Students' perceptions of using artificial intelligence in tertiary education

A phenomenographic study

Authors

DOI:

https://doi.org/10.14742/apubs.2024.1233

Keywords:

Artificial Intelligence, student perception, tertiary education, phenomenography, engineering

Abstract

Artificial Intelligence (AI) is increasingly influencing various aspects of teaching and learning in tertiary educational institutes. This concise paper presents the preliminary findings of an ongoing research that aims at exploring university students' perceptions of the use of AI in higher education settings. Phenomenographic framework has been adapted as the methodological guide for this research. Semi-structured interviews were conducted among students of an international university to capture students' perceptions. Findings revealed that university students possess diverse perspectives on the use of AI in higher education settings. Four qualitatively distinct categories of perceptions of AI emerged from the interview data. It is found that university students perceive the use of AI as a) an essential academic aid, b) a facilitator of personalized learning, c) an inhibitor to critical thinking, and d) an ethical challenger. Findings have pedagogical, administrative, and ethical implications for developing AI-driven technology-focused policy that facilitates diverse student needs. 

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Published

2024-11-23

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Section

ASCILITE Conference - Concise Papers