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

机译:社会个性化自适应电子学习环境评估: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:适应适应性以及协作和网络的社交可取性带来了改善电子学习体验的巨大潜力。但是,对上一项工作的审查表明目前的电子学习系统仅略微探索了社会功能和适应技术的整合。因此,这项研究的整体目标是通过评估为培养社会个性化适应性的电子学习经验而开发的系统来解决这一差距。我们基于适应性教育超媒体和社会电子学习的概念,开发了我们的第一个原型系统,Topolor。我们还对不同观点来说,对原型系统进行评估进行了实验案例研究。结果表明,最终用户的满意度很高。本文报告了最终用户的角度来评估结果,并将我们的方法推广到基于组件的评估框架。

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