创新创业理论研究与实践 ›› 2022, Vol. 5 ›› Issue (22): 121-124.

• 模式探索 • 上一篇    下一篇

基于数字孪生学习者的高校个性化混合教学模式研究

曹陵玉, 梁坤, 林川楠, 李嘉慧, 颜云沨, 张瑞   

  1. 安徽大学 商学院,安徽合肥 230601
  • 出版日期:2022-11-25 发布日期:2023-02-10
  • 通讯作者: 张瑞(1977-),女,安徽泗县人,博士,副教授,研究方向:企业信息资源管理、电子商务、知识管理,通讯邮箱:Ruizh05@163.com。
  • 作者简介:曹陵玉(2000-),女,安徽安庆人,本科在读,研究方向:电子商务。
  • 基金资助:
    2021年大学生创新创业训练计划省级“基于线上线下资源推荐的个性化混合教学模式创新”(项目编号:S202110357446); 线上线下混合式和社会实践课程项目——电子商务数据分析与应用(项目编号:2020xsxxkc052)的研究成果

Research on Personalized Mixed Teaching Models of Colleges and Universities Based on Digital Twin Learners

CAO Lingyu, LIANG Kun, LIN Chuannan, LI Jiahui, YAN Yunfeng, ZHANG Rui   

  1. Business School of Anhui University, Hefei Anhui, 230601, China
  • Online:2022-11-25 Published:2023-02-10

摘要: 随着云计算、大数据、人工智能等信息技术的出现,为高校教学的拓展提供了新的思路。然而,个性化教学的缺失是当前高校教育的难题,迫切需要在大数据环境下构建深度个性化混合教学模式来解决这一难题。该文通过问卷调查分析高校个性化教学现状,针对发现的问题,依托数字孪生学习者的概念,从模式原理、资源整合、数字孪生学习者构建、个性化混合教学四个方面构建个性化混合教学模式。该研究为当前高校开展线上线下融合的个性化教学提供了模式参考,并助力师生教与学效率的提升。

关键词: 数字孪生, 个性化教学, 混合教学模式, 线上线下资源整合

Abstract: With the emergence of information technologies such as cloud computing, big data, and artificial intelligence, new ideas have emerged to solve teaching problems in colleges and universities. However, the lack of personalized teaching is the pain point of current college education, and it is imminent to build a deeply personalized hybrid teaching model in the big data environment. This paper analyzes the current situation of personalized teaching in colleges and universities through a questionnaire survey. In response to the problems that find, this paper relies on the concept of digital twin learners, and constructs a personalized blended teaching model from four aspects: model principle, resource integration, digital twin learner construction, and personalized blended teaching. This research provides a model reference for the current colleges and universities to carry out online and offline integration of personalized teaching, which helps teachers and students to improve the efficiency of teaching and learning.

Key words: Digital twin, Personalized teaching, Hybrid teaching model, Online and offline resource integration

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