Building an Adaptive E-Learning System
Building an Adaptive E-Learning System
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DOI：
10.5220/0006326103750382
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发表时间：
2017-04
期刊：
影响因子：
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通讯作者：
C. Chrysoulas;Maria Fasli
中科院分区：
文献类型：
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作者：
C. Chrysoulas;Maria Fasli
©2017由sciitepress -科学技术出版社，Lda。版权所有。适应性学习的研究主要是基于学习风格、认知风格或学习成就等个性化信息来提高学习者的学习成就。本文基于个性化信息的两个主要来源，即学习行为和个人学习风格，提出了一种创新的自适应学习方法。为了确定学习者的初始学习风格，我们的方法采用了初始分配测试。为了更准确地反映每个学习者的学习行为，在调整主题材料时，基于先进的机器学习技术，每个学习者的互动和学习结果被彻底记录和深入分析。基于这种创新的方法，开发了一种自适应学习原型系统。
© 2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved. Research in adaptive learning is mainly focused on improving learners' learning achievements based mainly on personalization information, such as learning style, cognitive style or learning achievement. In this paper, an innovative adaptive learning approach is proposed based upon two main sources of personalization information that is, learning behaviour and personal learning style. To determine the initial learning styles of the learner, an initial assigned test is employed in our approach. In order to more precisely reflect the learning behaviours of each learner, the interactions and learning results of each learner are thoroughly recorded and in depth analysed, based on advanced machine learning techniques, when adjusting the subject materials. Based on this rather innovative approach, an adaptive learning prototype system has been developed.