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.
@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.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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