Factors Affecting the College Students' Continuous Usage Behavior of Artificial Intelligence Technology: From the Perspective of Human-Computer Collaborative Learning

This research explored the emerging role of artificial intelligence (AI) in enhancing human-computer collaborative learning, a growing trend within educational paradigms. The study employed the Unified Theory of Acceptance and Use of Technology (UTAUT), Person-Environment Fit (P-E fit) theory, and Information Systems Continuance Use (ISC) theory to develop a theoretical model. This model elucidated the determinants of AI technology usage behavior among college students. The study revealed that 72% of the surveyed students acknowledged the facilitative role of AI tools in the learning process. Notably, students' intention to use AI significantly influenced their usage behavior. Furthermore, AI usage satisfaction acted as a positive mediator between usage intention and the propensity for continued use. These findings highlighted the importance of enhancing students' AI literacy and the necessity for the iterative development of AI tools to foster a more robust and effective collaborative learning ecosystem.