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Sat, Nov 4, 5:00 - 5:25, Bordeaux     Paper (refereed)
Recommended Citation: Choi, K S.  An Analysis of Computing Major Studentsí Myers-Briggs Type Indicator Distribution.  In The Proceedings of the Information Systems Education Conference 2006, v 23 (Dallas): §3723. ISSN: 1542-7382.
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An Analysis of Computing Major Studentsí Myers-Briggs Type Indicator Distribution

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Refereed8 pages
Kyungsub Steve Choi    [a1] [a2]
Computer Information Systems Department
Manhattan College    [u1] [u2]
Riverdale, New York, USA    [c1] [c2]

An experiment was undertaken to study the relationship between personsí Myers-Briggs Type Indicator (MBTI) personality and the computing tasks. For the experiment, a group of computing majors, 68 undergraduate students, (40 underclassmen and 28 upperclassmen) and 60 graduate students pursuing masters degrees have participated. The result shows that the most common MBTI types among the students are Introvert-sensing-thinking-judging (ISTJ) type and extrovert-sensing-thinking-judging (ESTJ) type, and the least common MBTI type is introvert-intuition-feeling-judging (INFJ) type. For a relative comparison analysis, the computing major students group is compared to two other similar groups; one group of general university students, and another group of science major university students only. It appears that the students who major in computing studies exhibit mostly sensing preference whereas the science major students exhibit mostly intuition preference. There is no outstanding preference from the general university students group. Based on this study, it is speculated that the students with sensing preference show the highest level of affinity to the qualities of computing tasks.

Keywords: MBTI, Myers-Briggs, personality, computing major

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