Exploring the role of artificial intelligence (AI) in tertiary education: students' perspectives on non-human lecturers

Loh, Yi Wen (2023) Exploring the role of artificial intelligence (AI) in tertiary education: students' perspectives on non-human lecturers. Final Year Project, UTAR.

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Abstract

AI digital technology is moving forward at a breakneck pace and shows no signs of slowing down. Through surveys of university students, AI technology is already helping today's education systems work smarter. In today's global education system, not only are our learning models becoming smarter and more efficient, but the adoption of AI Lecturers and the attitudes of university students towards using AI Lecturers have greatly increased. We are becoming more efficient in our learning patterns. AI technology has become an influential factor in our education system. The main purpose of this study is to determine the relationship between ease of communication, perceived usefulness, attitude toward using AI Lecturers, intention to adopt AI Lecturers and university students’ attitude toward AI. The two variables are based on the TAM framework created by Davis (1989). One variable adopts the FATE framework created by Kim et al. (2021). In this study, researchers chose quantitative research design to collect data. A total of 252 responses were received and analyzed. The results of this study show that AI technology is positively correlated with the intention of university students to adopt AI teachers in the education system. In addition, the results of this study also suggest that university students adopt AI teachers on the basis that the ease of communication is minimal.

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