IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS)

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ISSN 2321-5992

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An Intelligent Educational Data Mining Classification Model for Teaching English for Slow Learner Students, Authors : Thakaa Z. Mohammad, AbeerM.Mahmoud, El-Sayed M. El-Horbart, Mohamed I.Roushdy and Abdel-Badeeh M. Salem,IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS) ,http://www.ipasj.org/IIJCS/IIJCS.htm

Volume & Issue no: Volume 2, Issue 8, August 2014


Title:
An Intelligent Educational Data Mining Classification Model for Teaching English for Slow Learner Students
Author Name:
Thakaa Z. Mohammad, AbeerM.Mahmoud, El-Sayed M. El-Horbart, Mohamed I.Roushdy and Abdel-Badeeh M. Salem
Abstract:
ABSTRACT The educational data mining is an emerging interdisciplinary field. Therefore, it is deeply connected to a number of research areas containing adaptive hypermedia, intelligent and adaptive web-based educational systems, intelligent tutoring systems, and other online courses mining systems. In addition, its applications demand taking into consideration the academic aspects of the system and the learner background and classification. The slow learners’ students suffer from low rate of understanding and they are considered a sub branch of disability students who need special models of teaching and hence special models of evaluation. This paper presents a study on building an intelligent educational data mining classification model that is designed for teaching English for slow learner’s students in order to obtain the most effective learning pattern and achieve an improvement in their performance. The proposed system is achieved through implemented four main phases. These are Phase:1 (development of English E-course), Phase: 2 (database design & implementation), Phase: 3 (collecting data) and Phase:4 (Applying Mining technique). For teaching English e-course, the results showed that the student who followed the pattern (Reading- Writing – Speaking – Grammar) reached the highest academic achievement’s rates, (79.5%.and above). Thus the proposed IEDM-SL system can be significance for helping the slow learners and also, save effort and time for the teachers of slow learners. KEYWORDS – Data mining, E-learning, Classification, Slow learners, English curriculum
Cite this article:
Thakaa Z. Mohammad, AbeerM.Mahmoud, El-Sayed M. El-Horbart, Mohamed I.Roushdy and Abdel-Badeeh M. Salem , " An Intelligent Educational Data Mining Classification Model for Teaching English for Slow Learner Students " , IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS), Volume 2, Issue 8, August 2014 , pp. 006-015 , ISSN 2321-5992.
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