Abstract
This paper reports the distribution of Myer-Briggs Types for a large (565) sample of students enrolled in a first year subject in an information technology course at a large Australian University. These distributions are analysed with respect to gender, age and societal affinity. The purpose of this analysis is to detect any patterns of type distribution, which may inform teaching and learning strategies for these students. Findings include a predominance of Sensory and Perceptive types, who prefer hands-on and concrete learning experiences. Implications for teaching with these type sets and across types are discussed.
Recommended Citation
Stewart, Glenn, "Distributions of Myers-Briggs Type Indicator for IT Students Enrolled in a First Year Unit" (2003). ACIS 2003 Proceedings. 74.
https://aisel.aisnet.org/acis2003/74