Student perceptions on the impact of AI on their teaching and learning experiences in higher education
Aisling Tierney, Peter Peasey, Joe Gould
Abstract
This paper provides evidence of student perspectives of Artificial Intelligence (AI) in Higher Education (HE). In contrast to the extant literature that uses large-scale survey data to gather the student voice, research methods that prioritise qualitative data collection are presented. The data responds to a gap in the empirical evidence, redressing the lack of qualitative data on students’ thoughts and feelings in response to AI within a UK context. The paper also compares categorisations of concern relating to AI in HE between that published by academics and that generated by students using their own frames of reference. Recommendations for HE institutions are provided in response to issues identified in the literature and the research data.