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。
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.
作者
曹陵玉
梁坤
林川楠
李嘉慧
颜云沨
张瑞
CAO Lingyu;LIANG Kun;LIN Chuannan;LI Jiahui;YAN Yunfeng;ZHANG Rui(Business School of Anhui University,Hefei Anhui,230601,China)
出处
《创新创业理论研究与实践》
2022年第22期121-124,共4页
The Theory and Practice of Innovation and Enterpreneurship
基金
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
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
Digital twin
Personalized teaching
Hybrid teaching model
Online and offline resource integration
