摘要
以太原开放大学学习者的学习行为数据为研究对象,通过学习分析技术预测有学习风险的群体或个人,对他们进行学习干预,通过实验来验证干预方案的实施成效,以帮助学习者更好地完成学业,提升学习效率和质量,助力开放教育高质量发展。
Taking the learners at Taiyuan Open University as the research object,this paper analyzes their learning behaviors,predicts groups or individuals at the risk of learning by learning analysis technology and carries out learning interventions on them.Through experiments,the intervention scheme is proved to be effective in helping learners better complete their studies and improve the efficiency and quality of learning,which contributes to the high-quality development of open education.
作者
齐悦
王溢琴
QI Yue;WANG Yiqin(Taiyuan Open University,Taiyuan 030024,China;Jinzhong University,Jinzhong,Shanxi 030619,China)
出处
《晋城职业技术学院学报》
2023年第6期72-76,共5页
Journal of Jincheng Institute of Technology
基金
山西省教育科学“十四五”规划2021年度一般规划课题《成人在线学习流失问题透视及干预对策实证研究》(项目编号
GH-21105)。
关键词
学习分析技术
开放教育
画像模型
学习干预
干预策略
learning analysis technology
open education
portrait model
learning intervention
intervention strategy
