A Survey of Veterinary Student Perceptions on Integrating ChatGPT in Veterinary Education Through AI-Driven Exercises

Artificial intelligence (AI) in education is rapidly gaining attention, particularly with tools like ChatGPT, which have the potential to transform learning experiences. However, the application of such tools in veterinary education remains underexplored. This study aimed to design an AI-driven exercise and investigate veterinary students’ perceptions regarding the integration of ChatGPT into their education, specifically within the Year 5 Equine Medicine and Surgery course at City University of Hong Kong. Twenty-two veterinary students participated in an AI-driven exercise, where they created multiple-choice questions (MCQs) and evaluated ChatGPT's responses. The exercise was designed to promote active learning and a deeper understanding of complex concepts. The results indicate a generally positive reception, with 72.7% of students finding the exercise moderately to extremely engaging and 77.3% agreeing that it deepened their understanding. Additionally, 68.2% of students reported improvements in their critical thinking skills. Students with prior AI experience exhibited higher engagement levels and perceived the exercise as more effective. The study also found that engagement positively correlated with perceived usefulness, overall satisfaction, and the likelihood of recommending similar AI-driven exercises in other courses. Qualitative feedback underscored the interactive nature of this exercise and its usefulness in helping students understand complex concepts, although some students experienced confusion with AI-generated responses. While acknowledging the limitations of the technology and the small sample size, this study provides valuable insights into the potential benefits and challenges of incorporating AI-driven tools into veterinary education, highlighting the need for carefully considered integration of such tools into the curriculum.

© American Association of Veterinary Medical Colleges (AAVMC), 2024