TITLE:
Exploring Interdisciplinary Project-Based Teaching Reform of “AI Meets HarmonyOS” in Higher-Vocational IoT Programs: A Case Study on Smart-Home Development
AUTHORS:
Jianqing Tang
KEYWORDS:
Artificial Intelligence, HarmonyOS, Project-Based Teaching, Internet of Things, Smart Home, Higher Vocational Education
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.13 No.12,
December
26,
2025
ABSTRACT: The mass deployment of HarmonyOS and the convergence of generative AI have created a twofold dilemma for higher-vocational IoT education: curricula lag behind rapid technological change, and abstract concepts remain disconnected from practice. Grounded in a competence-based approach, we redesigned a course around a smart-home application that deeply integrates GitHub Copilot and Tongyi Lingma into the complete workflow of project decomposition, code generation, debugging, and integration testing. The resulting three-dimensional framework—project-driven, AI-empowered, and hierarchically scaffolded—enables students to advance through basic functions, core technical challenges, and innovative extensions within 72 class hours, using a light-control subsystem as the illustrative thread. Empirical results demonstrate significant gains in students’ ability to solve complex engineering problems and to collaborate effectively with AI tools. The study offers a replicable model for interdisciplinary, project-based teaching in higher vocational colleges navigating the new-technology wave.