Under the influence of the ongoing round of scientific and technological revolution and industrial change, the in-depth integration of digital technology and vocational education system has become a key path to promote education transformation and upgrading.This paper takes the optimization and reconstruction of the talent cultivation system of higher vocational education as the core issue, systematically analyzes the real motivation and structural challenges of the teaching reform of higher vocational education empowered by digital technology, and further proposes the reform path mainly based on the "paradigm reconstruction and mechanism innovation".The study explores the practical reform strategy of "Introduction to Internet of Things Technology" from the aspects of teaching organization, construction of teaching material system, innovation of teaching mode and allocation of curriculum resources.Specific initiatives include: promoting the specialization of course content and synergistic teaching implementation by relying on a multi-principal collaborative teaching team; replacing the traditional teaching materials with a modular and task-oriented teaching materials system to enhance the dynamic adaptability of teaching resources; and promoting the blended teaching practice of online and offline integration by means of a smart teaching platform and information technology tools, so as to optimize the learning process and the experience of the learners.On this basis, a digitally empowered higher vocational education teaching path that adapts to future industrial needs and supports high-quality development is constructed.The study results can provide theoretical support and practical reference for higher vocational colleges and universities to realize the leap in talent cultivation quality.
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Yi Xia
Ministry of Education of the People's Republic of China
Rongyu He
Zhejiang Industry Polytechnic College
Yanru Chen
Huazhong University of Science and Technology
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Xia et al. (Tue,) studied this question.
synapsesocial.com/papers/68d45b3431b076d99fa5dd43 — DOI: https://doi.org/10.71204/cs8f0w63