Abstract—To date, research work in exploring the influence
of personality on performance in programming courses has
often been neglected due to the difficulty of quantitatively
defining and measuring human factors. In this paper an
empirical experiment was conducted in: (1) measuring
Introversion/Extraversion personality types based on
Myers-Briggs Type Indicator(MBTI); (2) defining scores of
students’ assignments as academic performance; and (3) using
statistical analysis to verify our hypotheses about the linear
relationship between personality types and academic
performance. With the support of Independent T-test analysis,
conclusions were found that introversion programmers
outperformed extroversion programmers in their respective
programming courses. In addition, the Pearson Correlation and
regression analysis were utilized in order to assist educators in
conducting more effective teaching styles in their programming
Index Terms—Academic performance, empirical study, extraversion, introversion, Myers-Briggs type indicator.
Xuechao Li is with the Concordia University Chicago, River Forest, IL 60305 USA (e-mail: Xuechao.Li@cuchicago.edu).
Rodrigo Sardinas is with the Auburn University, Auburn AL 36849 USA (e-mail: email@example.com).
Po-Chou Shih is with National Taipei University of Technology, 10608 Taiwan.
Karl Camp is with Concordia University Chicago, River Forest, IL 60305 USA (e-mail: crf_ firstname.lastname@example.org).
Cite: Xuechao Li, Rodrigo Sardinas, Po-Chou Shih, and Karl Camp, "Influence of Introversion and Extraversion Using MBTI Personality Model on Academic Performance," International Journal of Information and Education Technology vol. 8, no. 9, pp. 644-648, 2018.