Increasing the Adaptivity of an Intelligent Tutoring System with Educational Data Mining: A System Overview
Increasing the Adaptivity of an Intelligent Tutoring System with Educational Data Mining: A System Overview
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DOI：
10.3991/ijet.v11i03.5103
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发表时间：
2016-01-01
影响因子：
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通讯作者：
Slavuj, V.
中科院分区：
文献类型：
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作者：
Jugo, I.;Kovacic, B.;Slavuj, V.
智能辅导系统(ITSS)是一种自适应的电子学习系统，通常是为教授定义明确的领域(如数学)而创建的。他们的目标是引导学生朝着预定的目标前进，比如完成一堂课、完成一项任务或掌握一项技能。在定义不明确的领域中，定义目标和指导学生更加复杂，在这些领域中，专家定义知识领域的模型，或者学生可以自由地沿着自己的道路走过。在本文中，我们概述了我们的系统的体系结构，它集成了ITS和数据挖掘工具，并执行了许多教育数据挖掘过程，以提高ITS的适应性，从而提高ITS的效率。
Intelligent Tutoring Systems (ITSs) are inherently adaptive e-learning systems usually created for teaching well-defined domains (e.g., mathematics). Their objective is to guide the student towards a predefined goal such as completing a lesson, task, or mastering a skill. Defining goals and guiding students is more complex in ill-defined domains where the expert defines the model of the knowledge domain or the students have freedom to follow their own path through it. In this paper we present an overview of our system's architecture that integrates the ITS with data mining tools and performs a number of educational data mining processes to increase the adaptivity and, consequently, the efficiency of the ITS.