Book Title

Mastering Problem-Based Learning in Health Profession Programs: Principles, Procedures, and Best Practices

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Description

In the current digital era, significant advancements in Artificial Intelligence (AI) have influenced various fields worldwide, particularly within the health professional education sector. This progress has also percolated into the medical education system, where Problem-Based Learning (PBL) is routinely used as a key pedagogical strategy. In PBL, students are able to fully exert their exploratory skills by solve problems through a student-centered learning approach. PBL also fosters critical thinking and encourages self-directed learning through the inquiry of clinical case scenarios. This chapter investigates the integration of AI, specifically tools like ChatGPT, into PBL frameworks to enhance learning outcomes for medical and other health profession students. By leveraging sophisticated natural language processing capabilities such as large-language models (LLMs). Machine learning (ML), and natural language processing (NLP), AI empowers users to access immediate and accurate information, facilitating independent learning. The discussion encompasses current applications of AI-enhanced PBL in health professional education, and clinical education. Ultimately, the chapter aims to illustrate how AI can revolutionize PBL, fostering more effective and personalized educational experiences in medical training. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

First Page

219

Last Page

249

ISBN

978-303205405-0

Publication Date

1-1-2025

Keywords

Artificial intelligence, ChatGPT, Personalized learning, Problem-based learning, Surgical simulation

Disciplines

Artificial Intelligence and Robotics | Interprofessional Education | Medical Education | Medical Humanities | Medicine and Health Sciences

Problem-Based Learning and Artificial Intelligence

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