الفهرس 
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Abstract
This chapter proposed an intelligent educational data mining system called IEDM-SL for teaching English language for the slow Learner students. The proposed system is achieved through implemented four phases. These phases were Phase:1 (development of English E-course), Phase: 2 (database design & implementation), Phase: 3 (collecting data) and Phase:4 (Applying Mining technique). Each phase was presented in detailed inside the paper. ASP.NET and C# with SQL database language plus the “WEKA” data mining tool were used for the implementation of these four phases. The results showed that the proposed system is a very helpful in defining the patterns of better achievement in order to help the slow learners in enhancing their academic achievements. For teaching English e-course in specific, 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 schools of slow learners: where they can guide slow learners to achieve higher educational and academic achievements and also, save effort and time for the teachers of slow learners themselves.