The Frontiers of Society, Science and Technology, 2025, 7(8); doi: 10.25236/FSST.2025.070807.
Dahui Luo, Jiana Bi
School of Software and Big Data, Changzhou College of Information Technology, Changzhou, China
Against the dual background of the digital transformation of vocational education and the rapid development of the HarmonyOS ecosystem, the construction of HarmonyOS textbooks under the China-Characteristic Apprenticeship faces numerous practical dilemmas. The intelligent interaction and dynamic adaptation characteristics of AI provide an effective path to address these challenges. Focusing on the core requirements of the China-Characteristic Apprenticeship, this study systematically explores the internal logic of AI's in-depth empowerment in HarmonyOS textbook construction, constructs a "four-dimensional collaboration and closed-loop driven" empowerment framework, and proposes practical paths such as "AI-driven school-enterprise collaborative content development, AI-enhanced virtual supporting resource construction, AI-empowered personalized learning and evaluation, and dynamic update and feedback". Additionally, it supplements with four guarantee strategies including "policy, technology, school-enterprise collaboration, and quality". The research results form a complete system of "logic-framework-paths-guarantees", realizing the precise connection between textbooks, industrial needs, and teaching practice. This provides support for improving the training quality of HarmonyOS technical and skilled talents, and also offers guidance for the construction of new-form textbooks in vocational education and the in-depth development of industry-education integration.
China-Characteristic Apprenticeship; AI; In-Depth Empowerment; HarmonyOS Textbooks; Implementation Paths; Guarantee Strategies
Dahui Luo, Jiana Bi. In-Depth Empowerment of AI in HarmonyOS Textbooks Construction under the China-Characteristic Apprenticeship. The Frontiers of Society, Science and Technology (2025), Vol. 7, Issue 8: 41-48. https://doi.org/10.25236/FSST.2025.070807.
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