摘要
通过分析开放大学学习评价现状,结合大数据技术框架和“学本评估”理论,从在线学习过程观测点活动记录、数据处理与存储、数据分类与整合、数据分析、在线学习过程评价、个性化反馈等6个方面,提出了基于大数据理念的开放大学个性化学习的评价系统和实施流程,以期为开放教育评价研究提供参考,为推动终身学习评价提供新的视角。
By analyzing the current situation of learning evaluation of the Open University and combining the big data technology framework and the theory of"learning-based evaluation",the evaluation system and implementation process of personalized learning in Open University based on the concept of big data are proposed focusing on six aspects of the activity record of online learning process from the observation point,data processing and storage,data classification and integration,data analysis,online learning process evaluation and personalized feedback,which will provide reference for the evaluation of open education and a new perspective for promoting the evaluation of lifelong learning.
作者
陈翀
闫乾勋
Chen Chong;Yan Qianxun(Jiangsu Open University)
出处
《终身教育研究》
2023年第5期41-48,共8页
Lifelong Education Research
基金
江苏省高等教育教改研究项目重点课题“‘互联网+’背景下网络考试改革研究”(2019JSJG604)。
关键词
学习评价
大数据
学本评估
开放教育
开放大学
终身教育
learning evaluation
big data
learning-oriented assessment
open education
open university
lifelong education
