基于知识点的个性化习题推荐及其在医学计算机应用基础课程教学中的应用

A Personalized Exercises Recommendation System based on Knowledge Points and Its Application in “Basic of Medical Computer Application”

个性化习题推荐是教育领域重要的研究课题。本文针对高校教学中习题针对性不强,学习效率低下的问题,结合高校课程知识点体系特点,考虑知识点的权重,提出了一种基于知识点的个性化习题推荐方法,通过已做习题分析学生对知识点的掌握程度,获取学生薄弱知识点集,进而形成推荐习题集。医学计算机应用基础课程教学的应用证明,基于知识点的个性化习题推荐可以提高学生学习效率和教学效果。

Personalized exercises recommendation for students is a significant research in the domain of education. Aiming at the low pertinence and efficiency problem in university education, a personalized exercises recommendation algorithm is proposed based on knowledge points and their weights. The algorithm acquires students’ weakness of knowledge mastery by calculating knowledge losing-rate, and then recommends appropriate exercises for the targeted students. The teaching practice inBasic of Medical Computer Applicationindicates that the personalized exercises recommendation can improve effects and efficiency of teaching and learning.