The paper presents a study that used the Unified Theory of Acceptance and Use of Technology (UTAUT) model to determine the postgraduate students’ perception of AI in education. The six dimensions of performance expectancy, effort expectancy, social influence, facilitating conditions, attitude and anxiety were analysed. The interpretative study employed a mixed method approach. The questionnaire research instrument consisted of both quantitative and qualitative questions. With a sample of thirty postgraduate students, the study reveals that postgraduate students have a positive perception of using AI in education. Four of the six dimensions reflect a positive perception with two dimensions social influence and anxiety not being entirely positive. This study can assist in identifying strategies to help postgraduate students overcome their anxiety. Higher education institutions may consider the findings when formulating strategies for the incorporation of generative artificial intelligence into postgraduate teaching, research and assessment.

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Postgraduate Students’ Perspective of Generative Artificial Intelligence for Learning

  • Komla Pillay

摘要

The paper presents a study that used the Unified Theory of Acceptance and Use of Technology (UTAUT) model to determine the postgraduate students’ perception of AI in education. The six dimensions of performance expectancy, effort expectancy, social influence, facilitating conditions, attitude and anxiety were analysed. The interpretative study employed a mixed method approach. The questionnaire research instrument consisted of both quantitative and qualitative questions. With a sample of thirty postgraduate students, the study reveals that postgraduate students have a positive perception of using AI in education. Four of the six dimensions reflect a positive perception with two dimensions social influence and anxiety not being entirely positive. This study can assist in identifying strategies to help postgraduate students overcome their anxiety. Higher education institutions may consider the findings when formulating strategies for the incorporation of generative artificial intelligence into postgraduate teaching, research and assessment.