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A PROTOTYPE DECISION SUPPORT SYSTEM FOR OPTIMIZING THE EFFECTIVENESS OF ELEARNING IN EDUCATIONAL INSTITUTIONS

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dc.contributor.author Abu-Naser, Samy S.
dc.contributor.author Almasri, Abdelbaset
dc.contributor.author Abu Sultan, Yousef S.
dc.contributor.author Zaqout, Ihab S.
dc.date.accessioned 2019-05-31T17:26:25Z
dc.date.accessioned 7/28/2011
dc.date.accessioned 7/28/2011
dc.date.available 2019-05-31T17:26:25Z
dc.date.available 7/28/2011
dc.date.issued 2011
dc.identifier.citation International Journal of Data Mining and Knowledge Management Process (IJDKP),1(4), pp. 1-13 en_US
dc.identifier.uri http://dstore.alazhar.edu.ps/xmlui/handle/123456789/427
dc.description.abstract In this paper, a prototype of a Decision Support System (DSS) is proposed for providing the knowledge for optimizing the newly adopted e-learning education strategy in educational institutions. If an educational institution adopted e-learning as a new strategy, it should undertake a preliminary evaluation to determine the percentage of success and areas of weakness of this strategy. If this evaluation is done manually, it would not be an easy task to do and would not provide knowledge about all pitfall symptoms. The proposed DSS is based on exploration (mining) of knowledge from large amounts of data yielded from the operating the institution to its business. This knowledge can be used to guide and optimize any new business strategy implemented by the institution. The proposed DSS involves Database engine, Data Mining engine and Artificial Intelligence engine. All these engines work together in order to extract the knowledge necessary to improve the effectiveness of any strategy, including e-learning en_US
dc.language.iso en_US en_US
dc.subject DSS en_US
dc.subject E-learning, knowledge en_US
dc.subject Database en_US
dc.subject Data Mining en_US
dc.subject Artificial Intelligence en_US
dc.title A PROTOTYPE DECISION SUPPORT SYSTEM FOR OPTIMIZING THE EFFECTIVENESS OF ELEARNING IN EDUCATIONAL INSTITUTIONS en_US
dc.type Article en_US


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