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Construction of Automated Concept Map of Learning Using Hashing Technique

机译:散列技术建设自动概念图

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It has been observed that the growth of communication technologies has led to increased use of computer networks in dissemination of education. An important application area in this perspective where there has been a lot of research is Intelligent Tutoring Systems (ITS). ITS aid the process of learning and evaluation of attainments without human intervention. However ITS are unable to pin point the exact area in a lesson plan where the student is deficient in. In this context, several researchers have used concept maps to perform this identification. However it is time consuming for the educators to construct a concept map of learning manually. Several data mining algorithms have thus been used by the researchers to generate association rules which are used for automated concept map construction. This study proposes automated construction of concept maps using Direct Hashing and Pruning algorithm. The proposed approach was tested with a set of students enrolled in an introductory Java course in some undergraduate colleges in Kolkata and was found to diagnose their learning problems satisfactorily.
机译:已经观察到,通信技术的增长导致了利用计算机网络传播教育。在这个角度来看,这是一个重要的应用领域,其中有很多研究是智能辅导系统(其)。它有助于学习和评估actainment的过程,没有人为干预。然而,它无法将学生缺乏的课程计划中的确切区域点。在这种情况下,一些研究人员已经使用了概念地图来执行此识别。然而,教育工作者手动构建学习概念地图是耗时的。因此,研究人员使用了几种数据挖掘算法来生成用于自动概念地图结构的关联规则。本研究提出了使用直接散列和修剪算法自动构建概念图。拟议的方法是用一套学生进行了测试,该学生参加了在加尔各答的一些本科学院的入门Java课程中,被发现令人满意地诊断他们的学习问题。

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