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Zaiane O., Bulding a Recommender Agent for e_Learning Systems, in proceedings of the International Conference on Computers in Educational, 2002, PP.55. Abstract Understanding the factors that lead to success (or failure) of students at tests is an interesting and challenging problem. related concepts, analysis of the success factors behind tests may help understand and potentially improve academic achievement.In this research, basides a glance at main features of effective executive dashboards,the effort is to a case study is conducted on the database Azad & state university in Qom city in the center of Iran to predict collegian’ improvement study . In this research clustering is done by k-means and With using of SSE the optimal number of clusters is determined.Therefore,the optimal number of clusters for collegian is four clusters and then clusters with Prediction methods Including neural network and decision tree C5 and finally the used results of this methods,find the indicators.these indicators should be exposed clearly and increasing knowledge in a single dashboard.
