人工智慧融入遊戲式學習

課程大綱

1. AI在教育中的應用現況與發展 2. 遊戲式學習與自適應學習介紹 3. 機器學習方法論簡介 4. 機器學習應用於學習平台實務案例:以個人化、推薦、預測、預警為例 5. 應用機器學習導入遊戲式學習設計:行為分析、預測、適性化任務生成 6. 機器學習導入遊戲式學習之行為分析實務案例 7. 機器學習導入遊戲式學習之適性化任務生成實務案例 8. 以AI技術融合遊戲式學習與自適應學習 9. 以自適應學習融入遊戲式學習之實務案例:以持續心流設計為例 10. 以心流為導向的遊戲式自適應學習模型設計 1. Current Applications and Developments of AI in Education 2. Introduction to Game-Based Learning and Adaptive Learning 3. Overview of Machine Learning Methodologies 4. Practical Applications of Machine Learning in Learning Platforms: Personalization, Recommendation, Prediction, and Early Warning 5. Applying Machine Learning to Game-Based Learning Design: Behavior Analysis, Prediction, and Adaptive Task Generation 6. Practical Case Study of Behavior Analysis in Game-Based Learning with Machine Learning 7. Practical Case Study of Adaptive Task Generation in Game-Based Learning with Machine Learning 8. Integrating AI Technologies into Game-Based and Adaptive Learning 9. Practical Case Study of Integrating Adaptive Learning into Game-Based Learning: A Flow-State-Oriented Design 10. Designing a Flow-Oriented Game-Based Adaptive Learning Model