Understanding How Generative AI Can Encourage Self-Directed Learning: The Roles of Perceived Self-Efficacy and Learning Motivation

he findings of this study are especially important for designing next-generation learning policies and practices integrating GAI tools. As for the theoretical contribution, this study combines human behavioral theories with adult learning theories and extends technology adoption models by exploring the consequences of such adoptions. Practically speaking, educators can find this research especially helpful for understanding how GAI affects students’ learning behaviors and encourages autonomous learning. Tertiary education institutions and EdTech platforms can incorporate the insights of this study in their AI policies and curriculum developments.