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UX based adaptive e-learning hypermedia system (U-AEHS): an integrative user model approach

机译:基于UX的自适应电子学习超媒体系统(U-AEHS):一种集成的用户模型方法

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摘要

Adaptive E-Learning Hypermedia System (AEHS) has been known as a method to provide the optimized learning for each learner's unique characteristics. To this end, learning system developers configure the general characteristic elements of learners in AEHS and analyze learning functions customized for each feature. After then, they develop system to provide learning contents suitable for each learner through the analyzed data thereof. However, there are various learning functions in learning system. Moreover, each individual learner has a different set of characteristic elements. Therefore, it is very difficult to establish application criteria. In particular, it is imperative to have all profile data of learners in e-learning system in order to provide customized learning for each individual learner. Also, it is required to select and provide adequate learning contents by analyzing accurately necessary elements for learning. However, it is very difficult to analyze and determine what learning is necessary for learners and also which learning process is adequate for learners. In this regard, this study proposed Adaptive E-Learning Hypermedia System (AEHS) that leveraged UX (user experience) to provide optimal learning process customized for learners in e-learning system. The basic data model of UX leveraged user profile based on learning style. Learning style for learning has a large number of elements. Thus, this system defined those elements that could reflect learner characteristics from human factors. After then, this study profiled based on the actual data of learners for each characteristic. In this way, this system analyzed accurately which learning would be necessary for learners. In the end, this system proposed required learning contents for learners when learners selected learning based thereon.
机译:自适应电子学习超媒体系统(AEHS)是一种为每个学习者的独特特征提供优化学习的方法。为此,学习系统开发人员在AEHS中配置学习者的一般特征元素,并分析针对每种功能定制的学习功能。之后,他们开发系统以通过其分析数据提供适合每个学习者的学习内容。但是,学习系统中有多种学习功能。此外,每个学习者都有一组不同的特征元素。因此,很难建立应用标准。特别是,必须在电子学习系统中拥有学习者的所有资料数据,以便为每个学习者提供定制的学习。另外,需要通过准确地分析学习的必要要素来选择并提供适当的学习内容。但是,很难分析和确定学习者必须进行哪些学习,以及哪种学习过程对于学习者而言是足够的。在这方面,本研究提出了一种自适应电子学习超媒体系统(AEHS),该系统利用UX(用户体验)来为电子学习系统中的学习者提供量身定制的最佳学习过程。 UX的基本数据模型基于学习风格利用了用户配置文件。学习风格对于学习有很多要素。因此,该系统定义了那些可以从人为因素反映学习者特征的要素。之后,本研究根据学习者针对每个特征的实际数据进行了介绍。通过这种方式,该系统准确地分析了学习者需要进行哪些学习。最后,当学习者选择基于学习的学习内容时,该系统提出了学习者需要的学习内容。

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