ACM Home Page
Please provide us with feedback. Feedback
Team dynamics in student programming projects
Full text PdfPdf (550 KB)
Source Technical Symposium on Computer Science Education archive
Proceedings of the twenty-fifth SIGCSE symposium on Computer science education table of contents
Phoenix, Arizona, United States
Pages: 111 - 115  
Year of Publication: 1994
ISBN:0-89791-646-8
Also published in ...
Authors
Thomas J. Scott  Computer Science Dept., Western Illinois Univ., Macomb, IL
Lee H. Tichenor  Computer Science Dept., Western Illinois Univ., Mecomb, IL
Ralph B. Bisland, Jr.  Camputer science Dept., Univ. of Southern Miss., Southern Station, Ms.
James H. Cross, II  Computer Science/Engineering, Auburn University, Auburn, Al.
Sponsor
SIGCSE: ACM Special Interest Group on Computer Science Education
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 15,   Downloads (12 Months): 94,   Citation Count: 5
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/10.1145/191029.191076
What is a DOI?

ABSTRACT

This paper focuses on the interpersonal issues, often referred to as “team dynamics,” that can become quite important as students construct a large-scale programming project. Differing methods in which teams can develop phases of such projects are presented with advantages and disadvantages for each topic discussed. Various methods of student team selection and team communication techniques are first considered. Then various methods that can be used to define large-scale student team projects are discussed. The effect of team dynamics on the classic software engineering phases of specification, implementation, testing, and evaluation phases of student projects is discussed. Four project scenarios that have been used in the authors' classes, as well as rationales for these project designs are discussed. The paper concludes with results derived from using these scenarios in the classroom.


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
Shaw, Marvin E., Group Dynamics: The Psychology of Small Group Behavior, McGraw Hill, New York, NY., 1981.
 
4
Charles D. Sigwart, G.L. Van Meer and J.C. Hanson, Software Engineering, Franklin, Beadle and Associates, Irvine, Ca., 1990.
 
5
Scott, Thomas J., Using Learning Theory to Teach Computer Science, Pro~ings, 1993 MidWestem Computer Conference, Univ of Wisconsin, Whitewater, 1993.
 
6
Perry, W'dliam G., Jr., Forms of Intellectual and Ethical Development in the College Years: A Scheme, Holt Reinhart, and W'mston, Inc., New York, NY, 1956.
 
7
Provost, Judith A. and Anchors, Scott, App//cations of the Myers-Briggs Type indicator in Higher Education, Consulting Psychologists Press, Inc., Palo Alto, Ca. 1987.
 
8
Smith, Donna A, and D.A. Kolb, A Users Guide for the Learning Style Inventory: A Manual for Teachers and Trainers, McBer and Co., Boston, MA, 1986.
 
9
Covey, Steven, The Seven Habits of Highly Influential People, Simon & Schuster, New York, NY, 1990.


Collaborative Colleagues:
Thomas J. Scott: colleagues
Lee H. Tichenor: colleagues
Ralph B. Bisland, Jr.: colleagues
James H. Cross, II: colleagues