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Content Provider | IEEE Xplore Digital Library |
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Author | Militaru, T.-L. Suciu, G. Todoran, G. |
Copyright Year | 2012 |
Description | Author affiliation: University POLITEHNICA of Bucharest, Spl. Independentei 313, 060042 Bucharest-6, Romania (Militaru, T.-L.; Suciu, G.; Todoran, G.) |
Abstract | This paper proposes a quality evaluation method for e-learning environments, using modified version of the SEEQUEL Core Quality Framework. The SEEQUEL Core Quality Framework originated from the collaboration between the e-learning Industry Group (eLIG) with a number of European expert organizations and associations, co-ordinated by the MENON Network, is a framework used to build the quality tree by selecting the quality characteristics from a list of common characteristics applicable to the whole e-learning experience. The evaluation process was done using the Online Quality Evaluation tool (www.evaluarea-calitatii.ro), an online evaluation application which was created in 2010 by Lucian Militaru in order to provide a worldwide accessible and flexible framework for quality evaluation to developers and evaluators. In the first part of this paper, the SEEQUEL Core Quality Framework is presented showing the advantage of proposed modifications. In the second part, a case study of using the modified SEEQUEL framework and Online Quality Evaluation tool to evaluate e-learning environment is presented. The final conclusion of the experiment was that the analyzed e-learning environment have a satisfactory quality. |
Starting Page | 165 |
Ending Page | 169 |
File Size | 244254 |
Page Count | 5 |
File Format | |
ISBN | 9781467312431 |
ISSN | 13342630 |
e-ISBN | 9789537044145 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-09-12 |
Publisher Place | Croatia |
Access Restriction | Subscribed |
Rights Holder | ELMAR (Electronics in Marines) |
Subject Keyword | Context evaluation Electronic learning e-learning Collaboration Europe computer assisted Materials Organizations Logic Scoring of Preferences SEEQUEL Core Quality Framework |
Content Type | Text |
Resource Type | Article |
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