个性化试题推荐研究综述

Summary of Research on Personalized Test Recommendation

个性化试题推荐是在线学习教学改革中的一个重要研究议题,其目标是基于在线学习平台向学习者推送适切的试题帮助学习者进行知识巩固、提高学习效能。为此,针对试题推荐研究现状,首先设计了个性化试题推荐通用框架,然后从学习者建模、试题建模、推荐算法三个方面对当前个性化试题推荐相关研究进行了综述,最后分析了个性化试题推荐存在的不足以及对未来发展方向进行了展望。

Personalized test recommendation is an important research topic in online learning teaching reform.Its goal is to push appropriate test questions to learners based on online learning platform to help learners consolidate knowledge and improve learning efficiency.To this end,according to the research status of test recommendation,a general framework of personalized test recommendation is designed at first;then it summarizes the current research on personalized test recommendation from three aspects:learner modeling,test question modeling and recommendation algorithm.Finally,the paper analyzes the current problems and the future development direction of personalized test recommendation.