融合用户画像的在线学习伙伴推荐方法研究  

Research on Online Learning Partner Recommendation Method Based on User Portrait Fusion

作　　者：林萍萍 杨传斌 LIN Pingping;YANG Chuanbin(School of Education,Zhejiang Normal University,Jinhua Zhejiang 321004,China;Information Office,Zhejiang Normal University,Jinhua Zhejiang 321004,China)

机构地区：[1]浙江师范大学教育学院,浙江金华321004 [2]浙江师范大学信息化办公室,浙江金华321004

出　　处：《佳木斯大学学报（自然科学版）》2024年第1期122-124,147,共4页Journal of Jiamusi University：Natural Science Edition

基　　金：教育部人文社会科学研究规划基金项目(18YJA870015)。

摘　　要：融合用户画像为学习者推荐学习伙伴,有助于解决在线学习者的孤独感问题,提高学习者的参与度和忠诚度。分析学习者特征,从基本信息、学习准备、学习风格、学习行为四个方面设计画像标签,采集网络教学平台数据,进行建模处理,利用相似度区分相似、互补学习者画像,从而为学习者推荐同、异质学习伙伴。实验结果验证了学习者画像和推荐方法的可行性。融合学习者画像推荐学习伙伴的方法更具个性化、动态化等特点,更适合网络教学环境。Integrating user portraits to recommend learning partners for learners can help solve the loneliness problem of online learners and improve learners'participation and loyalty.Analyze the characteristics of learners,design portrait labels from four aspects:basic information,learning preparation,learning style,and learning behavior,collect data from the online teaching platform,perform modeling processing,and use similarity to distinguish similar and complementary learner portraits,so as to recommend the same and heterogeneous learning partners for learners.The experimental results verify the feasibility of the learner portrait and recommendation method.The method of integrating learner portraits to recommend learning partners is more personalized and dynamic,and is more suitable for online teaching environment.

关 键 词：用户画像 学习伙伴推荐 在线学习 协作学习 

分 类 号：G434[文化科学—教育学] TP391.3[文化科学—教育技术学]