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首页> 外文会议>IEEE International Conference on Advanced Learning Technologies >Investigating the Effectiveness of an Advanced Adaptive Mechanism for Considering Learning Styles in Learning Management Systems
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Investigating the Effectiveness of an Advanced Adaptive Mechanism for Considering Learning Styles in Learning Management Systems

机译：调查高级自适应机制的有效性，以考虑学习管理系统学习方式

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Blended and online learning becomes more and more popular and learning management systems (LMSs) are used by many educational institutions to host such blended or online courses. However, such LMS typically do not adapt to students' individual characteristics and provide each student with the same content and presentation. Such one-size-fits-all approach does not fit most students particularly well and can lead to low student performance and satisfaction. In this paper, we present a study to evaluate an advanced adaptive mechanism that extends LMSs with adaptive functionality to automatically provide students with courses that fit their learning styles. The results of this study showed two significant benefits of the adaptive mechanism for students: receiving higher grades on adaptive lessons than on non-adaptive ones while spending a similar amount of time on both, and spending less time on adaptive lessons than on non-adaptive ones while receiving on average the same grades. Based on these results, the proposed adaptive mechanism can be seen as an effective extension to LMSs in order to support students in learning.
机译：混合和在线学习变得越来越受欢迎，并且许多教育机构使用了更受欢迎和学习管理系统（LMSS），以举办此类混合或在线课程。但是，此类LMS通常不适应学生的个人特征，并为每个学生提供相同的内容和呈现。这种单尺寸适合的方法并不符合大多数学生的尤其良好，可以导致学生表现和满意度低。在本文中，我们提出了一项研究来评估一个先进的自适应机制，它将LMS扩展到自适应功能，以自动为学生提供适合其学习风格的课程。这项研究的结果表明，学生的自适应机制的显着效益：在自适应课上接收更高的等级，而不是在非自适应课程中，同时在两者上花费相似的时间，并在适应性课上花费的时间比非适应性更少在平均接收相同等级的同时。基于这些结果，所提出的自适应机制可以被视为LMS的有效延伸，以支持学生的学习。

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