Xuechao Li
ABSTRACT
In this paper, we describe an empirical study carried out to investigate the effects of Intuition and Sensing personality types in programming performance using Myer-Briggs Type Indicator (MBTI) model. This formal experiment was conducted at Auburn University and participants were first-year students in an introductory programming course. Our results showed: (1) Intuition and Sensing personality traits did affect students' programming performance; (2) students with the Intuition type significantly wrote more efficient code that students with Sensing type; and (3) a significant linear correlation existed between Intuition and programming performance.
- Feldt, R., Angelis, L. and Samuelsson, M. 2008. Towards Individualized Software Engineering: Empirical Studies Should Collect Psychometrics. CHASE Workshop in Int'l Conference Software Engineer. 49--52. Google Scholar
Digital Library
- Salleh, N., Mendes, E., Grundy, J. and Burch, G.S.J. 2009. An empirical study of the effects of personality in pair programming using the five-factor model. In: Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement. IEEE Computer Society. 214--225. Google ScholarDigital Library
- Salleh, N., Mendes, E. and Grundy, J. 2010. Empirical Studies of Pair Programming for CS/SE Teaching in Higher Education: A Systematic Literature Review. IEEE Transactions on Software Engineering. Vol. 37. 509--525. Google ScholarDigital Library
- Weinberg, G.M. The psychology of computer programming. 1971--1998, New York, Van Nostrand Reinhold. xv, 288. Google ScholarDigital Library
- I. Myers-Briggs, M. H. McCaulley, N. L. Quenk, and A. Hammer. 1998. MBTI Manual (A Guide to the Development and use of the Myers Briggs Type Indicator), 3rd edition Consulting Psychologists Press.Google Scholar
- McCrae, R.R. and John, O.P. 1992. An Introduction to the Five-Factor Model and Its Applications. Journal of Personality.Google ScholarCross Ref
- Calitz, A.P., Watson, M.B. and Kock, G. 1997. Identification and selection of successful future IT personnel in a changing technological and business environment. In: Proceedings of the 1997 ACM SIGCPR conference on Computer personnel research. 31--35. Google ScholarDigital Library
- Charlton JP, Birkett PE (1999) An integrative model of factors related to computing course performance. Journal of Educational Computing Research. 20 (3):237--257.Google ScholarCross Ref
- Nowaczyk, R.H. 1984. The relationship of problem-solving ability and course performance among novice programmers. International Journal of Man-Machine Studies. 21 (2):149--160. Google ScholarDigital Library
- Zahra, K. and Stefan, W. The influence of personality on computer programming: a summary of a systematic literature review. 2014. Publication Server of the University of Stuttgart.Google Scholar
- Salleh, N., Mendes, E. and Grundy, J. 2010. Empirical Studies of Pair Programming for CS/SE Teaching in Higher Education: A Systematic Literature Review. IEEE Transactions on Software Engineering. Vol. 37. 509--525 Google ScholarDigital Library
- Peslak, A.R. 2006. The Impact of Personality on Information Technology Team Projects", SIGMIS-CPR. 273--279 Google ScholarDigital Library
- Wohlin, C., Runeson, P., Host, M., Ohlsson, M.C., Regnell, B. and Wesslen, A. 2000. Experimentation in Software Eng.: An Introduction. Kluwer Academic Publisher. Google ScholarDigital Library
- The Myers & Briggs Foundation. http://www.myersbriggs.org/my-mbti-personality-type/mbti-basics/home.htm?bhcp=1Google Scholar
- Garcia-Mateos, G., and Fernandez-Aleman, J. L. 2009. A Course on Algorithms and Data Structures Using On-line Judging ABSTRACT. ACM SIGCSE Bulletin. 45--49. Google ScholarDigital Library
- Gulati, J., Bhardwaj, P., and Suri, B. 2015. Comparative Study of Personality Models in Software Engineering. In Proceedings of the Third International Symposium on Women in Computing and Informatics (WCI '15). Indu Nair (Ed.). ACM, New York, NY, USA, 209--216. Google ScholarDigital Library
- Karimi, Z., Baraani-Dastjerdi, A., Ghasem-Aghaee, N., and Wagner, S. 2015. Influence of Personality on Programming Styles an Empirical Study. Journal of Information Technology Research. 8(4).Google ScholarCross Ref
- Radermacher, A. D. and Walia, G. S. 2011. Investigating the effective implementation of pair programming: and empirical investigation. In Proceedings of the 42nd ACM technical symposium on Computer science education (SIGCSE '11). ACM, New York, NY, USA, 655--660. Google ScholarDigital Library
- Salleh, N., Mendes, E., Grundy, J., and Burch, G. J. 2010. The effects of neuroticism on pair programming: an empirical study in the higher education context. In Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM '10). ACM, New York, NY, USA. Article 22. Google ScholarDigital Library
- Salleh, N., Mendes, E., Grundy, J., and Burch, G. J. 2010. An empirical study of the effects of conscientiousness in pair programming using the five-factor personality model. In Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1 (ICSE '10) Vol. 1. ACM, New York, NY, USA, 577--586. Google ScholarDigital Library
- Salleh, N., Mendes, E., and Grundy, J. 2011. The effects of openness to experience on pair programming in a higher education context. Software Engineering Education Conference, Proceedings. 149--158. Google ScholarDigital Library
- Talhi, S. and Behaz, A. 2017. Using Learning Styles MBTI Model to Adapt Learning. In Proceedings of the International Conference on Computing for Engineering and Sciences (ICCES '17). ACM, New York, NY, USA, 92--95. Google ScholarDigital Library
- Howell, D. 2002. Pacific Grove: Duxbury Statistical Methods for Psychology. (5th ed.)Google Scholar
- Benesty, J., Chen, J., Huang, Y. and Cohen, I. 2009. Pearson Correlation Coefficient. Noise Reduction in Speech Processing. Springer Topics in Signal Processing. 1--4. Google ScholarDigital Library
- Freund, R., Wilson, W., Sa, P. 2006. Regression Analysis. Academic Press.Google Scholar
Index Terms
- Effects of Intuition and Sensing in Programming Performance using MBTI personality model
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