this GenAI has on policy and assessment with future direction of potential research considered, in this rapidly evolving arena.
DOI
10.1007/978-3-031-50192-0_1
Access Rights
subscription content
Comments
Malik, T., Dettmer, S., Hughes, L., & Dwivedi, Y. K. (2023). Academia and generative artificial intelligence (GenAI) SWOT analysis - higher education policy implications. In Transfer, Diffusion and Adoption of Next-Generation Digital Technologies (pp. 3-16). Springer, Cham. https://doi.org/10.1007/978-3-031-50192-0_1