Fuzzy student model in InterMediActor platform

A. Kavcic
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引用次数: 7

Abstract

The paper deals with personalization of navigation in the educational content, introduced in a competence-based instructional design system InterMediActor. The system constructs an individualized navigation graph for each student and thus suggests the learning objectives the student is most prepared to attain. The navigation tools rely on the graph of dependencies between competences, and the student model. We use fuzzy set theory for dealing with uncertainty in the assessment of students: the marks of assessment tests are transformed into linguistic terms, which are assigned to linguistic variables. Fuzzy IF-THEN rules are applied to obtain the appropriate categories of competences in the navigation graph
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InterMediActor平台中的模糊学生模型
本文介绍了基于能力的教学设计系统InterMediActor在教学内容中导航的个性化设计。该系统为每个学生构建一个个性化的导航图,从而建议学生最有可能达到的学习目标。导航工具依赖于能力之间的依赖关系图和学生模型。我们使用模糊集合理论来处理学生评估中的不确定性:将评估测试的分数转换为语言术语,并将其分配给语言变量。应用模糊IF-THEN规则在导航图中获得相应的能力类别
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