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AI meets AI: Artificial Intelligence and Academic Integrity - A Survey on Mitigating AI-Assisted Cheating in Computing Education

Authors:

Sumit ChakravartyAuthors Info & Claims

SIGITE '23: Proceedings of the 24th Annual Conference on Information Technology Education

Pages 79 - 83

https://doi.org/10.1145/3585059.3611449

Published: 11 October 2023 Publication History

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Abstract

This paper discusses pressing issues in the area where Artificial Intelligence (AI) meets Academic Integrity (AI). It starts by outlining the potential consequences of AI-assisted cheating, including the risks posed to education quality, fairness, and the credibility of academic institutions. After reviewing an array of strategies reported in the literature to counteract such cheating, this paper calls for rigorous research to assess the effectiveness of those strategies. It further suggests a range of research topics in detecting AI-generated content and highlights a promising research direction focusing on motivating students’ interest in learning through innovative AI applications that divert their efforts away from misuse of technology. Lastly, the paper suggests that addressing AI cheating requires ethical education, academia-industry collaboration, integration into AI ethics, and an international consortium. One of the unique contributions of this paper is outlining a range of potential research directions, both technical and non-technical, in this area where AI meets AI.

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Cited By

Abubakari M(2024)Overviewing the Maze of Research Integrity and False Positives Within AI-Enabled DetectorsImpacts of Generative AI on the Future of Research and Education10.4018/979-8-3693-0884-4.ch013(335-366)Online publication date: 20-Sep-2024
https://doi.org/10.4018/979-8-3693-0884-4.ch013
Jaber M(2024)New Innovations in Higher Education's Academic Integrity and Classroom StrategiesAcademic Integrity in the Age of Artificial Intelligence10.4018/979-8-3693-0240-8.ch015(281-300)Online publication date: 13-Feb-2024
https://doi.org/10.4018/979-8-3693-0240-8.ch015
Bikanga Ada M(2024)It Helps with Crap Lecturers and Their Low Effort: Investigating Computer Science Students’ Perceptions of Using ChatGPT for LearningEducation Sciences10.3390/educsci1410110614:10(1106)Online publication date: 11-Oct-2024
https://doi.org/10.3390/educsci14101106
Show More Cited By

Index Terms

AI meets AI: Artificial Intelligence and Academic Integrity - A Survey on Mitigating AI-Assisted Cheating in Computing Education
1. Applied computing
  1. Education
    1. E-learning
    2. Interactive learning environments

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Published In

cover image ACM Conferences

SIGITE '23: Proceedings of the 24th Annual Conference on Information Technology Education

October 2023

230 pages

ISBN:9798400701306

DOI:10.1145/3585059

Editors:
Ying Xie
Kennesaw State University, USA
,
Becky Rutherfoord
Kennesaw State University, USA
,
Hyesung Park
Georgia Gwinnett College, USA

Copyright © 2023 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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SIGITE: ACM Special Interest Group on Information Technology Education

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Association for Computing Machinery

New York, NY, United States

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Published: 11 October 2023

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SIGITE '23

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SIGITE '23: The 24th Annual Conference on Information Technology Education

October 11 - 14, 2023

GA, Marietta, USA

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Overall Acceptance Rate 176 of 429 submissions, 41%

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Cited By

Abubakari M(2024)Overviewing the Maze of Research Integrity and False Positives Within AI-Enabled DetectorsImpacts of Generative AI on the Future of Research and Education10.4018/979-8-3693-0884-4.ch013(335-366)Online publication date: 20-Sep-2024
https://doi.org/10.4018/979-8-3693-0884-4.ch013
Jaber M(2024)New Innovations in Higher Education's Academic Integrity and Classroom StrategiesAcademic Integrity in the Age of Artificial Intelligence10.4018/979-8-3693-0240-8.ch015(281-300)Online publication date: 13-Feb-2024
https://doi.org/10.4018/979-8-3693-0240-8.ch015
Bikanga Ada M(2024)It Helps with Crap Lecturers and Their Low Effort: Investigating Computer Science Students’ Perceptions of Using ChatGPT for LearningEducation Sciences10.3390/educsci1410110614:10(1106)Online publication date: 11-Oct-2024
https://doi.org/10.3390/educsci14101106
Nartgün ZKennedy E(2024)Cheating in Higher Education in the Age of Artifical IntelligenceInternational Journal on Lifelong Education and Leadership10.25233/ijlel.155383110:2(47-54)Online publication date: 31-Dec-2024
https://doi.org/10.25233/ijlel.1553831
Humble N(2024)Risk management strategy for generative AI in computing education: how to handle the strengths, weaknesses, opportunities, and threats?International Journal of Educational Technology in Higher Education10.1186/s41239-024-00494-x21:1Online publication date: 11-Dec-2024
https://doi.org/10.1186/s41239-024-00494-x
Filson CAtuase D(2024)Artificial intelligence and academic integrity: The role of academic librariansInformation Development10.1177/02666669241284230Online publication date: 3-Oct-2024
https://doi.org/10.1177/02666669241284230
Servin CKarichev NPagel M(2024)Unfolding Programming: How to Use AI Tools in Introductory Computing CoursesProceedings of the 25th Annual Conference on Information Technology Education10.1145/3686852.3687073(49-55)Online publication date: 10-Oct-2024
https://dl.acm.org/doi/10.1145/3686852.3687073
H. F. Tyler DGagnon ASt. George S(2024)AI in Criminal Justice Education: Assessing Educator’s Attitudes and ExperiencesJournal of Criminal Justice Education10.1080/10511253.2024.2413995(1-23)Online publication date: 15-Oct-2024
https://doi.org/10.1080/10511253.2024.2413995
Andrade-Hidalgo GMio-Cango PIparraguirre-Villanueva O(2024)Exploring the Impact of Artificial Intelligence on Research Ethics - A Systematic ReviewJournal of Academic Ethics10.1007/s10805-024-09579-8Online publication date: 23-Oct-2024
https://doi.org/10.1007/s10805-024-09579-8

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