Integrating GenAI in higher education: Insights, perceptions, and a taxonomy of practice

Samantha Newell, Rachel Fitzgerald, Kimberley Hall, Jennie Mills, Tina Beynen, Ivy Chia Sook May, Jon Mason, Evelyn Lai

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

Generative Artificial Intelligence (GenAI) has the potential to transform Higher Education. However, the swift pace of technological change and largely small-scale educator experimentation makes systematic evaluation of sector-wide impact upon practice challenging. This chapter documents a snapshot of an evolving discourse and provides insights into the perceptions of GenAI, drawn from online practitioner conversations. We critically focus on implications and challenges of integrating GenAI into practice, through the theoretical lenses of Rogers’s Diffusion of Innovation (2003), Fawns’ ‘entangled pedagogy’ (2022) and Bourdieu’s ‘social capital’ (1986). We propose a taxonomy of practice that aligns individual values with institutional goals, enabling ethical decision-making and change management.
Original languageEnglish
Title of host publicationUsing Generative AI Effectively in Higher Education
Subtitle of host publicationSustainable and Ethical Practices for Learning, Teaching and Assessment
EditorsSue Beckingham, Jenny Lawrence, Stephen Powell, Peter Hartley
Place of PublicationUnited Kingdom
PublisherRoutledge
Chapter5
Pages42-53
Number of pages12
Volume1
Edition1
ISBN (Electronic)9781003482918
ISBN (Print)9781032773988
DOIs
Publication statusPublished - 25 Jun 2024

Publication series

NameThe Staff and Educational Development Association (SEDA) Focus Series
PublisherRoutledge

Fingerprint

Dive into the research topics of 'Integrating GenAI in higher education: Insights, perceptions, and a taxonomy of practice'. Together they form a unique fingerprint.

Cite this