IJIET 2018 Vol.8(9): 644-648 ISSN: 2010-3689
doi: 10.18178/ijiet.2018.8.9.1115

Influence of Introversion and Extraversion Using MBTI Personality Model on Academic Performance

Xuechao Li, Rodrigo Sardinas, Po-Chou Shih, and Karl Camp

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 courses.

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: ras0054@tigermail.auburn.edu).
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_ campkl@cuchicago.edu).

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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.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (Since 2019), EI(INSPEC, IET), EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
  • E-mail: ijiet@ejournal.net