Collaborative e-learning systems using semantic data interoperability


In a collaborative e-learning content management environment, the heterogeneity of data in different learning management systems presents many difficulties for data sharing; some of these difficulties are how to integrate data, produce results for user queries, and find the correct data from heterogeneous learning management systems. Over the last few years, numerous e-learning system architectures have been proposed; however, issues related to sharing and integrating data from different e-learning systems have been given less attention. Considering this need, this paper presents solutions for semantic data interoperability, distributed metadata management, and an agent-based query processing approach for supporting the exchange of learning content from different e-learning systems. The paper presents an empirical evaluation of the user acceptability of the proposed solutions to find qualitative measures of the users' acceptability and satisfaction; our proposed solutions resulted in high user satisfaction. © 2016 Elsevier Ltd. All rights reserved.

DOI: 10.1016/j.chb.2016.02.094

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@article{Masud2016CollaborativeES, title={Collaborative e-learning systems using semantic data interoperability}, author={Mehedi Masud}, journal={Computers in Human Behavior}, year={2016}, volume={61}, pages={127-135} }