基于数字资源推荐的自主学习效果评价研究  

Evaluation of Independent Learning Effect Based on Digital Resource Recommendation

作　　者：闫晶[1] 宋昊玲 张先艳 YAN Jing;SONG Haoling;ZHANG Xianyan(School of Economics and Management,Northeast Electric Power University,Jilin City 132012,China)

机构地区：[1]东北电力大学经济管理学院,吉林吉林132012

出　　处：《吉林化工学院学报》2022年第6期24-27,共4页Journal of Jilin Institute of Chemical Technology

基　　金：吉林省高教学会科研课题(JGJX2020D98)。

摘　　要：随着数字资源的急速增加,学习者从海量信息中筛选出有用信息的时间和成本也随之增大。通过构建基于内容和协同过滤的数字资源推荐模型,提升数字资源向学习者推荐的效率和准确性。对使用者的学习效果从学习动机、自我效能、目标设定和环境因素四个维度,运用层次分析法,分析各指标对自主学习效果的重要程度并对数字资源推荐模型。With the rapid increase of digital resources,the time and cost for learners to filter out useful information from massive information also increase.By constructing a content-based and collaborative filtering digital resource recommendation model,we can improve the efficiency and accuracy of digital resource recommendation to learners.Then,from the four dimensions of learning motivation,self-efficacy,goal setting and environmental factors,using analytic hierarchy process,this paper analyzes the importance of each index to the effect of autonomous learning,and recommends the model of digital resources.

关 键 词：数字资源推荐 自主学习效果 层次分析法 

分 类 号：G642[文化科学—高等教育学]