数智赋能的TEIPC教学模式探索  

Exploration of TEIPC Teaching Model of Digital Intelligence Empowerment

作　　者：张洋 徐圆[1] 朱群雄[1] 张明卿[1] ZHANG Yang;XU Yuan;ZHU Qunxiong;ZHANG Mingqing(College of Information Science and Technology,Beijing University of Chemical Technology,Beijing100029,China)

机构地区：[1]北京化工大学信息科学与技术学院,北京100029

出　　处：《化工高等教育》2025年第1期67-72,共6页Higher Education in Chemical Engineering

基　　金：北京化工大学2023年研究生校企合作课程建设项目(G-XQ202410)。

摘　　要：文章深入探讨了基于TEIPC模式的神经网络技术课程数字化改革方案。该方案紧密结合理论与实践,通过跨学科资源整合,构建了一个融合理论与实践的教学框架。项目实践作为关键环节,为学生提供真实的应用场景,以培养他们的实践能力和团队协作精神。同时,在线社区促进了师生间的交流互动和知识共享。这种数智赋能的教学模式丰富了教学内容,提升了教学效果,支撑了具有创新精神和实践能力人才的培养。This paper presents an in-depth discussion of a digital reform plan for the course of Neural Network Technology based on the TEIPC model.The plan effectively combines theoretical knowledge with practice,establishes a teaching framework that integrates theory and practice through interdisciplinary resource integration.Project practice,as a key component,provides students with realworld application scenarios and helps to develop their practical skills and teamwork abilities.The online community facilitates communication,interaction,and knowledge sharing between teachers and students.This model enabled by digital intelligence enriches teaching content,enhances teaching effectiveness,and supports the cultivation of talents with innovative spirits and practical abilities.

关 键 词：数字化课程 数智赋能 TEIPC模式 神经网络技术 

分 类 号：G63[文化科学—教育学]