吉林大学学报（信息科学版）2026，Vol.44Issue(2)：383-391,9.
融入在线学习自我效能感的多维度学习者模型构建及推荐
Construction and Recommendation of a Multi-Dimensional Learner Model Incorporating Online Learning Self-Efficacy
摘要
Abstract
The learner model is an important foundation for effectively recommending personalized learning resources.Although it has widely integrated multiple dimensions of learner characteristics,it has not incorporated online learning self-efficacy,a key indicator for measuring learners' psychology and learning motivation.Therefore,self-efficacy of online learning is introduced and a comprehensive evaluation method that combines static and dynamic approaches is proposed,using scales and a series of designed behavioral indicators to achieve a comprehensive assessment of online learning self-efficacy.Diversified features such as learning interests,current levels,and learning styles is integrated to construct a multi-dimensional learner model and an improved neural collaborative filtering method that incorporates the learner model is designed.Experimental results show that the multi-dimensional learner model has significantly better performance in recommendation methods than the comparison methods that do not consider this factor,providing a new perspective for the construction of learner models and enabling more effective personalized and precise learning resource recommendations for learners.关键词
在线学习自我效能感/学习者模型/学习资源推荐/神经协同过滤推荐Key words
online learning self-efficacy/learner model/recommendation of learning resources/neural collaborative filtering分类
信息技术与安全科学引用本文复制引用
袁满,宋洁,袁靖舒..融入在线学习自我效能感的多维度学习者模型构建及推荐[J].吉林大学学报（信息科学版）,2026,44(2):383-391,9.基金项目
海南省哲学社会科学规划课题基金资助项目(HNSK(QN)24-53) （HNSK(QN）
