| 英文摘要 |
This study had focused on an elementary school in Tainan City as a case study and had adopted a mixed-methods research approach, including questionnaires, indepth interviews, and classroom observations, to comprehensively investigate the actual performance and influencing factors of elementary school students’selfdirected learning behaviors in a smart campus environment. Although the smart campus had been equipped with comprehensive digital teaching resources and technological tools that had provided learners with diverse and flexible learning opportunities, the findings had revealed significant individual differences in students’self-directed learning abilities. While some students had demonstrated strong intrinsic motivation and self-regulation, effectively using technological tools for self-exploration and knowledge construction, the majority had still relied heavily on teacher instructions or external incentives. Their ability to set learning goals and reflect on the learning process had remained underdeveloped, particularly in the areas of metacognition and deep learning. The results had highlighted that appropriate teacher guidance, curriculum design, and instructional strategies had played a crucial role in enhancing learning outcomes and students’self-efficacy within a smart learning environment. Based on these findings, the study had proposed a self-directed learning model tailored to smart campuses and had offered concrete recommendations for school administrators and frontline teachers. The aim had been to help students cultivate future core competencies such as self-discipline, reflection, and innovation, thereby promoting educational transformation and improving learning quality. |