[1] J. J. Droesbeke,, I. Hecquet, and C. Wattelar “La population étudiante.” Paris: Ellipses, 2001.
[2] B. Naik and S. Ragothaman, “Using neural network to predict MBA student success”, College Student Journal,38(1):143-149, 2004.
[3] A. K. Aggarwal, S. D. Travers, and C. E. H. Scott-Conner “Selection of surgical residents: A neural network approach” Cybernetics and Systems 31:417-430, 2000.
[4] N. Entwistle, “Motivational factors in students' approaches to learning”, In R.R. Schmeck (Ed.), Learning strategies and learning styles. 21-51. New York: Plenum, 1988.
[5] A. Ardila,‘‘Predictors of university academic performance in Colombia’’, International Journal of Educational Research, vol. 35, pp. 411-417, 2001.
[6] V.V. Busato, F.J. Prins, J.J. Elshout, and C. Hamaker, ‘‘The relation between learning styles, the Big Five personality traits and achievement motivation in higher education’’, Personality and Individual Differences, vol. 26, 1999.
[7] V.V. Busato, F.J. Prins, J.J Elshout and C. Hamaker, “Intellectual ability, learning style, personality, achievement motivation and academic success of psychology students in higher education”, Personality and Individual Differences, vol. 29, pp. 1057-1068, 2000.
[8] A. Furnham, C.J. Jackson, and T. Miller, ‘‘Personality, learning style and work performance" Personality and Individual Differences, vol.27, pp.1113-1122, 1999.
[9] B.L. Garton, J.E Dyer,.and B.O.King, "Factors associated with the academic performance and retention of college agriculture students" NACTA Journal, 2002.
[10] A.R. King, "Relationships between CATI personality disorder variables and measures of academic performance’’, Personality and Individual Differences, vol. 29, pp. 177-190, 2000.
[11] A. Minnaert, and P.J. Janssen, “The additive effect of regulatory activities on top of intelligence in relation to academic performance in higher education”, Learning and Instruction, vol. 9, pp. 77-91, 1999 .
[12] J.F. Superby, J.-P. Vandamme, and N. Meskens, “Determination of factors influencing the achievement of the first-year university students using data mining methods”, Education Economics, v15 n4, p405-419, Dec 2007.