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Delivery of learning knowledge objects using fuzzy clustering

机译：使用模糊聚类提供学习知识对象

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摘要

e-Learning industry is rapidly changing and the current learning trends are based on personalized, social and mobile learning, content reusability, cloud-based and talent management. The learning systems have attained a significant growth catering to the needs of a wide range of learners, having different approaches and styles of learning. Objects delivered by these systems should provide a variety of learning content to satisfy different learners and should also have a pedagogical value than simple course content to empower learning. The Knowledge Objects of Knowledge Management Systems can be combined and delivered with existing Learning Objects of Learning Management System to provide better and more holistic user experience. Choosing a suitable object in accordance with learner category is a complex task. The paper encompasses data mining approach, fuzzy clustering technique to combine Learning and Knowledge objects based on attributes of metadata. These objects are further mapped with various learning styles and an appropriate set of objects are delivered to the learners. Thus, a personalized and more authentic learning experience is achieved emphasizing the content reusability.
机译：电子学习行业正在迅速变化，当前的学习趋势基于个性化，社交和移动学习，内容可重用性，基于云的管理和人才管理。学习系统已经取得了长足的发展，可以满足各种学习者的需求，具有不同的学习方法和学习风格。这些系统提供的对象应提供各种学习内容，以满足不同的学习者的需要，并且比简单的课程内容具有教学价值，以增强学习能力。知识管理系统的知识对象可以与学习管理系统的现有学习对象结合并交付，以提供更好，更全面的用户体验。根据学习者类别选择合适的对象是一项复杂的任务。本文包括数据挖掘方法，基于元数据属性将学习和知识对象组合在一起的模糊聚类技术。这些对象将进一步映射为各种学习风格，并将一组适当的对象交付给学习者。因此，获得了强调内容可重用性的个性化且更真实的学习体验。

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