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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