This analysis proposes an advanced practice model enhancing personalized learning and technological innovation in tumor radiotherapy education.
This study systematically analyzes the current situation of tumor radiotherapy education and reveals the core contradictions it faces: lagging curriculum content, weak practical teaching, and insufficient interdisciplinary knowledge leading to deviations in clinical competence cultivation. Based on the current situation analysis, propose an innovative training model: (1) Curriculum reconstruction: Integrating OBE concept and ADDIE model, constructing a three-level curriculum system of “basic clinical frontier”; (2) Advanced Practice: Establishing a five level capability ladder using the EPA model (basic operations → conventional design → precise implementation → multidisciplinary integration → technological innovation), with supporting dynamic monitoring mechanisms; (3) Technological empowerment: Realizing clinical scene visualization training through digital twins, AI personalized learning systems, and VR/AR technology. The implementation path emphasizes the deep integration of intelligent technology, the incubation of clinical research projects, and the construction of a collaborative ecosystem between industry, academia, and research. The conclusion indicates that this model solves the lack of linkage between educational ecological elements, promotes the transformation of radiotherapy education towards “intelligence, personalization, and globalization,” and provides a systematic solution for the strategic delivery of composite radiotherapy talents for a healthy China.
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Xia et al. (2025) studied this question.
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