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

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

Published in: OASIcs, Volume 35, 2013 Imperial College Computing Student Workshop


Abstract
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.

Cite as

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)


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@InProceedings{shi_et_al:OASIcs.ICCSW.2013.103,
  author =	{Shi, Lei and Awan, Malik Shahzad and Cristea, Alexandra I.},
  title =	{{Evaluation of Social Personalized Adaptive E-Learning Environments: End-User Point of View}},
  booktitle =	{2013 Imperial College Computing Student Workshop},
  pages =	{103--110},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-63-7},
  ISSN =	{2190-6807},
  year =	{2013},
  volume =	{35},
  editor =	{Jones, Andrew V. and Ng, Nicholas},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ICCSW.2013.103},
  URN =		{urn:nbn:de:0030-drops-42789},
  doi =		{10.4230/OASIcs.ICCSW.2013.103},
  annote =	{Keywords: adaptive educational hypermedia, social e-learning, evaluation}
}
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