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

Authors Lei Shi, Malik Shahzad Awan, Alexandra I. Cristea

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Lei Shi
Malik Shahzad Awan
Alexandra I. Cristea

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Lei Shi, Malik Shahzad Awan, and Alexandra I. Cristea. Evaluation of Social Personalized Adaptive E-Learning Environments: End-User Point of View. In 2013 Imperial College Computing Student Workshop. Open Access Series in Informatics (OASIcs), Volume 35, pp. 103-110, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)


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.
  • adaptive educational hypermedia
  • social e-learning
  • evaluation


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