计算机与数字工程2024，Vol.52Issue(1)：94-98,5.DOI:10.3969/j.issn.1672-9722.2024.01.014
基于学习风格的个性化自适应资源推荐算法研究
Research on Personalized Adaptive Resource Recommendation Algorithm Based on Learning Style
摘要
Abstract
Personalized adaptive resource recommendation is a learner-centered process,which is based on artificial intelli-gence and big data technology,simulated human thinking to carry out learning resource recommendation.In this paper,the learner model and resource model are constructed separately on the basis of analyzing the learning styles of learners and resources,the re-search of recommendation algorithms on personalized and adaptive resource recommendation based on learning style filtering,col-laborative filtering and association rules,which used to carry out.Results show that hybrid adaptive recommendation based on learn-ing style are more in line with the personalized learning needs of learners.关键词
学习风格/自适应学习/个性化推荐Key words
learning style/adaptive learning/personalized recommendation分类
信息技术与安全科学引用本文复制引用
王浩畅,王辉,潘俊辉,Marius.Petrescu,张强..基于学习风格的个性化自适应资源推荐算法研究[J].计算机与数字工程,2024,52(1):94-98,5.基金项目
国家自然科学基金项目(编号:61402099,61702093) （编号:61402099,61702093）
黑龙江省自然科学基金项目(编号:2018003) （编号:2018003）
东北石油大学引导性创新基金项目(编号:2020YDL-18) （编号:2020YDL-18）
东北石油大学重点建设课程《Data Mining》资助. （）
