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The battle of question formats: a comparative study of retrieval practice using very short answer questions and multiple choice questions.
BMC Med Educ
December 2024
Department of Gastroenterology and Hepatology, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA, The Netherlands.
Background: Retrieval practice is a highly effective learning strategy that enhances long-term retention by encouraging the active recall of information. However, the optimal question format for maximizing knowledge retention remains uncertain. In this study, we compared the effect of very short answer (VSAQ) versus multiple-choice question (MCQ) practice tests on students' knowledge retention.
View Article and Find Full Text PDFOpportunities and Challenges of Chatbots in Ophthalmology: A Narrative Review.
J Pers Med
December 2024
Department of Clinical Research, University of Southern Denmark, 5230 Odense, Denmark.
Artificial intelligence (AI) is becoming increasingly influential in ophthalmology, particularly through advancements in machine learning, deep learning, robotics, neural networks, and natural language processing (NLP). Among these, NLP-based chatbots are the most readily accessible and are driven by AI-based large language models (LLMs). These chatbots have facilitated new research avenues and have gained traction in both clinical and surgical applications in ophthalmology.
View Article and Find Full Text PDFEvaluating virtual reality anatomy training for novice anesthesiologists in performing ultrasound-guided brachial plexus blocks: a pilot study.
BMC Anesthesiol
December 2024
Department of Anesthesiology, Ningbo No.2 Hospital, No.41, Northwest Street, Ningbo, 315010, P.R. China.
Background: Developing proficiency in ultrasound-guided nerve block (UGNB) demands an intricate understanding of cross-sectional anatomy as well as spatial reasoning, which is a big challenge for beginners. The aim of this pilot study was to evaluate the feasibility of virtual reality (VR)-facilitated anatomy education in the first performance of ultrasound-guided interscalene brachial plexus blockade among novice anesthesiologists. We carried out pilot testing of this hypothesis using a prospective, single blind, randomized controlled trial.
View Article and Find Full Text PDFEmbracing Large Language Models for Adult Life Support Learning.
Cureus
December 2024
Oral and Maxillofacial Surgery, Kings College Hospital, London, GBR.
Article Synopsis
- The study evaluates the effectiveness of AI chatbots ChatGPT and Bard in answering multiple choice questions (MCQs) related to Intermediate Life Support and managing cardiac arrest.
- Both chatbots had similar performances, with Bard slightly outperforming ChatGPT, although the difference wasn't statistically significant.
- The explanations given by both chatbots, while not always correct, still contained useful information, highlighting their potential value in medical education.
Evaluation of modified essay questions (MEQs) as an assessment tool in third-year medical students' modular summative assessment.
BMC Med Educ
December 2024
Medical Education Department, Faculty of Medicine, Dar Al Uloom University, Riyadh, Saudi Arabia.
Aim: Whether case-based modified essay questions (MEQs) are crucial to summative assessment in medical curriculum is still debatable. The current study aimed to evaluate third-year medical students' performance in case-based MEQs and multiple-choice questions (MCQs) in summative assessment in the endocrine module.
Methods: Students' scores in mid and final module MEQs and MCQs were analyzed over four successive years from 2018/2019 to 2021/2022, where comparisons were made between students' scores in MEQs and MCQs, and between scores of students of different categories.
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