research-article

Strategies for Maintaining Academic Integrity in First-Year Computing Courses

Authors:

Matthew Butler,

Katrina Falkner,

Michael Morgan,

Amali WeerasingheAuthors Info & Claims

ITiCSE '17: Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education

Pages 244 - 249

https://doi.org/10.1145/3059009.3059064

Published: 28 June 2017 Publication History

Abstract

Safeguarding academic integrity is an issue of concern to all computing academics due to high and rising levels of plagiarism and other cheating in computing courses. There have been many studies of the cheating and plagiarism practices of computing students and the factors that can influence these practices, and a variety of strategies for reducing cheating have been proposed. This national study of first-year computing programs provides insights into what strategies computing academics use to discourage or prevent their students from cheating. Having interviewed 30 academics from 25 universities we found 21 different types of strategy, which we classified into five themes: education; discouraging cheating; making cheating difficult; and empowerment. We also found that academics often employ strategies across all of these themes.

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Cited By

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Richards MWaugh KSlaymaker MPetre MWoodthorpe JGooch D(2024)Bob or Bot: Exploring ChatGPT's Answers to University Computer Science AssessmentACM Transactions on Computing Education10.1145/363328724:1(1-32)Online publication date: 14-Jan-2024
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Sherif EEverson JKivuva FKirdani-Ryan MKo A(2024)Exploring the Impact of Assessment Policies on Marginalized Students' Experiences in Post-Secondary Programming CoursesProceedings of the 2024 ACM Conference on International Computing Education Research - Volume 110.1145/3632620.3671100(233-245)Online publication date: 12-Aug-2024
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Index Terms

Strategies for Maintaining Academic Integrity in First-Year Computing Courses
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs

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Published In

cover image ACM Conferences

ITiCSE '17: Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education

June 2017

412 pages

ISBN:9781450347044

DOI:10.1145/3059009

Conference Chairs:
Renzo Davoli
University of Bologna, Italy
,
Michael Goldweber
Xavier University, USA
,
Program Chairs:
Guido Rößling
Technische Universität Darmstadt, Germany
,
Irene Polycarpou
University of Central Lancashire, Cyprus

Copyright © 2017 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: 28 June 2017

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Australian Council of Deans of ICT

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ITiCSE '17

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SIGCSE

ITiCSE '17: Innovation and Technology in Computer Science Education

July 3 - 5, 2017

Bologna, Italy

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ITiCSE '17 Paper Acceptance Rate 56 of 175 submissions, 32%;

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

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Cited By

Zviel-Girshin R(2024)The Good and Bad of AI Tools in Novice Programming EducationEducation Sciences10.3390/educsci1410108914:10(1089)Online publication date: 6-Oct-2024
https://doi.org/10.3390/educsci14101089
Richards MWaugh KSlaymaker MPetre MWoodthorpe JGooch D(2024)Bob or Bot: Exploring ChatGPT's Answers to University Computer Science AssessmentACM Transactions on Computing Education10.1145/363328724:1(1-32)Online publication date: 14-Jan-2024
https://dl.acm.org/doi/10.1145/3633287
Sherif EEverson JKivuva FKirdani-Ryan MKo A(2024)Exploring the Impact of Assessment Policies on Marginalized Students' Experiences in Post-Secondary Programming CoursesProceedings of the 2024 ACM Conference on International Computing Education Research - Volume 110.1145/3632620.3671100(233-245)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.1145/3632620.3671100
Sheard JDenny PHellas ALeinonen JMalmi LSimon Stephenson BStone JBattestilli LRebelsky SShoop L(2024)Instructor Perceptions of AI Code Generation Tools - A Multi-Institutional Interview StudyProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630880(1223-1229)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630880
Strachan ROguna COruche U(2024)The Postgraduate Student Perspective on Academic Misconduct in the Era of Essay Mills and Generative AI: A Case Study from Northeast England2024 IEEE Global Engineering Education Conference (EDUCON)10.1109/EDUCON60312.2024.10578821(1-7)Online publication date: 8-May-2024
https://doi.org/10.1109/EDUCON60312.2024.10578821
Prather JDenny PLeinonen JBecker BAlbluwi ICraig MKeuning HKiesler NKohn TLuxton-Reilly AMacNeil SPetersen APettit RReeves BSavelka JLaakso MMonga MSimon Sheard J(2023)The Robots Are Here: Navigating the Generative AI Revolution in Computing EducationProceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education10.1145/3623762.3633499(108-159)Online publication date: 22-Dec-2023
https://dl.acm.org/doi/10.1145/3623762.3633499
Karnalim OSimon Chivers W(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
https://doi.org/10.1109/TLT.2023.3243893
Riese EStenbom S(2023)Engineering Students’ Experiences of Assessment in Introductory Computer Science CoursesIEEE Transactions on Education10.1109/TE.2023.323889566:4(350-359)Online publication date: Aug-2023
https://doi.org/10.1109/TE.2023.3238895
Moyo RNdebvu SZimba MMbelwa J(2023)Using CNN to Detect the Use of Mobile Phone in Examination Rooms2023 First International Conference on the Advancements of Artificial Intelligence in African Context (AAIAC)10.1109/AAIAC60008.2023.10465434(1-6)Online publication date: 15-Nov-2023
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Karnalim OSimon Chivers W(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
https://doi.org/10.1080/08993408.2023.2178063
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