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Examinator v3.0: Cheating Detection in Online Take-Home Exams

Published: 20 July 2023 Publication History

Abstract

Examinator v3.0 detects cheating in online take-home exams by comparing answers and the timestamps they were entered. A web interface enables efficient manual inspection. Use of the tool reveals that certain question types substantially enhance cheating detection, demonstrating the potential of automated algorithmic detection at scale. Examinator v3.0 has analyzed 915,831 pairs of exam submissions across three courses over two semesters at a top U.S. institution, identifying 46 instances of cheating.

References

[1]
Keith L Adkins and David A Joyner. 2022. Scaling anti-plagiarism efforts to meet the needs of large online computer science classes: Challenges, solutions, and recommendations. Journal of Computer Assisted Learning, Vol. 38, 6 (2022), 1603--1619.
[2]
Abdullah M Almutawa and Sai Sruthi. 2022. Students' perspective towards online proctoring in exams during COVID-19. Journal of Engineering Research, Vol. 10, 4A (2022).
[3]
Raghav Apoorv, Akshay Dahiya, Uma Sreeram, Bharat Rahuldhev Patil, India Irish, Rocko Graziano, and Thad Starner. 2020. Examinator: A Plagiarism Detection Tool for Take-Home Exams. In Proceedings of the Seventh ACM Conference on Learning@ Scale. 261--264.
[4]
Lars Bengtsson. 2019. Take-home exams in higher education: A systematic review. Education Sciences, Vol. 9, 4 (2019), 267.
[5]
Canvas. n.d. How do I create a quiz using New Quizzes? https://community.canvaslms.com/t5/Instructor-Guide/How-do-I-create-a-quiz-using-New-Quizzes/ta-p/1173 Retrieved April 7, 2023 from
[6]
Martin Dick, Judy Sheard, Cathy Bareiss, Janet Carter, Donald Joyce, Trevor Harding, and Cary Laxer. 2002. Addressing student cheating: definitions and solutions. ACM SigCSE Bulletin, Vol. 35, 2 (2002), 172--184.
[7]
Jiameng Du, Yifan Song, Mingxiao An, Marshall An, Christopher Bogart, and Majd Sakr. 2022. Cheating Detection in Online Assessments via Timeline Analysis. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1. 98--104.
[8]
David Goldberg. 2021. Programming in a pandemic: Attaining academic integrity in online coding courses. Communications of the Association for Information Systems, Vol. 48, 1 (2021), 6.
[9]
David N Harpp and James J Hogan. 1993. Crime in the classroom: Detection and prevention of cheating on multiple-choice exams. Journal of Chemical Education, Vol. 70, 4 (1993), 306.
[10]
Phil Hill. 2023. State of higher ed LMS market for US and Canada: Year-end 2022 edition. Dostupno na: https://philonedtech.com/state-of-higher-ed-lms-market-for-us-and-canada-year-end-2022-edition/[Pristupljeno: 31.01.2023.] (2023).
[11]
Chun-Hua Hsiao. 2015. Impact of ethical and affective variables on cheating: comparison of undergraduate students with and without jobs. Higher Education, Vol. 69, 1 (2015), 55--77.
[12]
Fakhroddin Noorbehbahani, Azadeh Mohammadi, and Mohammad Aminazadeh. 2022. A systematic review of research on cheating in online exams from 2010 to 2021. Education and Information Technologies, Vol. 27, 6 (2022), 8413--8460.
[13]
Jochen Ranger, Nico Schmidt, and Anett Wolgast. 2020. The detection of cheating on E-exams in higher education-the performance of several old and some new indicators. Frontiers in Psychology, Vol. 11 (2020), 568825.
[14]
Peter Salhofer. 2017. Analysing student behavior in CS courses: A case-study on detecting and preventing cheating. In 2017 IEEE Global Engineering Education Conference (EDUCON). IEEE, 1426--1431.
[15]
Talia Waltzer and Audun Dahl. 2022. Why do students cheat? Perceptions, evaluations, and motivations. Ethics & Behavior (2022), 1--21.
[16]
Krist Wongsuphasawat and Ben Shneiderman. 2009. Finding comparable temporal categorical records: A similarity measure with an interactive visualization. In 2009 IEEE Symposium on Visual Analytics Science and Technology. 27--34. https://doi.org/10.1109/VAST.2009.5332595

Cited By

View all
  • (2024)Answer Watermarking: Using Answer Generation Assistance Tools to Find Evidence of CheatingProceedings of the Eleventh ACM Conference on Learning @ Scale10.1145/3657604.3664712(519-523)Online publication date: 9-Jul-2024
  • (2024)Forums, Feedback, and Two Kinds of AI: A Selective History of Learning @ ScaleProceedings of the Eleventh ACM Conference on Learning @ Scale10.1145/3657604.3664667(376-382)Online publication date: 9-Jul-2024
  • (2024)Examinator v4.0 : Cheating Detection in Online Take-Home ExamsProceedings of the Eleventh ACM Conference on Learning @ Scale10.1145/3657604.3664659(330-334)Online publication date: 9-Jul-2024
  • Show More Cited By

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  1. Examinator v3.0: Cheating Detection in Online Take-Home Exams

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        cover image ACM Other conferences
        L@S '23: Proceedings of the Tenth ACM Conference on Learning @ Scale
        July 2023
        445 pages
        ISBN:9798400700255
        DOI:10.1145/3573051
        This work is licensed under a Creative Commons Attribution International 4.0 License.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 20 July 2023

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        Author Tags

        1. academic integrity
        2. cheating detection
        3. online learning
        4. take-home exams

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        • Short-paper

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        L@S '23
        L@S '23: Tenth ACM Conference on Learning @ Scale
        July 20 - 22, 2023
        Copenhagen, Denmark

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        Overall Acceptance Rate 117 of 440 submissions, 27%

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        Cited By

        View all
        • (2024)Answer Watermarking: Using Answer Generation Assistance Tools to Find Evidence of CheatingProceedings of the Eleventh ACM Conference on Learning @ Scale10.1145/3657604.3664712(519-523)Online publication date: 9-Jul-2024
        • (2024)Forums, Feedback, and Two Kinds of AI: A Selective History of Learning @ ScaleProceedings of the Eleventh ACM Conference on Learning @ Scale10.1145/3657604.3664667(376-382)Online publication date: 9-Jul-2024
        • (2024)Examinator v4.0 : Cheating Detection in Online Take-Home ExamsProceedings of the Eleventh ACM Conference on Learning @ Scale10.1145/3657604.3664659(330-334)Online publication date: 9-Jul-2024
        • (2024)Scaling Classrooms: A Forum for Practitioners Seeking, Developing and Adapting their Own ToolsProceedings of the Eleventh ACM Conference on Learning @ Scale10.1145/3657604.3664641(563-564)Online publication date: 9-Jul-2024
        • (2024)Log Analyzer for English Proficiency Test Cheating Detection2024 12th International Conference on Information and Communication Technology (ICoICT)10.1109/ICoICT61617.2024.10698253(115-122)Online publication date: 7-Aug-2024

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