License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.ICCSW.2013.103
URN: urn:nbn:de:0030-drops-42789
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2013/4278/
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Shi, Lei ; Awan, Malik Shahzad ; Cristea, Alexandra I.

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

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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.

BibTeX - Entry

@InProceedings{shi_et_al:OASIcs:2013:4278,
  author =	{Lei Shi and Malik Shahzad Awan and Alexandra I. Cristea},
  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 =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-63-7},
  ISSN =	{2190-6807},
  year =	{2013},
  volume =	{35},
  editor =	{Andrew V. Jones and Nicholas Ng},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2013/4278},
  URN =		{urn:nbn:de:0030-drops-42789},
  doi =		{10.4230/OASIcs.ICCSW.2013.103},
  annote =	{Keywords: adaptive educational hypermedia, social e-learning, evaluation}
}

Keywords: adaptive educational hypermedia, social e-learning, evaluation
Collection: 2013 Imperial College Computing Student Workshop
Issue Date: 2013
Date of publication: 14.10.2013

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