Evaluating the Intention for the Student's Adoption of Artificial Intelligence for Learning Activities in Education-Based University

Technology is developing to provide new experiences resembling human intelligence, called artificial intelligence (AI). AI technology can be applied in various aspects of science and life, including education. Therefore, a study will explore some factors in student that can encourage the intention to adopt artificial intelligence for learning activities at Universitas Negeri Malang (UM). UM is one of the best universities in the education field in Indonesia. This research aims to examine the factors influencing AI adoption in learning activities in higher education. The study will be developed using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. This study used 251 students from UM. The researchers used SEM-PLS to analyze the data. The findings showed that performance expectancy and perceived risk significantly influenced on attitudes toward AI, which in turn can lead to the adoption of AI in Higher education. AI has a significant impact on learning activities in the classroom. In addition, the AI price does not influence the use of AI by students in higher education.