With the wide use of online learning platforms and the rapid growth of online learning resources,the problem of"information trek"needs to be solved urgently.To solve the problem that online learning per-sonalized recommendation is dominated by single features and there are few studies on multi-dimensional learner model,based on the CELTS-11 learner model and guided by relevant theories of pedagogy,this paper conducts a detailed classification study from the perspective of learners'learning style,knowledge state,cog-nitive ability,interest preference and other multidimensional personalized characteristics.By using education-al data mining and other techniques to obtain learner feature items,a personalized multidimensional learner model is constructed.This model provides a strong basis for personalized push service of online learning.
关键词
个性化推荐/多维度学习者模型/学习风格/认知能力/知识状态
Key words
personalized recommendation/multidimensional learner model/learning style/cognitive abili-ty/state of knowledge
维普
万方数据