Abstract
This paper critically explores the role of ChatGPT in higher education, with a particular emphasis on preserving the academic integrity of student assessments via a risk management paradigm. A literature analysis was conducted to understand existing strategies for addressing academic misconduct and the necessity of equipping students with skills suitable for an AI-driven workforce. The paper’s unique contribution lies in its use of a risk management approach to enable educators to identify potential risks, devise mitigation strategies, and ultimately apply a proposed conceptual framework in educational environments. The paper concludes with identifying practical limitations and proposed future research areas, focusing on the uncertainties that emerge from the evolution of AI LLMs and the integration of comprehensive AI tools that pose new risks and opportunities.
Original language | English |
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Title of host publication | Proceedings of the 6th International Conference on Finance, Economics, Management and IT Business, FEMIB 2024 |
Editors | Mitra Arami, Patricia Baudier, Victor Chang |
Publisher | SciTePress |
Pages | 79-85 |
Number of pages | 7 |
ISBN (Electronic) | 9789897586958 |
ISBN (Print) | 9789897586958 |
DOIs | |
Publication status | Published - Apr 2024 |
Publication series
Name | Proceedings of the 6th International Conference on Finance, Economics, Management and IT Business, FEMIB 2024 |
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Bibliographical note
Publisher Copyright:Copyright © 2024 by SCITEPRESS - Science and Technology Publications, Lda.
Keywords
- Artificial Intelligence
- Big Data
- Higher Education
- Large Language Models
- Risk Management