首页> 外文会议>Virtual Environments, Human-Computer Interfaces and Measurements Systems, 2009. VECIMS '09 >A practical approach for constructing an adaptive tutoring model based on concept map
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A practical approach for constructing an adaptive tutoring model based on concept map

机译:基于概念图的自适应教学模型构建的实用方法

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The study proposes a complete and practical adaptive tutoring learning model (ATM). ATM calculates every learners score of each concept and indicates his/her misconceptions. Then apply fuzzy association rule mining approach to find out all the prerequisite relationship between concepts and concepts, and to construct a concept map. Based on the constructed concept map and misconceptions, ATM determines his/her main learning barriers. Finally, for solving learning barriers, ATM will suggest the learner an adaptive learning material by analyzing the ratios of the concepts contained in each material.
机译:该研究提出了一个完整而实用的自适应补习学习模型(ATM)。 ATM计算每个学习者对每个概念的分数,并指出他/她的误解。然后运用模糊关联规则挖掘方法找出概念与概念之间的所有前提关系,并构建概念图。基于构建的概念图和误解,ATM确定他/她的主要学习障碍。最后,为了解决学习障碍,ATM将通过分析每种材料中所包含概念的比率,向学习者建议一种自适应学习材料。

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