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Enhancing Database Principles Teaching with ChatGPT-Like Language Models

  • Junwen Duan,
  • Fei Guo,
  • Jin Liu,
  • Hongdong Li

摘要

This paper introduces a cutting-edge framework for Database Principles teaching, leveraging a ChatGPT-like language model to enhance learning experiences. It surpasses traditional teaching methods by offering tailored learning paths, real-time question-and-answer sessions, and smart content suggestions. The framework’s potential lies in boosting student engagement, learning outcomes, and access to quality educational resources. It covers the concept, architecture, teaching strategies, and evaluation methods of the framework, highlighting its strengths and challenges. The conclusion reflects on the broader implications of AI in education.