Academic preference based on students’ personality analysis through k-means clustering


  • Noratiqah Mohd Ariff Universiti Kebangsaan Malaysia
  • Mohd Aftar Abu Bakar Universiti Kebangsaan Malaysia
  • Zamira Hasanah Zamzuri Universiti Kebangsaan Malaysia



psychometric test, personality analysis, academic preference, k-means clustering


It is believed that the education quality increases in line with the knowledge and understanding of students’ personality. The theory and techniques associated with measurement of skills, abilities, attitudes and psychological traits are studied under the field of psychometrics. The students’ psychometric scores and their academic programme of choice from a local university in Malaysia are analysed using k-means. It is found that there are distinctive clusters to differentiate the students’ personality traits and the differences can influence them in choosing certain programmes. Hence, the results are useful to determine the suitable methods to increase the students’ academic performance.

Author Biographies

Noratiqah Mohd Ariff, Universiti Kebangsaan Malaysia

School of Mathematical Sciences, Faculty of Science and Technology

Mohd Aftar Abu Bakar, Universiti Kebangsaan Malaysia

School of Mathematical Sciences, Faculty of Science and Technology

Zamira Hasanah Zamzuri, Universiti Kebangsaan Malaysia

School of Mathematical Sciences, Faculty of Science and Technology


Bloom, D. E., Hartley, M., Rosovsky, H. 2007. Beyond private gain: The public benefits of higher education. In Forest, J. J. F. and Altbach, P. G. (Ed.). International Handbook of Higher Education. Netherlands: Springer. 18 293–308.

Cattell, R. B., Eber, H. W., Tatsuoka, M. M. 1970. Handbook for the sixteen personality factor questionnaire (16PF). Illinois: Institute for Personality and Ability Testing.

Cόrdoba, J. E., Jaramillo, G. P. 2012. Inclusion of the latent personality variable in multinomial logit models using the 16pf psychometric test. Procedia – Social and Behavioral Sciences. 54, 169–178.

Frost, S. H., Brown-Wheeler, K. E. 2003. Evolution and examination: Philosophical and cultural foundations for faculty advising. Faculty advising examined: Enhancing the potential of college faculty as advisors. Massachusetts: Anker Publishing Company. 223–244.

Goldschmid, M. L. 1967. Prediction of college majors by personality tests. Journal of Counseling Psychology. 14, 4, 302–308.

Holland, J. L. 1973. Making vocational choices: A theory of careers. New Jersey: Prentice Hall.

Holland, J. L. 1997. Making vocational choices: A theory of vocational personalities and work environments (3rd ed.). Florida: Psychological Assessment Resources.

Jaensch, V. K., Hirschi, A., Spurk, D. 2016. The relationships of vocational interest congruence, differentiation, and elevation to career preparedness among university students. Zeitschrift für Arbeits- und Organisationspsychologie. 60, 79–89.

Kaufman, J. C., Pumaccahua, T. T., Holt, R. E. 2013. Personality and creativity in realistic, investigative, artistic, social, and enterprising college majors. Personality and Individual Differences. 54, 8, 913–917.

Lievens, F., Coetsier, P., De Fruyt, F., De Maeseneer, J. 2002. Medical students' personality characteristics and academic performance: A five-factor model perspective. Medical Education. 36, 11, 1050–1056.

Lounsbury, J. W., Smith, R. M., Levy, J. J., Leong, F. T., Gibson, L. W. 2009. Personality characteristics of business majors as defined by the big five and narrow personality traits. Journal of Education for Business. 84, 4, 200–204.

Nauta, M. M. 2010. The development, evolution, and status of Holland’s theory of vocational personalities: Reflections and future direction for counseling psychology. Journal of Counseling Psychology. 57, 1, 11–22.

Park, H. S., Jun, C. H. 2009. A simple and fast algorithm for k-medoids clustering. Expert System with Applications. 36, 3336–3341.

Rubinstein, G. 2005. The Big Five among male and female students of different faculties. Personality and Individual Differences. 38, 7, 1495–1503.

Saucier, G., Srivastava, S. 2015. What makes a good structural model of personality? Evaluating the Big Five and alternatives. In Mikulincer, M. and Shaver, P. R. (Ed.). Handbook of personality and social psychology. American Psychological Association. 4, 283–305.

Slamet C., Rahman A., Ramdhani M. A., Darmalaksana W. 2016.

Clustering the verses of the Holy Qur’an using k-means algorithm. Asian Journal of Information Technology. 15, 24, 5159–5162.

Swathi, B. V., Govardhan, A. 2009. Find-k: A new algorithm for finding the k in partitioning clustering algorithms. International Journal of Computing Science and Communication Technologies. 2, 1, 268–272.

Tell N Search. 2017. Auto Self Knowledge (ASK) Interpretation Manual. Retrieved from

Vedel, A., Thomsen, D. K., Larsen, L. 2015. Personality, academic majors and performance: Revealing complex patterns. Personality and Individual Differences. 85, 69–76.

Vedel, A. 2016. Big Five personality group differences across academic majors: A systematic review. Personality and Individual Differences. 92, 1–10.