Strategies, Tactics, and Techniques to Mitigate Against AI in Tertiary Education
Preserving Academic Integrity and Credibility
Bibliographic Data
| ID | 22200441 |
|---|---|
| Authors | Stanley A V Paul (University of Guyana) |
| Year | 2024 |
| Volume | 4 |
| Issue | 3 |
| Pages | 133-135 |
| Publication date | 2024-05-25 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Integrated Journal for Research in Arts and Humanities (JOURNAL) |
| Journal identifiers | ISSN: 2583-1712 • E-ISSN: 2583-1712 |
| Publisher | Stallion Publication (PUBLISHER) |
| DOI | 10.55544/ijrah.4.3.26 |
| OpenAlex | W4399927898 |
| Language | EN |
| Citations received | 1 |
| References cited | 2 |
The proliferation of artificial intelligence (AI) in tertiary education poses significant challenges to academic integrity and credibility. This study explores effective strategies, tactics, and techniques to mitigate these risks. Through a comprehensive literature review, analysis of current practices, and case studies, the research offers actionable recommendations for educators and policymakers. The findings highlight the importance of a multifaceted approach, combining technological solutions, pedagogical reforms, and ethical guidelines to uphold the standards of academic integrity in the face of AI advancements
Academic integrity · Credibility · Engineering ethics · Higher education · Mathematics education · Political science · Academic integrity and plagiarism · Computer Science · Deception detection and forensic psychology · Engineering · Ethics in Business and Education · Law · Psychology · Social Psychology
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |