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Industry-inspired guidelines improve students' pair programming communication

Authors:

John RichardsAuthors Info & Claims

ITiCSE '13: Proceedings of the 18th ACM conference on Innovation and technology in computer science education

Pages 135 - 140

https://doi.org/10.1145/2462476.2462504

Published: 01 July 2013 Publication History

Abstract

Novice pair programmers find communication within their pairs to be one of the greatest difficulties they face when starting to pair program. However, developers cannot pair program without a certain amount of communication. This research describes the development of an analytic coding scheme derived from the observation of the communication of expert pairs working in industry. Communication patterns identified from these expert pairs are being used to help novices learn to be more effective in their pair communication.

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Cited By

Küng JSchmid ABrovelli D(2022)Gender and pair programming–Effects of the gender composition of pairs on collaboration in a robotics workshopFrontiers in Education10.3389/feduc.2022.9736747Online publication date: 8-Aug-2022
https://doi.org/10.3389/feduc.2022.973674
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
Schulz SBerndt SHawlitschek A(2022)Exploring students’ and lecturers’ views on collaboration and cooperation in computer science courses - a qualitative analysisComputer Science Education10.1080/08993408.2021.202236133:3(318-341)Online publication date: 16-Jan-2022
https://doi.org/10.1080/08993408.2021.2022361
Show More Cited By

Index Terms

Industry-inspired guidelines improve students' pair programming communication
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education

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Information

Published In

cover image ACM Conferences

ITiCSE '13: Proceedings of the 18th ACM conference on Innovation and technology in computer science education

July 2013

384 pages

ISBN:9781450320788

DOI:10.1145/2462476

General Chair:
Janet Carter
University of Kent, UK
,
Program Chairs:
Ian Utting
University of Kent, UK
,
Alison Clear
Christchurch Polytechnic Institute of Technology, NZ

Copyright © 2013 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]

Sponsors

Bilkent University: Bilkent University
SIGCSE: ACM Special Interest Group on Computer Science Education

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 2013

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ITiCSE '13

Sponsor:

Bilkent University
SIGCSE

ITiCSE '13: Innovation and Technology in Computer Science Education conference 2013

July 1 - 3, 2013

Canterbury, England, UK

Acceptance Rates

ITiCSE '13 Paper Acceptance Rate 51 of 161 submissions, 32%;

Overall Acceptance Rate 552 of 1,613 submissions, 34%

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Cited By

Küng JSchmid ABrovelli D(2022)Gender and pair programming–Effects of the gender composition of pairs on collaboration in a robotics workshopFrontiers in Education10.3389/feduc.2022.9736747Online publication date: 8-Aug-2022
https://doi.org/10.3389/feduc.2022.973674
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
Schulz SBerndt SHawlitschek A(2022)Exploring students’ and lecturers’ views on collaboration and cooperation in computer science courses - a qualitative analysisComputer Science Education10.1080/08993408.2021.202236133:3(318-341)Online publication date: 16-Jan-2022
https://doi.org/10.1080/08993408.2021.2022361
Zieris F(2022)Understanding How Pair Programming Actually Works in Industry: Mechanisms, Patterns, and DynamicsErnst Denert Award for Software Engineering 202010.1007/978-3-030-83128-8_13(275-293)Online publication date: 1-Jan-2022
https://doi.org/10.1007/978-3-030-83128-8_13
Ying KRodríguez FDibble ABoyer K(2021)Understanding Women's Remote Collaborative Programming ExperiencesProceedings of the ACM on Human-Computer Interaction10.1145/34329524:CSCW3(1-29)Online publication date: 5-Jan-2021
https://dl.acm.org/doi/10.1145/3432952
Parker ALewis GScott MBradley SDevlin M(2020)Improving Technical Communication with a Cue Awareness Intervention using Poster PresentationsProceedings of the 4th Conference on Computing Education Practice10.1145/3372356.3372361(1-4)Online publication date: 9-Jan-2020
https://dl.acm.org/doi/10.1145/3372356.3372361
de Lima JSeixas BPaolillo MKemczinski A(2018)An Analysis of the Collaborative Aspects of Pair Programming Support ToolsProceedings of the XIV Brazilian Symposium on Information Systems10.1145/3229345.3229348(1-8)Online publication date: 4-Jun-2018
https://dl.acm.org/doi/10.1145/3229345.3229348
Zieris FBertolino ACanfora GElbaum S(2015)Qualitative analysis of knowledge transfer in pair programmingProceedings of the 37th International Conference on Software Engineering - Volume 210.5555/2819009.2819197(855-858)Online publication date: 16-May-2015
https://dl.acm.org/doi/10.5555/2819009.2819197
Zarb MHughes JRichards JDecker AEiselt KAlphonce CTims J(2015)Further Evaluations of Industry-Inspired Pair Programming Communication Guidelines with Undergraduate StudentsProceedings of the 46th ACM Technical Symposium on Computer Science Education10.1145/2676723.2677241(314-319)Online publication date: 24-Feb-2015
https://dl.acm.org/doi/10.1145/2676723.2677241
Zieris F(2015)Qualitative Analysis of Knowledge Transfer in Pair Programming2015 IEEE/ACM 37th IEEE International Conference on Software Engineering10.1109/ICSE.2015.277(855-858)Online publication date: May-2015
https://doi.org/10.1109/ICSE.2015.277
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