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Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities

机译:整合学习方式和自适应电子学习系统:当前的发展,问题和机遇

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Learning styles which refer to students' preferred ways to learn can play an important role in adaptive e-learning systems. With the knowledge of different styles, the system can offer valuable advice and instructions to students and teachers to optimise students' learning process. Moreover, e-leaning system which allows computerised and statistical algorithms opens the opportunity to overcome drawbacks of the traditional detection method that uses mainly questionnaire. These appealing reasons have led to a growing number of researches looking into the integration of learning styles and adaptive learning system. This paper, by reviewing 51 studies, delves deeply into different parts of the integration process. It captures a variety of aspects from learning styles theories selection in e-learning environment, online learning styles predictors, automatic learning styles classification to numerous learning styles applications. The results offer insights into different developments, achievements and open problems in the field. Based on these findings, the paper also provides discussion, recommendations and guidelines for future researches. (C) 2015 Elsevier Ltd. All rights reserved.
机译:涉及学生偏爱的学习方式的学习方式可以在自适应电子学习系统中发挥重要作用。利用不同风格的知识,该系统可以为学生和老师提供宝贵的建议和指导,以优化学生的学习过程。此外,允许计算机化和统计算法的电子学习系统为克服主要使用问卷的传统检测方法的缺陷提供了机会。这些吸引人的原因导致了越来越多的研究将学习风格与自适应学习系统集成在一起。本文通过回顾51项研究,深入研究了整合过程的不同部分。它涵盖了各个方面,从电子学习环境中的学习风格理论选择,在线学习风格预测变量,自动学习风格分类到众多学习风格应用程序。结果提供了对该领域不同发展,成就和未解决问题的见解。基于这些发现,本文还为将来的研究提供了讨论,建议和指南。 (C)2015 Elsevier Ltd.保留所有权利。

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