智能技术赋能网络在线教育学习质量研究  

Research on the Learning Quality of Online Education Empowered by Intelligent Technology

作　　者：杨子祥 丁刚 YANG Zixiang;DING Gang(Tianjin Open University,Tianjin 300350,China)

机构地区：[1]天津开放大学,天津300350

出　　处：《河北开放大学学报》2025年第1期31-35,共5页Journal of Hebei Open University

基　　金：2022年度天津市教育科学规划课题“智能技术赋能网络在线教育评价体系研究”(ECE 220112);天津开放大学第七批教学改革项目“教育数字化转型赋能信息化数据平台建设”(JG 2305)。

摘　　要：网络在线学习因打破了时空限制,具有随时随地学习的优势,在继续教育领域的应用越来越广泛。但是由于网络在线学习存在挂机、代学、临场感弱、交互性不足等问题,导致网络在线学习的质量无法得到控制和保障,从而使得学生的学习效果不理想。智能技术在网络在线学习平台中的广泛应用,不仅仅丰富了平台信息化水平,而且还实现了学生的个性化学习。因此,探索通过在网络在线学习平台中引入人脸识别、表情识别、场景模拟、大数据等人工智能技术,提升学生在网络在线学习过程中专注度和积极性的策略,进而提升网络在线学习的质量。Network online learning has been widely used in the field of continuing education because it breaks the time and space restrictions and has the advantage of learning anytime and anywhere.However,due to the problems of online learning,such as hanging up,substituting for learning,weak sense of presence and insufficient interaction,the learning quality of online learning can not be controlled and guaranteed,which makes the learning effect of students unsatisfactory.The wide application of intelligent technology in online learning platform not only enriches the information level of the platform,but also realizes students’personalized learning.Therefore,the study explores strategies to improve students’concentration and enthusiasm in online learning by introducing artificial intelligence technologies such as face recognition,expression recognition,scene simulation and big data into online learning platform,so as to improve the quality of online learning.

关 键 词：智能技术 教育信息化 网络在线学习 网络教育 

分 类 号：G434[文化科学—教育学]