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A Flexible Mechanism for Providing Adaptivity Based on Learning Styles in Learning Management Systems

机译:灵活的机制在学习管理系统学习方式提供基于适应性

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While todayȁ9;s learning management systems (LMSs) provide lot of support for teachers to assist them in holding online courses, they typically do not consider studentsȁ9; individual differences in the composition and structure of courses. In this paper, we introduce a mechanism for extending LMSsȁ9; functionality to provide learners with courses that fit their individual learning styles, using adaptive sorting and adaptive annotation in order to highlight the learning objects (LOs) that support studentsȁ9; learning process the best. The mechanism enables teachers to add adaptivity to their already existing courses, using a flexible course structure in order to avoid limiting the richness of the learning resources and materials. Besides being flexible to teachersȁ9; needs, the adaptive mechanism aims at asking teachers for as little as possible additional effort when using it, requiring teachers only to choose the corresponding type of LO when creating an LO in the authoring tool of the LMS.
机译:尽管当今的9学业学习管理系统(LMS)为教师提供了很多支持,以帮助他们举办在线课程,但他们通常不考虑学生9。课程组成和结构方面的个体差异。在本文中,我们介绍了一种扩展LMSsȁ9的机制。通过自适应排序和自适应注释为学习者提供适合其个人学习风格的课程的功能,以突出显示支持学生9的学习对象(LO);学习过程最好。该机制使教师能够使用灵活的课程结构来增加其已有课程的适应性,以避免限制学习资源和材料的丰富性。除了对老师ȁ9具有灵活性外;需要时,自适应机制的目的是在使用时要求教师付出尽可能少的额外努力,要求教师在LMS的创作工具中创建LO时仅选择相应的LO类型。

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