AI Empowerment and Industry-Education Integration: Exploration on the Curriculum Reform Path of Network Architecture

Abstract

Against the backdrop of the digital economy and emerging engineering education construction, Network Architecture, as a core course in the field of information and communication engineering, is confronted with problems such as outdated content lagging behind technological iteration, practical teaching disconnection from industrial demands, insufficient integration of AI technology, and weak industry-education collaboration. Targeting the cultivation of network talents with AI application capabilities and industrial adaptability, this paper constructs a three-in-one reform framework of “AI-empowered teaching innovation-industry-education integrated ecosystem construction-diversified evaluation guarantee.” At the level of AI empowerment, teaching quality is improved through intelligent reconstruction of curriculum content, upgrading of teaching methods, and innovation of the practical system. At the level of industry-education integration, a dual-cycle mechanism of “campus resource integration-off-campus industrial collaboration” is established to cultivate talents jointly through cooperative training bases. At the evaluation level, a value-added evaluation model based on a knowledge graph is introduced to realize the three-dimensional process assessment of “knowledge-skills-literacy.” Empirical research verifies the effectiveness of the reform path, providing a replicable practical paradigm for the AI-based transformation and in-depth industry-education integration of engineering courses.