research-article

The effects of pair-programming on individual programming skill

Authors:

Tim WahlsAuthors Info & Claims

SIGCSE '08: Proceedings of the 39th SIGCSE technical symposium on Computer science education

Pages 200 - 204

https://doi.org/10.1145/1352135.1352207

Published: 12 March 2008 Publication History

Abstract

Previous studies have reported significant educational benefits from the use of pair-programming, in which two students program together at the same computer. Here, we report the results of a controlled study designed to measure the effects of pair-programming on the development of individual programming ability. Our findings indicate significant improvements in individual programming skill for students with lower SAT scores. Additionally, we found that all students are more likely to complete the course successfully when using pair-programming.

References

[1]

D. Barnes and M. Kölling. Objects First with Java: A Practical Introduction using BlueJ. Prentice Hall third edition, 2006.

Digital Library

[2]

K. Beck and C. Andres. Extreme Programming Explained: Embrace Change. Addison-Wesley Professional, Boston, MA, second edition, 2005.

Digital Library

[3]

S. Edwards. Using test-driven development in the classroom: Providing students with automatic concrete feedback on performance. In Proceedings of the International Conference on Education and Information Systems: Technologies and Applications 2003.

[4]

B. Hanks, C. McDowell, D. Draper, and M. Krnjajic Program quality with pair programming in CS1. In ITiCSE '04, pages 176--180, New York, NY, 2004 ACM Press.

Digital Library

[5]

C. McDowell, B. Hanks, and L. Werner Experimenting with pair programming in the classroom. In ITiCSE '03, pages 60--64, New York NY, 2003. ACM Press.

Digital Library

[6]

C. McDowell, L. Werner, H. Bullock, and J. Fernald The effects of pair-programming on performance in an introductory programming course. In SIGCSE '02 pages 38--42, New York, NY, 2002. ACM Press.

Digital Library

[7]

C. McDowell, L. Werner, H. E. Bullock, and J. Fernald. The impact of pair programming on student performance, perception and persistence. In ICSE '03: Proceedings of the 25th International Conference on Software Engineering, pages 602--607 Washington, DC, 2003. IEEE Computer Society.

Digital Library

[8]

C. McDowell, L. Werner, H. E. Bullock, and J. Fernald. Pair programming improves student retention, confidence, and program quality. Commun. ACM, 49(8):90--95, 2006.

Digital Library

[9]

E. Mendes, L. Al-Fakhri, and A. Luxton-Reilly. A replicated experiment of pair-programming in a 2nd-year software development and design computer science course. In ITICSE '06, pages 108--112, New York, NY, 2006. ACM Press.

Digital Library

[10]

E. Mendes, L. B. Al-Fakhri, and A. Luxton-Reilly Investigating pair-programming in a 2nd-year software development and design computer science course. In ITiCSE '05, pages 296--300, New York, NY, 2005 ACM Press.

Digital Library

[11]

N. Nagappan, L. Williams, M. Ferzli, E. Wiebe, K. Yang, C. Miller, and S. Balik. Improving the CS1 experience with pair programming. In SIGCSE '03, pages 359--362, New York, NY, 2003. ACM Press.

Digital Library

[12]

N. Nagappan, L. A. Williams, E. Wiebe, C. Miller, S. Balik, M. Ferzli, and J. Petlick. Pair learning: With an eye toward future success. In XP/Agile Universe, pages 185--198, 2003.

[13]

D. Schneider and N. Dorans. Concordance between SAT I and ACT scores for individual students, 1999.

[14]

L. L. Werner, B. Hanks, and C. McDowell. Pair-programming helps female computer science students. J. Educ. Resour. Comput., 4(1):4, 2004.

Digital Library

[15]

L. Williams. But, isn?t that cheating? In 29th ASEE/IEEE Fronteers in Education Conference, 1999.

[16]

L. Williams, E. Wiebe, K. Yang, M. Ferzli, and C. Miller. In support of pair programming in the introductory computer science course. Computer Science Education, 12(3):197?212, 2002.

[17]

L. Williams, K. Yang, E. Wiebe, M. Ferzli, and C. Miller. Pair programming in an introductory computer science course: Initial results and recommendations. In OOPSLA Educator?s Symposium, 2002.

Cited By

Mohamed S(2019)Exploring Collaborative Learning for Programming Course to Enhance Students' Interest and AchievementRedesigning Higher Education Initiatives for Industry 4.010.4018/978-1-5225-7832-1.ch016(265-283)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-7832-1.ch016
Lin YWu CChiu C(2018)The Use of Wiki in Teaching ProgrammingInternational Journal of Distance Education Technologies10.4018/IJDET.201807010216:3(18-45)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.4018/IJDET.2018070102
Luxton-Reilly ASimon Albluwi IBecker BGiannakos MKumar AOtt LPaterson JScott MSheard JSzabo CRößling GScharlau B(2018)Introductory programming: a systematic literature reviewProceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education10.1145/3293881.3295779(55-106)Online publication date: 2-Jul-2018
https://dl.acm.org/doi/10.1145/3293881.3295779
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Index Terms

The effects of pair-programming on individual programming skill
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education
2. Software and its engineering
  1. Software notations and tools

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cover image ACM Conferences

SIGCSE '08: Proceedings of the 39th SIGCSE technical symposium on Computer science education

March 2008

606 pages

ISBN:9781595937995

DOI:10.1145/1352135

General Chairs:
J. D. Dougherty
Haverford College
,
Susan Rodger
Duke University
,
Program Chairs:
Sue Fitzgerald
Metropolitan State University
,
Mark Guzdial
Georgia Institute of Technology

ACM SIGCSE Bulletin Volume 40, Issue 1
SIGCSE 08
March 2008
549 pages
ISSN:0097-8418
DOI:10.1145/1352322
Issue’s Table of Contents

Copyright © 2008 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 12 March 2008

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SIGCSE '08: The 39th ACM Technical Symposium on Computer Science Education

March 12 - 15, 2008

OR, Portland, USA

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Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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Cited By

Mohamed S(2019)Exploring Collaborative Learning for Programming Course to Enhance Students' Interest and AchievementRedesigning Higher Education Initiatives for Industry 4.010.4018/978-1-5225-7832-1.ch016(265-283)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-7832-1.ch016
Lin YWu CChiu C(2018)The Use of Wiki in Teaching ProgrammingInternational Journal of Distance Education Technologies10.4018/IJDET.201807010216:3(18-45)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.4018/IJDET.2018070102
Luxton-Reilly ASimon Albluwi IBecker BGiannakos MKumar AOtt LPaterson JScott MSheard JSzabo CRößling GScharlau B(2018)Introductory programming: a systematic literature reviewProceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education10.1145/3293881.3295779(55-106)Online publication date: 2-Jul-2018
https://dl.acm.org/doi/10.1145/3293881.3295779
Smith MGiugliano ADeOrio A(2018)Long Term Effects of Pair ProgrammingIEEE Transactions on Education10.1109/TE.2017.277302461:3(187-194)Online publication date: Aug-2018
https://doi.org/10.1109/TE.2017.2773024
McChesney IAlphonce CTims JCaspersen MEdwards S(2016)Three Years of Student Pair ProgrammingProceedings of the 47th ACM Technical Symposium on Computing Science Education10.1145/2839509.2844565(84-89)Online publication date: 17-Feb-2016
https://dl.acm.org/doi/10.1145/2839509.2844565
Ott CRobins AShephard K(2016)Translating Principles of Effective Feedback for Students into the CS1 ContextACM Transactions on Computing Education10.1145/273759616:1(1-27)Online publication date: 28-Jan-2016
https://dl.acm.org/doi/10.1145/2737596
O'Donnell CBuckley JMahdi ANelson JEnglish MDecker AEiselt KAlphonce CTims J(2015)Evaluating Pair-Programming for Non-Computer Science Major StudentsProceedings of the 46th ACM Technical Symposium on Computer Science Education10.1145/2676723.2677289(569-574)Online publication date: 24-Feb-2015
https://dl.acm.org/doi/10.1145/2676723.2677289
Remshagen ARolka CHoganson KHe S(2014)Contextualized learning toolsProceedings of the 2014 ACM Southeast Conference10.1145/2638404.2638458(1-6)Online publication date: 28-Mar-2014
https://dl.acm.org/doi/10.1145/2638404.2638458
Joseph HCheung SOrso AStorey M(2014)Software programmer management: a machine learning and human computer interaction framework for optimal task assignmentProceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering10.1145/2635868.2661684(826-828)Online publication date: 11-Nov-2014
https://dl.acm.org/doi/10.1145/2635868.2661684
Bell SFrey TVasserman EDougherty JNagel KDecker AEiselt K(2014)Spreading the wordProceedings of the 45th ACM technical symposium on Computer science education10.1145/2538862.2538963(187-192)Online publication date: 5-Mar-2014
https://dl.acm.org/doi/10.1145/2538862.2538963
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