ACM Home Page
Please provide us with feedback. Feedback
Digital Library logoTake a look at the new version of this page: [ beta version ]. Tell us what you think.
Personality types, learning styles, and an agile approach to software engineering education
Full text PdfPdf (69 KB)
Source Technical Symposium on Computer Science Education archive
Proceedings of the 37th SIGCSE technical symposium on Computer science education table of contents
Houston, Texas, USA
SESSION: Software engineering table of contents
Pages: 428 - 432  
Year of Publication: 2006
ISBN:1-59593-259-3
Also published in ...
Authors
Lucas Layman  North Carolina State University, Raleigh, NC
Travis Cornwell  North Carolina State University, Raleigh, NC
Laurie Williams  North Carolina State University, Raleigh, NC
Sponsors
SIGCSE: ACM Special Interest Group on Computer Science Education
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 16,   Downloads (12 Months): 171,   Citation Count: 7
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1121341.1121474
What is a DOI?

ABSTRACT

This paper describes an initiative at North Carolina State University in which the undergraduate software engineering class was restructured in layout and in presentation. The change was made from a lecture-based coursed that followed the waterfall method to a lab-oriented course emphasizing practical tools and agile processes. We examine the new course layout from the perspective of Myers-Briggs personality types and Felder-Silverman learning styles to discuss how the new software engineering class format appeals to a wide variety of students. The new course format resulted in some of the highest student evaluations in recent course history. It is now the standard for the undergraduate software engineering course at the university and has since been used in other North Carolina institutions.


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
 
3
R. M. Felder and L. K. Silverman, "Learning and Teaching Styles in Engineering Education," Engineering Education, vol. 78, 1988, pp. 674--681.
 
4
E. S. Godleski, "Learning Style Compatibility of Engineering Students and Faculty," proceedings of Frontiers in Education (FIE '84), 1984, pp. 362--364.
 
5
G. Lawrence, People Types and Tiger Stripes, 3rd ed, Center for Applications of Psychological Types, Gainesville, FL, 1994.
 
6
M. H. McCaulley, "The MBTI and Individual Pathways in Engineering Design," Journal of Engineering Education, vol. 80, 1990, pp. 537--542.
 
7
A. Thomas, M. R. Benne, M. J. Marr, E. W. Thomas, and R. M. Hume, "The Evidence Remains Stable: The MBTI Predicts Attraction and Attrition in an Engineering Program," Journal of Psychological Type, vol. 55, 2000, pp. 35--42.
8


Collaborative Colleagues:
Lucas Layman: colleagues
Travis Cornwell: colleagues
Laurie Williams: colleagues