为远程学习者提供基于3d_SLN地图的个性化学习路径

Juan Yang, Zhixing Huang, Hongtao Liu
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引用次数: 1

摘要

认知定向障碍问题是当前基于web的智能学习系统中由于自学习原理导致的主要问题之一。为学习者提供个性化的学习路径可以有效地解决这一问题。在本文中,我们根据学习者不同的学习风格,为学习者提供基于三维SLN (3d_SLN)映射的学习路径。3d_SLN map是SLN的改进版本,它在推荐学习路径方面的推理能力与本体一样强,在构建知识关系方面更加灵活。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Provide Distant Learners with the Personalized Learning Paths Based on 3d_SLN Map
Cognition disorientation problem is one of the major problems caused by the self-learning principle in the current web based intelligent learning systems. Providing learners with the personalized learning path can effectively smooth over the problem. In this paper, we provide learners with learning paths which is based on the 3 dimensioned SLN (3d_SLN) map according to their different learning styles. 3d_SLN map is a modified version of SLN whose inferring ability is as strong as ontology for learning path recommendation while more flexible in knowledge relation constructing.
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