With the rapid development of Artificial Intelligence(AI) technology, AI-enabled intelligent systems are widely used across various industries. Under the New Engineering education framework, integrating industry and education has become a key direction for university teaching reform to enhance students’ practical application skills in intelligent systems. As part of the Huawei “Intelligent Base” industry-education collaboration curriculum, this paper explores the framework for practical teaching reform in AI-empowered intelligent systems. The paper discusses updating practical teaching cases, reforming teaching methods, and assessment approaches in the context of industry-education integration for the compiler principles course. Finally, the paper summarizes the outcomes of these teaching reforms.

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Exploration of Practical Teaching on Intelligent Systems Based on Industry-Education Integration

  • Min Dong,
  • Sheng Bi

摘要

With the rapid development of Artificial Intelligence(AI) technology, AI-enabled intelligent systems are widely used across various industries. Under the New Engineering education framework, integrating industry and education has become a key direction for university teaching reform to enhance students’ practical application skills in intelligent systems. As part of the Huawei “Intelligent Base” industry-education collaboration curriculum, this paper explores the framework for practical teaching reform in AI-empowered intelligent systems. The paper discusses updating practical teaching cases, reforming teaching methods, and assessment approaches in the context of industry-education integration for the compiler principles course. Finally, the paper summarizes the outcomes of these teaching reforms.