基于概念的模糊自适应电子学习

M. Duhayyim, P. Newbury
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引用次数: 8

摘要

本研究旨在测试一个有效的自适应电子学习系统,该系统使用彩色概念图来显示学习者对主题中每个概念的知识水平。使用模糊逻辑系统来评估学习者对领域中每个概念的知识水平,并生成学习材料的排名概念列表,以解决学习者理解中的弱点。该系统将通过在系统用于学习之前的初始预测试和使用学习系统后的后测试来获取学习者对概念理解的信息。在学习过程中使用模糊逻辑系统生成加权概念图。本研究的目的是为了证明这种提出的新颖的适应电子学习系统将提高学习者的表现和理解。此外,本研究的目的是提高参与者的整体学习水平和有效性,通过提供一个彩色的理解概念图,然后是学习材料的概念排序列表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Concept-based and Fuzzy Adaptive E-learning
This study aims to test an effective adaptive e-learning system that uses a coloured concept map to show the learner's knowledge level for each concept in the topic. A fuzzy logic system is used to evaluate the learner's knowledge level for each concept in the domain and produce a ranked concept list of learning materials to address weaknesses in the learner's understanding. This system will obtain information on a learner's understanding of concepts by an initial pre-test before the system is used for learning and a post-test after using the learning system. A fuzzy logic system is used to produce a weighted concept map during the learning process. The aim of this research is to prove that such a proposed novel adapted e-learning system will enhance a learner's performance and understanding. In addition, this research aims to increase participants' overall learning level and effectiveness by providing a coloured concept map of understanding followed by a ranked concepts list of learning materials.
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