Full Description
Academic Integrity Meets Artificial Intelligence examines academic integrity practices in higher education institutions (HEIs) in the Caribbean, assessing the current and potential impact of generative artificial intelligence tools on academic integrity and how HEIs globally have been responding.
Using the Academic Integrity Rating System (AIRS), Baker-Gardner assesses the academic integrity practices of 31 HEIs native to the Caribbean to determine whether these institutions have the structures in place to manage the challenges which are likely to result from the unethical use and possible misuse of generative artificial intelligence tools such as ChatGPT.
Baker-Gardner promotes an educative approach to academic integrity in which students are supported in the development of academic integrity knowledge and practices through structured programmes. This includes providing them with an understanding of the use of generative artificial intelligence tools and instructing them in how and when to use these tools ethically to support learning.
Contents
Foreword; Sarah Elaine Eaton
Part 1. The Context
Chapter 1. Overview of Generative Artificial Intelligence Tools
Chapter 2. The Use of GenAI Tools in Education
Chapter 3. An Overview of Academic Integrity and Academic Misconduct
Chapter 4. The Nexus Between GenAI and Academic Integrity
Chapter 5. Potential Impact of GenAI on Academic Integrity
Part 2. The Study
Chapter 6. Overview of Higher Education in the Caribbean
Chapter 7. Methodology and Demographic Data
Chapter 8. Demographic Data and Overall Scores for AIRS
Chapter 9. Policies and Procedures
Chapter 10. Academic Integrity Groups and Committees
Chapter 11. Structural Resources
Chapter 12. Education for Academic Integrity
Chapter 13. Process Evaluation, Data Collection and Communication
Chapter 14. Building Academic Integrity Knowledge in the Caribbean
Chapter 15. Summary of the Findings from the Research
Part 3. The Assessment
Chapter 16. Are We Ready? The Context
Chapter 17. Caribbean HEIs' Capacity to Embrace GenAI with Integrity
Chapter 18. Recommendations
Chapter 19. The Way Forward
