research-article

Three Years of Student Pair Programming: Action Research Insights and Outcomes

Author:

Ian McChesneyAuthors Info & Claims

SIGCSE '16: Proceedings of the 47th ACM Technical Symposium on Computing Science Education

Pages 84 - 89

https://doi.org/10.1145/2839509.2844565

Published: 17 February 2016 Publication History

Abstract

In the software engineering industry the technique of pair programming can be used as a means of enhancing programmer productivity and the quality of the software development process. Pair programming has also been used in computer science education as a mechanism to address some of the educational challenges faced by students learning to program. An action research study is described in which pair programming is used as part of the learning and assessment regime in introductory programming. Module data has been used over a three year cycle to evaluate the impact of pair programming on student performance and confidence in programming, and to gain insights into its practical application. Within-subject analysis confirms previously reported observations of overall improved student performance. Qualitative analysis identifies areas for refinement in the practical application of pair programming for learning and assessment, particularly in relation to pairwise communication, establishing protocols for conflict resolution and development of professional competencies.

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Cited By

Wang YZhang R(2024)Research on the Pair Programming Partner Recommendation Method Based on Personalized Learning FeaturesComputer Science and Educational Informatization10.1007/978-981-99-9492-2_29(342-357)Online publication date: 10-Jan-2024
https://doi.org/10.1007/978-981-99-9492-2_29
Gonçalves CGonçalves C(2024)Assessment on the Effectiveness of GitHub Copilot as a Code Assistance Tool: An Empirical StudyProgress in Artificial Intelligence10.1007/978-3-031-73503-5_3(27-38)Online publication date: 16-Nov-2024
https://doi.org/10.1007/978-3-031-73503-5_3
Ishii DKanaoka A(2023)Vision: How to Provide Documentation to Non-skilled Developers for Appropriate Use of Cryptography: Action Research Study on Expert MonitoringProceedings of the 2023 European Symposium on Usable Security10.1145/3617072.3617119(218-223)Online publication date: 16-Oct-2023
https://dl.acm.org/doi/10.1145/3617072.3617119
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Index Terms

Three Years of Student Pair Programming: Action Research Insights and Outcomes
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education
        Software engineering education
2. Software and its engineering
  1. Software creation and management
    1. Collaboration in software development
      1. Programming teams

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cover image ACM Conferences

SIGCSE '16: Proceedings of the 47th ACM Technical Symposium on Computing Science Education

February 2016

768 pages

ISBN:9781450336857

DOI:10.1145/2839509

General Chairs:
Carl Alphonce
University at Buffalo
,
Jodi Tims
Baldwin Wallace University
,
Program Chairs:
Michael Caspersen
Aarhus University
,
Stephen Edwards
Virginia Tech University

Copyright © 2016 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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SIGCSE: ACM Special Interest Group on Computer Science Education

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Association for Computing Machinery

New York, NY, United States

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Published: 17 February 2016

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SIGCSE '16

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SIGCSE '16: The 47th ACM Technical Symposium on Computing Science Education

March 2 - 5, 2016

Tennessee, Memphis, USA

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SIGCSE '16 Paper Acceptance Rate 105 of 297 submissions, 35%;

Overall Acceptance Rate 1,787 of 5,146 submissions, 35%

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Cited By

Wang YZhang R(2024)Research on the Pair Programming Partner Recommendation Method Based on Personalized Learning FeaturesComputer Science and Educational Informatization10.1007/978-981-99-9492-2_29(342-357)Online publication date: 10-Jan-2024
https://doi.org/10.1007/978-981-99-9492-2_29
Gonçalves CGonçalves C(2024)Assessment on the Effectiveness of GitHub Copilot as a Code Assistance Tool: An Empirical StudyProgress in Artificial Intelligence10.1007/978-3-031-73503-5_3(27-38)Online publication date: 16-Nov-2024
https://doi.org/10.1007/978-3-031-73503-5_3
Ishii DKanaoka A(2023)Vision: How to Provide Documentation to Non-skilled Developers for Appropriate Use of Cryptography: Action Research Study on Expert MonitoringProceedings of the 2023 European Symposium on Usable Security10.1145/3617072.3617119(218-223)Online publication date: 16-Oct-2023
https://dl.acm.org/doi/10.1145/3617072.3617119
Ola O(2022)Music, Stories, and Progress ClickersProceedings of the 24th Australasian Computing Education Conference10.1145/3511861.3511880(173-180)Online publication date: 14-Feb-2022
https://dl.acm.org/doi/10.1145/3511861.3511880
Hawlitschek ABerndt SSchulz S(2022)Empirical research on pair programming in higher education: a literature reviewComputer Science Education10.1080/08993408.2022.203950433:3(400-428)Online publication date: 6-Mar-2022
https://doi.org/10.1080/08993408.2022.2039504
Srivatanakul T(2022)Emerging from the pandemic: instructor reflections and students’ perceptions on an introductory programming course in blended learningEducation and Information Technologies10.1007/s10639-022-11328-6Online publication date: 4-Nov-2022
https://doi.org/10.1007/s10639-022-11328-6
Ying KKatuka GBoyer KSchulte CBecker BDivitini MBarendsen E(2021)Using Dialogue Analysis to Predict Women's Stress During Remote Collaborative Learning in Computer ScienceProceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 110.1145/3430665.3456369(60-66)Online publication date: 26-Jun-2021
https://dl.acm.org/doi/10.1145/3430665.3456369
ÇAL HCAN G(2020)The Influence of Pair Programming on Secondary School Students’ Confidence and Achievement in Computer ProgrammingEşli Programlamanın Ortaokul Öğrencilerinin Bilgisayar Programlama Özgüven ve Başarısına EtkisiTrakya Eğitim Dergisi10.24315/tred.57509810:1(221-237)Online publication date: 31-Jan-2020
https://doi.org/10.24315/tred.575098
Reckinger SHughes BZhang JSherriff MHeckman SCutter PMonge A(2020)Strategies for Implementing In-Class, Active, Programming AssessmentsProceedings of the 51st ACM Technical Symposium on Computer Science Education10.1145/3328778.3366850(454-460)Online publication date: 26-Feb-2020
https://dl.acm.org/doi/10.1145/3328778.3366850
Silva DAguiar RDvconlo DSilla C(2020)Recent Studies About Teaching Algorithms (CS1) and Data Structures (CS2) for Computer Science Students2019 IEEE Frontiers in Education Conference (FIE)10.1109/FIE43999.2019.9028702(1-8)Online publication date: 17-Jun-2020
https://dl.acm.org/doi/10.1109/FIE43999.2019.9028702
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