A new hybrid approach for constructing the concept map based on fuzzy prerequisite relationships

Ali Aajli, K. Afdel
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引用次数: 3

Abstract

In recent years, adaptive learning systems rely increasingly on concept maps to customize the educational logic developed in their courses. Most approaches do not take into account the possibility of combining the concept maps predefined by experts of field and those developed automatically using the Fuzzy Sets Theory. In this article, we present a hybrid approach using on the one hand the feedback from experts of domain to select, prioritize relevant concepts and create prerequisite relationships to get the initial concept map, on the other hand we use the fuzzy logic to measure relevance degree of all relationships existing in this concept map, these links are considered as fuzzy relationships. With this approach we got two types of prerequisite relationships between concepts, the first type can be classified as relationships correctly established by the expert. These relationships must be kept in the final concept map. The second type can be considered as relationships incorrectly established by the expert, because the concepts involved in these relationships are independent, in this case these relations must be deleted or substituted with the inverse of the original relations, or because the items used in evaluations of these concepts are inappropriate and must be reviewed.
一种基于模糊前提关系的概念图混合构造方法
近年来,自适应学习系统越来越依赖于概念图来定制课程中开发的教育逻辑。大多数方法没有考虑到领域专家预定义的概念图与使用模糊集理论自动开发的概念图相结合的可能性。在本文中,我们提出了一种混合方法,一方面利用领域专家的反馈来选择相关概念,对相关概念进行优先排序,并创建先决关系,从而得到初始概念图,另一方面我们利用模糊逻辑来度量该概念图中存在的所有关系的关联度,这些联系被认为是模糊关系。通过这种方法,我们得到了两类概念之间的前提关系,第一类可以归类为专家正确建立的关系。这些关系必须保留在最终的概念图中。第二种类型可以被认为是专家错误建立的关系,因为这些关系中涉及的概念是独立的,在这种情况下,这些关系必须被删除或替换为原始关系的逆,或者因为在评估这些概念时使用的项目是不合适的,必须进行审查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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