Baker R.S.,Corbet A.T. and Koedinger K.,Detecting Student Misuse of Intelligent Tutoring Systems,in proceedings of the International Conference on Intelligent Tutoring Systems, Maceio, Brazil,2004, PP.531_540. Berry, Michael J.A, and Gordons.Linoff.Data Mining Techniques for Marketing Sales and Customer Relationship Management. 2Ed. Johan.Wiley. &.Sons.Publishing Inc., 2004. Carpenter, P. (1985). Type of‌ school and academic achievement. Journal of Sociology, 21(2), 219–۲۳۶٫ Carneiro, P. (2008). Equality of opportunity and educational achievement in Portugal. Portuguese Economic Journal, 7(1), 17–۴۱٫ Cocea M. and Weibelzahl S.,Can Log Files Analysis Estimate Learners’Level of Motivation?, in Proceeding of the 14th Workshop on Adaptation and User Modeling in Interactive System, Hildesheim, Germany,2006,PP.32_35. Davis-Kean, P. E. (2005). The influence of parent education and family income on child achievement: The indirect role of parental expectations and thehome environment. Journal of ‌Family Psychology, 19(2), 294–۳٫ De Busk, G.K., Brown, R.M. and Killough, L.N.(2003), ”Components and relative weights in utilization of dashboard measurement systems like the Balanced Scorecard,” The British Accounting Review,VOL.35 NO.3,pp.215-231.doi:10.1016/S 0890-8389(03) 00026-X. Desmarais, M. & Baker, R. (2011).A review of recent advances in learner and skill modeling in intelligent learning environments.User Modeling and User_Adapted Interaction,1-30. Dr Eamonn Keogh,”Data Mining and Machine Learning in Time Series Data base”, Computer Science and Engineering Department, University of California, 2003. Few, S. (2006), Information Dashboard Design, Gravenstein Highway North Sebastopol, O’Reilly Media, first. ,p. 224. Gianluca Bontempi,”Data Mining for Prediction”, ULB University, 2002. Gerber, S. B., & Fin, J. D. (2001). Teacher aides and students’ academic achievement. Educational Evaluation and Policy Analysis, 23(2), 123–۱۴۳٫ Goddard, R. D., Sweetland, S. R., & Hoy, W. K. (2000). Academic emphasis of urban elementary schools and student achievement in reading and mathematics: A multilevel analysis, Educational Administration Quarterly, 36(5), 683-702. Harrington,L., Hoffman,E., Pactricia,M., Wright,K. and Cargo, V.(2006),”Nursing Research Dashboard Nursing Research Program,”Nurse leader,No.October 2006. Hamalainen W.and Vinni M.,Comparison of Machine Learning Methods for Intelligent Tutoring Systems, in Proceedings of the 8th Han J. and Kamber M., Data Mining Cancepts and techniques Morgan Kaufmann Publishers,2006. Hu,W., Almansoori,A., Kannan,P.K., Azarm,S. and Wange,Z. (2011), ”Corporate dashboards for integrated business and engineering decisions in oil refineries:An agent-based approach,”Decision Support Systems,VOL.52 NO.3,pp.729-741.doi:10.1016/j.dss.2011.11.019. http://www.statsoft.com/textbook/sttimser.htm Hwang G.J.,Hsiao C.L. and Tseng C.R.,A computer_Assisted Approach to Diagnosing Student Learning Problems in Science, Journal of Information Science and Engineering, Vol.19, 2003, PP. 229_248. International Conference in Intelligent Tutoring Systems, Taiwan, 2006, PP.525_534. Khorasani,R. (2008),”Settingup a dashboard for your practice.” Journal of the American College of Radiology: JACR, VOL.5 NO.4,P.600.doi:10.1016/j.jacr.2008.01.021. Kotsiantis S.B., Pierrakeas C.J. and pintelas P.E., Predicting Students’ Performance in Distance Learning Using Machine Learning Techniques,Applied Artificial Intelligence, Vol.18, No.5, 2004, PP. 411_426. Kuo.R.J. An.Y.L., Wang.H.S., Chung.W.J.Integration of self-organizing feature maps neural network and genetic k-means algorithm for market segmentation. Expert Systems with Application, 30, (2006):313-324. Kyoung-jae Kim,Hyunchul Ahn.A recommender system using GA K-means clustering in an online shopping market.Expert System with Applications 34(2008).1200-1209. Logi XML. (2011),”Dashboard Software Buyers Guide,” Access. Retrieved from www.logixml.com Maseri,W., Wan,B., Embong,A., Zain,J.M. and Engineering,S. (2007),”Improve Knowledge Visualization through and Interactive Graph-based Dashboard System with Key Performance Indicator: A Case Study of University Dashboard for Higher.” Markellou P., Mousurouli I., Spiros S. and Tsakalidis A., Using Semantic Web Mining Technologies for Personalized e_Learning Experiences, in Proceedings of the Web_based Education Conference, Grindelwald, Switzerland, 2005, PP.461_826. Mehmed Kantardzic,”Data Mining (Concepts, Models, Methods and Algorithms)”, University of Louisvilla. IEEE Press, ISBN 0-471-22852, 2003. Meyers, Tomas A,”The technical analysis course: a wining Program for investors and traders”, erd, ed. 2002, ISBN: 964-410-053-0, 2002. Minaei_Bidgoli B.and punch B.,using Genetic Algorithms for Data Mining Optimization in an Educational Web_based System , Genetic and Evolutionaly Computation,Vol 2,2003,PP.2252_2263. Park,K.W., Smaltz,D., Mc Fadden,D. and Souba,W. (2010), ”The operating room dashboard.,” The Journal of surgical research, Elsevier Inc.VOL.164 NO.2,pp.294-300.doi:10.1016/j.jss.2009.09.011 Pauwels,K., Ambler,T., Clark,B., Lapointe,P. Reibstein,D., Skiera,B., Wierenga,B., et al. (2008), ”Dashboards & Marketing: Why, What, How and What Research is Needed?by.” Ramli A.A., Web Usage Mining Using Apriori Algorithm: UUM Learning Care Portal Case, in proceedings of the International Conference on Knowledge Managment, Malaysia, 2005, PP.1_19. Romero, C., Ventura. S. Educational data mining: A survey from 1995 to 2005, Expert Systems with Applications 135–۱۴۶, ۲۰۰۷٫ Rosow, E., Adam, Joseph and Coulombe,C. (2003),”Case Study: A Real-time Bed Management and Census Control Dashboard,” Nursing dministration Quarterly,Vol.27 No.1,pp.58-76.Retrievedform http://www.himss.org/content/files/proceedings/2003/casestudies/Cs-113.pdf. Scipioni,A., Mazzi,A., Mason,M. and Manzardo,A. (2009), ”Ecological Indicators,VOL.9 NO.2,pp.364-380. doi: 10, 1016/j. ecolind. 2008,05,002. Sharma, Parveen. Advanced Application of Data Warehousing Using 3-tier Architecture. Journal of library & information technology, 29(2), (2009):61-66. Stan Matvin,”Data Mining for Prediction of Aircraft Component, Scool of Iinformation Technology and Engineering“ University of Ottawa, Canada, 2002. U.M.Fayyad,G.Piatetsky-Shapiro, and P.smyth, ”From Data Mining to Knowledge Discovery: An Overview,” in Advances in Knowledge discovery and data mining, U.M.Fayyad, G.Piatetsky-Shapiro, P. Smyth, and R.Uthursamy, Eds. Menlo Park, California: AAAI Press, 2002. Wai-Ki Ching and Michael Kwok ,”Advances in Data Mining and Modeling“, University of Hong Kong , Jone, World Scientifc, ISBN 981-238-354-9,2005. Wayne,W. (2011), PERFORMANCE DASHBOARDS, Wiley, Second. Yigitbasioglu, O.M. and Velcu, O. (2011),”A review of dashboards in performance management: Implications for design and research,” International Journal of Accounting Information Systems, Elsevier Inc.doi:10,1016/j.accinf.2011.08.002. Yudelson M.V. and et al., Mining Student Learning Data to Develop High Level Pedagogic Strategy in a Medical ITS, in Proceeding of the AAAI Workshop on Educational Data Mining, Boston, MA, USA, 2006, PP.1_8. 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.