A Personalized Learning Strategy Recommendation Approach for Programming Learning

文献类型： 外文期刊

第一作者： Gu, Peipei

作者： Gu, Peipei;Ma, Junxia;Deng, Lujuan;Chen, Wei;Jiang, Lan

作者机构：

关键词： Intelligent tutoring system;Learning strategy recommendation system;Learning strategy;Learning strategy model

期刊名称：DATABASE SYSTEMS FOR ADVANCED APPLICATIONS (DASFAA 2017) （ 影响因子：0.302； ）

ISSN： 0302-9743

年卷期： 2017 年 10179 卷

页码：

收录情况： SCI

摘要： Nowadays, it has been a significant problem to recommend learning strategy for different learners in programming learning projects. This paper discusses a personalized learning strategy recommendation approach to aid programming learning. In this paper, an improved design method of model learner strategies and programming learning strategy recommendation approach are presented. A reward factor is adopted to help to construct a learning strategy recommendation mechanism adaptively. The programming learning strategy recommendation system (ZZULI-PLS) is proposed based on those models to help learners learning in programming according to the actual progresses of learners. Usability tests are conducted to validate the recommendation efficiency in ZZULI-PLS system.

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