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Volume & Issue no: Volume 3, Issue 4, July - August 2014

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Title:
Teaching the Slow learner Students with and without E-learning Environment
Author Name:
Thakaa Z. Mohammad, AbeerM.Mahmoud, El-Sayed M. El-Horbart, Mohamed I.Roushdy and Abdel-Badeeh M. Salem
Abstract:
Abstract: The applications of the data mining in the recent years have been improved in order to classify and mine the characteristics and the records of the learners in the environment of E-learning. The main aim of this study is to help the learners and predicting the results of their studying; which can be simply achieved by finding the effects of elearning systems as well as the effect of traditional on the student by using classification techniques of data mining.Another goal in this paper is to discover the difference between E-learning and traditional learning by developing an online learning system and apply it to the student and exclude the best pattern with the results. Furthermore, to discover the result of the traditional learning many teachers have been asked about the student patterns and then these patterns have been collected and analyzed using the Weka program. After that the traditional learning results have been compared with the E-learning patterns to discover if the data mining techniques are effective in predicting the results of learners studying. Keywords:Data mining; classification;clustering; education; application of data mining; traditional learning; E-learning
Cite this article:
Thakaa Z. Mohammad, AbeerM.Mahmoud, El-Sayed M. El-Horbart, Mohamed I.Roushdy and Abdel-Badeeh M. Salem , " Teaching the Slow learner Students with and without E-learning Environment" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 3, Issue 4, July - August 2014 , pp. 128-133 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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