Adoption of Artificial Intelligence-Powered Software among Technical Institution Students

The rapid advancement of artificial intelligence (AI) has led to its widespread adoption across various fields, including education. This study investigates the factors influencing the adoption of AI software among undergraduates at one of the technical universities in Malaysia. A quantitative research design was employed, utilizing a structured questionnaire to collect data from a sample of 370 undergraduate students. Data analysis was conducted using IBM SPSS Statistics. The results revealed that performance expectancy, effort expectancy, social influence, and facilitating conditions significantly influence the adoption of AI software among undergraduate students. These findings provide valuable insights into the determinants of AI adoption in higher education, which can inform strategies to enhance educational technology integration.

Artificial Intelligence; Technology Adoption

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