Information Quality – A Challenge for e-Learning 3.0
Abstract: The transition from the “read” web to the “read/write” web (e-Learning 2.0), and also to the “read/write/collaborate” web, which is the e-learning 3.0 (Edutainment), the features of user-centric web, put the emphasis on the importance of quality information in e-learning systems. Many conceptual models to assess the information quality have been proposed: A Conceptual Framework for Data Quality – CFDQ (Wang & Strong), Klein’s model, PSP/IQ model, etc. Starting from the Wang& Strong’s model, Alkhattabi, Neagu and Cullen proposed a Framework based on a Web-mining approach. Despite the importance of quality evaluation of the content in e-learning systems, there is still work to be done in order to reach a consensus related to the methods and metrics for evaluation of quality information (IQ) and the evaluation standards to be used in e-learning 3.0 generation.
Keywords: e-learning, web 2.0, information quality, conceptual models
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