Teaching reform and practice of AI-assisted teaching in separation engineering
AI辅助教学在分离工程中的教学改革与实践

摘要

智能化的教学方式正在改变传统的教育模式，其中AI辅助教学作为最新应用的技术之一，特别是在理工科教育中引起了广泛的关注。本文聚焦于分离工程这一具有复杂理论和实践的工科领域，研究了AI辅助教学在这一领域的教学改革与实践。这是一项混合式学习的实践研究，我们设计了一种基于AI的在线教学平台，用于提升学生对分离工程知识的掌握和对复杂工程问题的解决能力。在这种模式下，传统的面对面教学与AI辅助在线学习方式相结合，得到了卓有成效的学习效果。研究发现，AI辅助教学能有效提高学生的学习效率，帮助其在对分离工程的理解上更进一步，对实际问题的解决也有明显提升。据统计，使用AI辅助教学的学生在分离工程基础知识上的答题准确率提高了25%，在实际工程问题解决中的答题准确率提高了30%。 此外，教师也从中获益匪浅，AI的引入可以减轻教师的课程负担，提供个性化的学习指导，对学生的学习进度和难点有透彻了解，从而提升其教学效率和质量。基于上述研究和实践，我们认为AI辅助教学在分离工程的教学改革中具有广泛的应用前景。

Abstract

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.