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A Personalized Learning Strategy Recommendation Approach for Programming Learning

文献类型： 会议论文

第一作者： Peipei Gu

作者： Peipei Gu 1 ; Junxia Ma 1 ; Wei Chen 2 ; Lujuan Deng 1 ; Lan Jiang 3 ;

作者机构： 1.Software Engineering College, Zhengzhou University of Light Industry

2.Agricultural Information Institute, Chinese Academy of Agricultural Sciences

3.College of Computer and Information Engineering, Xinxiang University

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

会议名称： International Conference on Database Systems for Advanced Applications

主办单位：

页码： 267-274

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.

分类号： TP311.13-53

  • 相关文献

[1]A Personalized Learning Strategy Recommendation Approach for Programming Learning. Gu, Peipei,Ma, Junxia,Deng, Lujuan,Chen, Wei,Jiang, Lan. 2017

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