ACM Home Page
Please provide us with feedback. Feedback
Implications of MBTI in software engineering education
Full text PdfPdf (47 KB)
Source ACM SIGCSE Bulletin archive
Volume 34 ,  Issue 4  (December 2002) table of contents
COLUMN: Reviewed papers table of contents
Pages: 134 - 137  
Year of Publication: 2002
ISSN:0097-8418
Author
L. F. Capretz  University of Western Ontario, London, Ontario, Canada
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 8,   Downloads (12 Months): 50,   Citation Count: 1
Additional Information:

abstract   references   cited by   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/820127.820185
What is a DOI?

ABSTRACT

A number of approaches exist to aid the understanding of individual differences and their effects on teaching and learning. Educators have been using the Myers-Briggs Type Indicator (MBTI) to understand differences in learning styles and to develop teaching methods that cater for the various personality styles. Inspired by the MBTI, we developed a range of practices for effective teaching and learning in a software engineering course. Our aim is to reach every student, but in different ways, by devising various teaching approaches.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
Myers, I. B., McCaulley M. H., Quenk N. L. and Hammer A. L. Manual: A Guide to the Development and Use of the Myers-Briggs Type Indicator. Consulting Psychologists Press, Palo Alto (CA), 1998.
 
3
Provost, J. A. and Adams S. Applications of the MBTI in Higher Education. Consulting Psychologists Press, Palo Alto (CA), 1987.
 
4
 
5
Rosati, P. Specific differences and similarities in the leaning preferences of engineering students. 29th ASEE/IEEE Frontiers in Education Conference, #1544, 1999.