AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A Chinese learning platform integrating knowledge graph technology and adaptive question answering, developed to address fragmented knowledge structures, unclear learning paths, and insufficient personalized support in Chinese learning for non-native speakers is designed.
Current Chinese history education faces problems including weak connection between ideological and political education and professional teaching, insufficient integration of theory and practice, and limited development of students’ comprehensive qualities. This paper constructs a three-in-one collaborative education framework that organically integrates ideological and political education in courses with industry-education integration. The Delphi method is used to establish the educational goal system, and the Analytic Hierarchy Process is applied to build a three-level evaluation model covering ideological-political, professional, and practical dimensions, with weights of 0.35, 0.38, and 0.27, respectively. A two-year teaching experiment involving 240 students from 12 universities is conducted using a three-stage teaching model of ideological-political guidance, professional deepening, and practical transformation. A university-enterprise collaborative platform is also established, and 24 industry training projects are developed. Results show that the experimental group improves by 43.8% in cultural confidence perception, 41.0% in historical material interpretation ability, 49.3% in innovative output, and from 0.58 to 0.89 in professional skills mastery, verifying the model’s effectiveness.
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