Predictors of student attitudes towards artificial intelligence: Implications and relevance to the higher education institutions

Abstract

Artificial intelligence [AI] is essential, especially in education. However, students still need to be more modest about utilizing it as a tool in the learning process. This study investigated the students' attitudes toward AI, the level of AI literacy, and AI self-efficacy. Also, the study intends to determine the predictors of student attitudes toward AI. Using a cross-sectional research design, the study assessed the perspectives of 708 voluntary students using a purposive sampling technique. With the help of Google Forms, the proponents used an online survey to gather the necessary data for the study. After collecting enough data, the data analyst employed descriptive and inferential statistics. Results show that regarding attitudes towards AI, the cognitive component got a remark of

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