Investigating the Transformative Impact of Generative AI on Academic Integrity Across Diverse Educational Domains
Abstract
Academic integrity is essential in educational institutes to ensure equal and fair learning. However, the increasing use of generative artificial intelligence (AI) in education has generated concerns about its integrity. The use of artificial intelligence (AI) to complete assignments, projects, and evaluations has raised concerns about unfair benefits and the legitimacy of the work being submitted. This study highlights the need for rules and systems to protect academic integrity as AI expands in education. This study attempts to evaluate AI-generated solutions at high school, college, and graduate levels based on three important metrics: Fulfillment, Presentation, and Helpfulness. This study implements an experiment using the proposed framework, and the findings show that the used generative AI models exceeds human-like behavior. Through this study, it was observed that there is a risk of bias against those with real efforts.
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AI-assisted assessments may create an unfair academic playing field by benefiting students with better access to AI tools and technology while disadvantaging those from underprivileged backgrounds.
“Additionally, AI-assisted assessments may create an unfair academic playing field by benefiting students with better access to AI tools and technology while disadvantag -ing those from underprivileged backgrounds [ 62, 64, 97].”
From Redefining student assessment in AI-infused learning environments: a systematic review of challenges and strategies for academic integrity (2026) · cites this paper as [64]
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- Authors
- Dhruv, A., Saha, S., Tyagi, S., & Jain, V.
- Affiliations
- Thompson Rivers University (CA)
- ORCID
- Tyagi, Shivani
- Venue
- 2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)
- Publisher
- IEEE
- Published
- 2024-05-02
- Pages
- 87-92
- OpenAlex
- W4399528669
- Cited by
- 12
- References
- 17
- Citations by year
- 2026: 1 · 2025: 10 · 2024: 1
- FWCI
- 5.48
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Advancement in Computation & Computer Technologies (InCACCT) (publishedVersion)
- Topics
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- generative AI, academic integrity, AI-generated content, artificial intelligence in education, AI evaluation metrics, assessment fairness, high school students, university students, graduate students, generative AI models
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