| 英文摘要 |
This study employs adult learning theory as a conceptual framework to reinterpret the transformative process of teachers’professional learning in the context of artificial intelligence (AI). Existing discussions primarily focus on technological skills and instructional effectiveness; however, teachers confront not merely technical acquisition but deeper transformations involving professional beliefs, role identity, and learning motivation. Integrating Knowles’self-directed learning, drawing on Knowles’self-directed learning, Mezirow’s transformative learning, Brookfield’s critical reflection, and Illeris’integrated learning model, this paper develops an analytical framework that conceptualizes teachers as adult learners. Using conceptual interpretation and institutional critique, supplemented by illustrative practice cases, the study identifies structural tensions emerging during AI integration, including tool anxiety, fragmented professional development systems, and insufficient support structures. Based on the principles of learner agency and developmental processes in adult learning, a four-stage transformation model (initiation, reflection, experimentation, reconstruction) and five institutional support strategies are proposed as a reference for redesigning teacher professional learning. This study argues that teacher professional development should shift from a skills-oriented approach to an adult learning perspective. Educational administration should likewise move from a supply-driven model toward a co-constructive orientation in order to cultivate a professional support system that is reflective, relational, and culturally responsive. The transformative learning model constructed in this study provides a theoretically grounded and institutionally relevant analytical framework for understanding Taiwanese teachers’professional learning in the context of AI, and offers important implications for the redesign of teacher professional development systems. |