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Student perceptions of the acceptability of various code-writing practices

Published: 21 June 2014 Publication History

Abstract

This paper reports on research that used focus groups and a national online survey of computing students at Australian universities to investigate perceptions of acceptable academic practices in writing program code for assessment. The results indicate that computing students lack a comprehensive understanding of what constitutes acceptable academic practice with regard to writing program code. They are not clear on the need to reference code taken from other sources, or on how to do so. Where code from other sources is used, or inappropriate collaboration takes place between students, there appears to be a feeling that any academic misconduct is diminished or even nullified if the students subsequently work with the code to make it their own. These findings suggest a need for the development of standards that elucidate acceptable practices for computing, combined with ongoing education of computing students.

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    cover image ACM Conferences
    ITiCSE '14: Proceedings of the 2014 conference on Innovation & technology in computer science education
    June 2014
    378 pages
    ISBN:9781450328333
    DOI:10.1145/2591708
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    Published: 21 June 2014

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    Author Tags

    1. academic integrity
    2. computing education
    3. non-text-based assessment

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    ITiCSE '14 Paper Acceptance Rate 36 of 164 submissions, 22%;
    Overall Acceptance Rate 552 of 1,613 submissions, 34%

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    • (2024)Influence of Personality Traits on Plagiarism Through Collusion in Programming AssignmentsProceedings of the 2024 ACM Conference on International Computing Education Research - Volume 110.1145/3632620.3671121(143-153)Online publication date: 12-Aug-2024
    • (2023)Gamification to Help Inform Students About Programming Plagiarism and CollusionIEEE Transactions on Learning Technologies10.1109/TLT.2023.324389316:5(708-721)Online publication date: Oct-2023
    • (2023)Reporting less coincidental similarity to educate students about programming plagiarism and collusionComputer Science Education10.1080/08993408.2023.217806334:3(442-472)Online publication date: 21-Feb-2023
    • (2022)Predicting Student Success in CS2Proceedings of the 53rd ACM Technical Symposium on Computer Science Education - Volume 110.1145/3478431.3499276(140-146)Online publication date: 22-Feb-2022
    • (2022)It’s Okay Because I Worked Really Hard! – Student Justifications for Questionable Collaboration while Solving Computer Labs2022 IEEE Frontiers in Education Conference (FIE)10.1109/FIE56618.2022.9962546(1-9)Online publication date: 8-Oct-2022
    • (2019)Plagiarism in Programming AssessmentsACM Transactions on Computing Education10.1145/337115620:1(1-28)Online publication date: 9-Dec-2019
    • (2019)Collaboration Versus CheatingProceedings of the 50th ACM Technical Symposium on Computer Science Education10.1145/3287324.3287443(1004-1010)Online publication date: 22-Feb-2019
    • (2019)Variations on a ThemeProceedings of the Twenty-First Australasian Computing Education Conference10.1145/3286960.3286967(56-63)Online publication date: 29-Jan-2019
    • (2019)IndexThe Cambridge Handbook of Computing Education Research10.1017/9781108654555.033(895-906)Online publication date: 15-Feb-2019
    • (2019)A Case Study of Qualitative MethodsThe Cambridge Handbook of Computing Education Research10.1017/9781108654555.032(875-894)Online publication date: 15-Feb-2019
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