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Evaluation of Social Personalized Adaptive E-Learning Environments: End-User Point of View

机译:社交个性化自适应电子学习环境的评估:最终用户的观点

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The use of adaptations, along with the social affordances of collaboration and networking, carries a great potential for improving e-learning experiences. However, the review of the previous work indicates current e-learning systems have only marginally explored the integration of social features and adaptation techniques. The overall aim of this research, therefore, is to address this gap by evaluating a system developed to foster social personalized adaptive e-learning experiences. We have developed our first prototype system, Topolor, based on the concepts of Adaptive Educational Hypermedia and Social E-Learning. We have also conducted an experimental case study for the evaluation of the prototype system from different perspectives. The results show a considerably high satisfaction of the end users. This paper reports the evaluation results from end user point of view, and generalizes our method to a component-based evaluation framework.
机译:改编的使用以及协作和网络的社会支持,为改善电子学习体验具有巨大潜力。但是,对先前工作的回顾表明,当前的电子学习系统仅少量地探索了社交功能和适应技术的集成。因此,本研究的总体目标是通过评估为促进社交个性化自适应电子学习体验而开发的系统来弥补这一差距。我们基于自适应教育超媒体和社会电子学习的概念,开发了第一个原型系统Topolor。我们还从不同的角度进行了实验案例研究,以评估原型系统。结果表明最终用户的满意度很高。本文从最终用户的角度报告了评估结果,并将我们的方法推广到基于组件的评估框架。

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