Open Educational Resources
Document Type
Assignment
Publication Date
Spring 3-1-2025
Abstract
The document outlines a structured approach for general health sciences students, including both undergraduates and graduates, to critically evaluate falsehoods in physiology using AI tools. Applicable to biology and other life sciences, the exercises are divided into three parts, each designed to enhance critical thinking and evidence-based decision-making. Part 1 focuses on debunking biological myths, such as the idea that muscle turns into fat if you stop exercising, by generating and refining AI responses. Part 2 involves using AI to gather and verify evidence-based information on health science myths, like homeopathy's efficacy in treating low back pain, emphasizing the importance of accurate citations. Part 3, tailored for graduate students, presents a fictional legal case about spinal fractures and patient autonomy, requiring students to investigate the case's implications and propose an evidence-based approach to patient care. Throughout the exercises, students reflect on the AI tools' usefulness, rate their experience, and suggest improvements. This approach highlights the importance of integrating AI in education to foster critical thinking and ethical considerations in healthcare practices.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
