Addressing Academic Dishonesty in Higher Education: A Systematic Review of Generative AI’s Impact
Generative Artificial Intelligence (GAI) introduces new opportunities for society. While some universities have adopted GAI with a more hostile stance, others have done so with a more progressive perspective. In light of this contradiction, the main query is what is causing this controversy. The et...
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International Council for Open and Distance Education (ICDE)
2025-07-01
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| Series: | Open Praxis |
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| Online Access: | https://account.openpraxis.org/index.php/up-j-op/wp-admin/ALFA_DATA/alfacgiapi/index.php/up-j-op/article/view/https:/account.openpraxis.org/index.php/up-j-op/wp-admin/ALFA_DATA/alfacgiapi/index.php/up-j-op/announcement/view/https:/account.openpraxis.org/index.php/up-j-op/wp-admin/ALFA_DATA/alfacgiapi/index.php/up-j-op/article/view/https:/account.openpraxis.org/index.php/up-j-op/wp-admin/ALFA_DATA/alfacgiapi/index.php/up-j-op/article/view/820 |
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| author | Ramesh Chander Sharma Suman Kalyan Panja |
| author_facet | Ramesh Chander Sharma Suman Kalyan Panja |
| author_sort | Ramesh Chander Sharma |
| collection | DOAJ |
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Generative Artificial Intelligence (GAI) introduces new opportunities for society. While some universities have adopted GAI with a more hostile stance, others have done so with a more progressive perspective. In light of this contradiction, the main query is what is causing this controversy. The ethical issues surrounding GAI and academic dishonesty in higher education, however, are the special focus of the current study. 23 previous studies published between 2022 and 2024 served as the foundation for this systematic literature review (SLR). Three educational theories—digital innovation, diffusion of innovation, and thing ethnography—form the basis of this study. A content analysis of the research corpus was done to find important themes. The findings are synthesized by employing a novel thematic analysis approach. Research questions determine the feasibility of academic integrity in the face of plagiarism or cheating. Considering GAI, existing curricula and assessment procedures show room for modification. There are technological, institutional, or individual issues around academic dishonesty. Furthermore, problems with legitimacy and ethics are also evident. The current guidelines are consistent rather than cohesive. Based on this idea, the current researchers proposed a thorough set of guidelines for the education community. The results of this study are thought to offer comprehensive insights into addressing academic dishonesty in higher education, especially in the age of GAI. The proposed ethical framework explains how it can theoretically contribute to higher education.
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| format | Article |
| id | doaj-art-fd9c5614b847454dbf65d97b9f9ccf90 |
| institution | Matheson Library |
| issn | 1369-9997 2304-070X |
| language | English |
| publishDate | 2025-07-01 |
| publisher | International Council for Open and Distance Education (ICDE) |
| record_format | Article |
| series | Open Praxis |
| spelling | doaj-art-fd9c5614b847454dbf65d97b9f9ccf902025-07-10T14:23:26ZengInternational Council for Open and Distance Education (ICDE)Open Praxis1369-99972304-070X2025-07-0117210.55982/openpraxis.17.2.820Addressing Academic Dishonesty in Higher Education: A Systematic Review of Generative AI’s ImpactRamesh Chander Sharma0https://orcid.org/0000-0002-1371-1157Suman Kalyan Panja1https://orcid.org/0000-0002-9097-4938Dr B R Ambedkar University Delhi, New DelhiAssam University, Silchar Generative Artificial Intelligence (GAI) introduces new opportunities for society. While some universities have adopted GAI with a more hostile stance, others have done so with a more progressive perspective. In light of this contradiction, the main query is what is causing this controversy. The ethical issues surrounding GAI and academic dishonesty in higher education, however, are the special focus of the current study. 23 previous studies published between 2022 and 2024 served as the foundation for this systematic literature review (SLR). Three educational theories—digital innovation, diffusion of innovation, and thing ethnography—form the basis of this study. A content analysis of the research corpus was done to find important themes. The findings are synthesized by employing a novel thematic analysis approach. Research questions determine the feasibility of academic integrity in the face of plagiarism or cheating. Considering GAI, existing curricula and assessment procedures show room for modification. There are technological, institutional, or individual issues around academic dishonesty. Furthermore, problems with legitimacy and ethics are also evident. The current guidelines are consistent rather than cohesive. Based on this idea, the current researchers proposed a thorough set of guidelines for the education community. The results of this study are thought to offer comprehensive insights into addressing academic dishonesty in higher education, especially in the age of GAI. The proposed ethical framework explains how it can theoretically contribute to higher education. https://account.openpraxis.org/index.php/up-j-op/wp-admin/ALFA_DATA/alfacgiapi/index.php/up-j-op/article/view/https:/account.openpraxis.org/index.php/up-j-op/wp-admin/ALFA_DATA/alfacgiapi/index.php/up-j-op/announcement/view/https:/account.openpraxis.org/index.php/up-j-op/wp-admin/ALFA_DATA/alfacgiapi/index.php/up-j-op/article/view/https:/account.openpraxis.org/index.php/up-j-op/wp-admin/ALFA_DATA/alfacgiapi/index.php/up-j-op/article/view/820generative artificial intelligenceacademic dishonestyacademic integritydigital innovationdiffusion of innovationthing ethnography |
| spellingShingle | Ramesh Chander Sharma Suman Kalyan Panja Addressing Academic Dishonesty in Higher Education: A Systematic Review of Generative AI’s Impact Open Praxis generative artificial intelligence academic dishonesty academic integrity digital innovation diffusion of innovation thing ethnography |
| title | Addressing Academic Dishonesty in Higher Education: A Systematic Review of Generative AI’s Impact |
| title_full | Addressing Academic Dishonesty in Higher Education: A Systematic Review of Generative AI’s Impact |
| title_fullStr | Addressing Academic Dishonesty in Higher Education: A Systematic Review of Generative AI’s Impact |
| title_full_unstemmed | Addressing Academic Dishonesty in Higher Education: A Systematic Review of Generative AI’s Impact |
| title_short | Addressing Academic Dishonesty in Higher Education: A Systematic Review of Generative AI’s Impact |
| title_sort | addressing academic dishonesty in higher education a systematic review of generative ai rsquo s impact |
| topic | generative artificial intelligence academic dishonesty academic integrity digital innovation diffusion of innovation thing ethnography |
| url | https://account.openpraxis.org/index.php/up-j-op/wp-admin/ALFA_DATA/alfacgiapi/index.php/up-j-op/article/view/https:/account.openpraxis.org/index.php/up-j-op/wp-admin/ALFA_DATA/alfacgiapi/index.php/up-j-op/announcement/view/https:/account.openpraxis.org/index.php/up-j-op/wp-admin/ALFA_DATA/alfacgiapi/index.php/up-j-op/article/view/https:/account.openpraxis.org/index.php/up-j-op/wp-admin/ALFA_DATA/alfacgiapi/index.php/up-j-op/article/view/820 |
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