International Journal of Education

Intelligent teaching methods are changing the traditional education model. Among them, AI-assisted teaching, as one of the latest applied technologies, has attracted widespread attention, especially in science and engineering education. This paper focuses on the engineering field of separation engineering, which has complex theories and practices, and studies the teaching reform and practice of AI-assisted teaching in this field. This is a practical research on blended learning. We have designed an AI-based online teaching platform to enhance students mastery of separation engineering knowledge and their ability to solve complex engineering problems. In this mode, the combination of traditional face-to-face teaching and AI-assisted online learning has achieved highly effective learning results. Research has found that AI-assisted teaching can effectively enhance students learning efficiency, help them deepen their understanding of separation engineering, and significantly improve their ability to solve practical problems. According to statistics, the accuracy rate of students using AI-assisted teaching in answering basic knowledge of separation engineering has increased by 25%, and the accuracy rate in answering practical engineering problems has increased by 30%. In addition, teachers have also benefited a lot from it. The introduction of AI can reduce teachers course burden, provide personalized learning guidance, and have a thorough understanding of students learning progress and difficulties, thereby improving their teaching efficiency and quality. Based on the above research and practice, we believe that AI-assisted teaching has broad application prospects in the teaching reform of separation engineering.

AI-Assisted teaching; Separation engineering; Teaching reform; Blended learning; Improvement of learning efficiency