【摘要】 "新工科"背景下材料类专业的实验教学在培养学生探索材料本质、开发新材料和解决实际问题的综合素质和能力方面发挥着举足轻重的作用."虚实互补"实验教学模式能打破传统实验教学模式,通过多方位引入材料仿真实验,将其融入理论教学和实践教学中,解决传统实验教学中存在的制约问题,创建"理论-仿真-实验"三位一体化的实验教学模式,实现理论问题理解更透彻,理论性质理解更形象,实验结果机理分析更深入.将虚拟仿真实验与材料设计相结合,让学生把理论基础学习与实践探索环节用设计与模拟有机地衔接,帮助学生由被动继承性的学习变为主动创造性的学习,可实现新材料设计和材料改性有的放矢."虚实互补"实验教学模式有效响应"新工科"教学新理念,即整合教育技术、创建虚拟学习环境、实现跨学科协同合作,利于本科生从事科研、促进师生互动和实践互动,利于实施深度学习、混合学习、分析学习的智慧教学模式.更多还原

【Abstract】 Under the background of "emerging engineering", the experimental teaching of materials plays an important role in cultivating students’ comprehensive quality and ability to explore the nature of materials, to develop new materials, and to solve practical problems. The experimental teaching mode of "virtual reality complementation" can break the traditional experimental teaching mode. By embedding the material simulation experiment into the theoretical teaching and practical teaching, the problems existing in the traditional experimental teaching can be solved, the experimental teaching mode of "theory simulation experiment" integration be created, the theoretical problems be analyzed more thoroughly and the theoretical nature be understood more vividly. The mechanism analysis of the experimental results is more in-depth. By combining virtual simulation experiment with material design, students can connect the theoretical learning with practical exploration organically with design and simulation, and change the learning mode from passive inheritance to active and creative learning, which can realize some aspects of new material design and material modification. The experimental teaching mode of "virtual reality complementation" effectively responds to the new concept of "emerging engineering" teaching, that is, integrating educational technology, creating a virtual learning environment, realizing interdisciplinary cooperation, which is conducive to the scientific research of undergraduates, promoting the interaction between teachers and students, practice interaction, and implementing the intelligent teaching mode of in-depth learning, mixed learning and analysis learning.更多还原