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Using peer-led team learning to increase participation and success of under-represented groups in introductory computer science
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Technical Symposium on Computer Science Education archive
Proceedings of the 40th ACM technical symposium on Computer science education table of contents
Chattanooga, TN, USA
SESSION: Retention table of contents
Pages 163-167  
Year of Publication: 2009
ISBN:978-1-60558-183-5
Also published in ...
Authors
Susan Horwitz  University of Wisconsin - Madison, Madison, WI, USA
Susan H. Rodger  Duke University, Durham, NC, USA
Maureen Biggers  Georgia Institute of Technology, Atlanta, GA, USA
David Binkley  Loyola College in Maryland, Baltimore, MD, USA
C. Kolin Frantz  KD Evaluation Consultants, Seattle, WA, USA
Dawn Gundermann  KD Evaluation Consultants, Seattle, WA, USA
Susanne Hambrusch  Purdue University, West Lafayette, IN, USA
Steven Huss-Lederman  Beloit College, Beloit, WI, USA
Ethan Munson  University of Wisconsin - Milwaukee, Milwaukee, WI, USA
Barbara Ryder  Rutgers Univeristy, Piscataway, NJ, USA
Monica Sweat  Georgia Institute of Technology, Atlanta, GA, USA
Sponsors
SIGCSE: ACM Special Interest Group on Computer Science Education
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper describes the implementation and evaluation of a program that uses active recruiting and peer-led team learning to try to increase the participation and success of women and minority students in undergraduate computer science. These strategies were applied at eight universities starting in the fall of 2004. There have been some impressive results:

  • We succeeded in attracting under-represented students who would not otherwise have taken a CS course.
  • Evaluation shows that participation in our program significantly improves retention rates and grades, especially for women.
  • Students in the program, as well as the students who served as peer leaders, are uniformly enthusiastic about their experience.


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.

 
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Collaborative Colleagues:
Susan Horwitz: colleagues
Susan H. Rodger: colleagues
Maureen Biggers: colleagues
David Binkley: colleagues
C. Kolin Frantz: colleagues
Dawn Gundermann: colleagues
Susanne Hambrusch: colleagues
Steven Huss-Lederman: colleagues
Ethan Munson: colleagues
Barbara Ryder: colleagues
Monica Sweat: colleagues