AIMC Topic: Problem-Based Learning
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Randomized Controlled Study on the Impact of Problem-Based Learning Combined With Large Language Models on Critical Thinking Skills in Nursing Students.
Nurse educator
Apr 22, 2025
BACKGROUND: The integration of Large Language Models (LLMs) into nursing education presents a novel approach to enhancing critical thinking skills. This study evaluated the effectiveness of LLM-assisted Problem-Based Learning (PBL) compared to tradit...
A tutorial activity for students to experience generative artificial intelligence: students' perceptions and actions.
Advances in physiology education
Mar 19, 2025
Freely accessible generative artificial intelligence (GenAI) poses challenges to physiology education regarding learning and academic integrity. Although many studies have explored the capabilities of GenAI to complete assessments, few have implement...
Harnessing generative AI in exercise and sports science education: enhancing real-world learning and overcoming traditional barriers in data analysis.
Advances in physiology education
Mar 13, 2025
Generative AI (GenAI) offers transformative potential for exercise and sports science education, addressing traditional data analysis and visualization barriers while promoting real-world learning. This Perspectives article explores how integrating G...
Application of ChatGPT-assisted problem-based learning teaching method in clinical medical education.
BMC medical education
Jan 11, 2025
INTRODUCTION: Artificial intelligence technology has a wide range of application prospects in the field of medical education. The aim of the study was to measure the effectiveness of ChatGPT-assisted problem-based learning (PBL) teaching for urology ...
Comparison of active learning algorithms in classifying head computed tomography reports using bidirectional encoder representations from transformers.
International journal of computer assisted radiology and surgery
Jan 8, 2025
PURPOSE: Systems equipped with natural language (NLP) processing can reduce missed radiological findings by physicians, but the annotation costs are burden in the development. This study aimed to compare the effects of active learning (AL) algorithms...
Fine-Grained Fidgety Movement Classification Using Active Learning.
IEEE journal of biomedical and health informatics
Jan 7, 2025
Typically developing infants, between the corrected age of 9-20 weeks, produce fidgety movements. These movements can be identified with the General Movement Assessment, but their identification requires trained professionals to conduct the assessmen...
WISE: Efficient WSI selection for active learning in histopathology.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Oct 28, 2024
Deep neural network (DNN) models have been applied to a wide variety of medical image analysis tasks, often with the successful performance outcomes that match those of medical doctors. However, given that even minor errors in a model can impact pati...
Enhancing self-directed learning with custom GPT AI facilitation among medical students: A randomized controlled trial.
Medical teacher
Oct 19, 2024
OBJECTIVE: This study aims to assess the impact of LearnGuide, a specialized ChatGPT tool designed to support self-directed learning among medical students.
Active inference goes to school: the importance of active learning in the age of large language models.
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Aug 19, 2024
Human learning essentially involves embodied interactions with the material world. But our worlds now include increasing numbers of powerful and (apparently) disembodied generative artificial intelligence (AI). In what follows we ask how best to unde...
Efficient artificial intelligence-based assessment of the gastroesophageal valve with Hill classification through active learning.
Scientific reports
Aug 13, 2024
Standardized assessment of the gastroesophageal valve during endoscopy, attainable via the Hill classification, is important for clinical assessment and therapeutic decision making. The Hill classification is associated with the presence of hiatal he...
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