Session 1: The Fundamentals of AI in HPE
Session 2: AI Powered Personalised Learning
Overview: What is Personalised Learning, Adaptive Learning and role of AI in Personalising Learning
Poh-Sun
Characteristics of Personalised Learning
What is Adaptive Learning
Ways AI can Personalise Learning
https://elearningindustry.com/how-ai-is-personalizing-education-for-every-student
https://elearningindustry.com/how-to-personalize-learning-using-ai
https://hbr.org/2019/10/how-ai-and-data-could-personalize-higher-education
https://copilot.microsoft.com/
Prompt -
AI powered personalised learning in health professions education
Copilot Response - (31 March 2024, Sunday, 1645hrs)
AI-powered personalized learning is revolutionizing health professions education. Let’s delve into how artificial intelligence (AI) is transforming the way students learn in the medical field:
Personalized Learning Experience:
One of the key benefits of AI in medical courses is its ability to provide a tailored learning experience for individual students.
AI-powered platforms analyze the strengths and weaknesses of each student, allowing educators to modify teaching methods to meet specific needs1.
Imagine a system that adapts to your learning pace, identifies areas where you need improvement, and customizes content accordingly.
Enhanced Diagnosis and Training:
AI can simulate real-world scenarios, enabling students to practice diagnosing medical conditions.
Virtual patients can exhibit symptoms, respond to treatments, and evolve over time, providing a dynamic learning environment.
Students can refine their diagnostic skills, learn from mistakes, and gain confidence through AI-driven simulations.
Embracing Uncertainty and Variability:
AI tools should embrace and convey the natural uncertainty and diversity present in human populations.
By recognizing that patients vary in their responses, AI can prepare students for the complexities of real-world practice2.
Educators play a crucial role in ensuring that AI tools align with clinical relevance and challenge recommendations when necessary.
Professional Development for Educators:
Healthcare educators need to be aware of AI’s capabilities and limitations.
Professional development programs can equip educators with the knowledge to effectively integrate AI into their teaching methods.
Educators should know when to trust AI recommendations and when to critically evaluate them2.
In summary, AI-powered personalized learning holds immense promise for the future of healthcare education. It empowers students, enhances diagnostic skills, and prepares the next generation of healthcare professionals for the dynamic challenges they’ll face in their careers.
https://elearningindustry.com/how-to-personalize-learning-using-ai
https://elearningindustry.com/how-ai-is-personalizing-education-for-every-student
https://copilot.microsoft.com/
Prompt -
basic ideas, principles and practices of AI in Health Professions
Education (HPE)
Copilot Response - (31 March 2024, Sunday, 1705hrs)
Certainly! Let’s explore the fundamentals of AI in health professions education (HPE). Artificial intelligence (AI) is rapidly transforming healthcare, and understanding its principles and applications is crucial for educators and learners in the field. Here are some essential concepts:
Overview of AI in Healthcare:
AI encompasses various methods and capabilities, including machine learning, algorithms, and neural networks.
While science fiction often portrays AI as human-like, the reality in 2021 is narrow AI, which focuses on specific tasks rather than general human-like abilities.
AI tools can enhance healthcare workflows, improve patient care, and optimize population health.
Educational Implications:
Incorporating AI Training: Educators must act promptly to integrate AI training across health professions. Failing to do so risks creating a workforce unprepared to leverage AI’s promise or navigate its challenges.
Understanding AI: Leaders in HPE should enhance their understanding of AI to guide current and future learners effectively.
Ethical Considerations: Learners need to grasp basic concepts of computer systems, programming, machine learning, and data science. AI tools should enhance teaching and learning while promoting equity and access1.
Courses and Programs:
AI for Health Care: Concepts and Applications: This course delves into core AI principles, Large Language Models, Generative AI, and their impact on healthcare2.
The Ethics of Big Data and AI: This program explores ethical considerations related to using Big Data and developing AI in healthcare3.
AI in Medical Education: A systematic review analyzing AI’s effects and challenges at different stages of medical education4.
In summary, educators play a pivotal role in preparing healthcare professionals to harness AI’s potential while upholding ethical standards. By embracing AI education, we empower the health workforce to thrive in an AI-driven landscape. 🌟
For more detailed information, you can refer to the full discussion paper1.
Lomis K, Jeffries P, Palatta A, Sage M, Sheikh J, Sheperis C, Whelan A. Artificial Intelligence for Health Professions Educators. NAM Perspect. 2021 Sep 8;2021:10.31478/202109a. doi: 10.31478/202109a. PMID: 34901780; PMCID: PMC8654471. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654471/
https://www.hsph.harvard.edu/ecpe/programs/ai-for-health-care-concepts-and-applications/
Zhang, W., Cai, M., Lee, H.J. et al. AI in Medical Education: Global situation, effects and challenges. Educ Inf Technol 29, 4611–4633 (2024). https://doi.org/10.1007/s10639-023-12009-8
No comments:
Post a Comment
Note: only a member of this blog may post a comment.