Simulation, in medical education has provided a novel way to impart education which will help students acquire the required skills to achieve their learning objectives. The aim of our study was to evaluate the performance of students exposed to otoscopy simulator-based learning versus traditional learning with observation and also to know the students' perceptions via a questionnaire at the end of the module. This was a prospective interventional study, conducted on third-year medical students, sixty in number, divided into two groups by the lottery method. Group A consisting 30 students was posted for traditional learning with observation and group B for learning on the otoscopy with a simulator. After the study students were assessed on usage of otoscopy by using an OSCE checklist to assess psychomotor skills. Seven parameters were observed and scored. After the OSCE, students were crossed over. A pre-validated 9-question survey, with both qualitative and quantitative components, assessed learner satisfaction about the teaching-learning method. When the OSCE scores of the two groups were compared, the otoscopy with simulation method was significantly better (6.37 ± 0.718) than the traditional method (5.60 ± 1.037). The perceptions of the students were assessed qualitatively and quantitatively with the 9-question survey of which the first 5 questions of the survey were scored on a 5-point Likert scale. The survey showed that 61.7% of the students strongly agreed that the simulation event improved their confidence, 38.5% strongly agreed that the simulation event stimulated interest. Besides, 81.7% strongly agreed that the overall quality of the event was positive. In addition, 66.7% of the students strongly agreed that the simulation method was better and 6.7% strongly agreed that the traditional method was better. Simulation is a great tool complementary to clinical study and plays a pivotal role in bridging the educational gap.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11890791PMC
http://dx.doi.org/10.1007/s12070-024-05142-4DOI Listing

Publication Analysis

Top Keywords

traditional learning
12
learning observation
12
method better
12
agreed simulation
12
students
10
otoscopy simulator
8
medical students
8
students assessed
8
9-question survey
8
simulation method
8

Similar Publications

AI-Driven Discovery of Highly Specific and Efficacious hCES2A Inhibitors for Ameliorating Irinotecan-Triggered Gut Toxicity.

J Med Chem

March 2025

State Key Laboratory of Discovery and Utilization of Functional Components in Traditional Chinese Medicine; Shanghai Frontiers Science Center of TCM Chemical Biology; Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.

The anticancer agent irinotecan often induces severe delayed-onset diarrhea, inhibiting human carboxylesterase 2A (hCES2A) can significantly alleviate irinotecan-triggered gut toxicity (ITGT). This work presents an efficient workflow for design and developing novel efficacious hCES2A inhibitors. A well-training machine learning model identified as a lead compound, while compound was developed as a novel time-dependent hCES2A inhibitor (IC = 0.

View Article and Find Full Text PDF

Within a recent decade, graph neural network (GNN) has emerged as a powerful neural architecture for various graph-structured data modelling and task-driven representation learning problems. Recent studies have highlighted the remarkable capabilities of GNNs in handling complex graph representation learning tasks, achieving state-of-the-art results in node/graph classification, regression, and generation. However, most traditional GNN-based architectures like GCN and GraphSAGE still faced several challenges related to the capability of preserving the multi-scaled topological structures.

View Article and Find Full Text PDF

Background: Plant-based milk alternatives (PBMA) are increasingly popular due to rising lactose intolerance and environmental concerns over traditional dairy products. However, limited efforts have been made to develop rapid authentication methods to verify their biological origin.

Objective: In this study, we developed a rapid, on-site analytical method for the authentication and identification of PBMA made by six different plant species utilizing a portable Raman spectrometer coupled with machine learning.

View Article and Find Full Text PDF

Objectives: to highlight the effect of using clinical simulation in the training of undergraduate nursing students for the development of skills in cardiovascular health assessment.

Methods: a systematic review was conducted in the PubMed/MEDLINE, LILACS, Scopus, EBSCO, Web of Science, and Science Direct databases from August to September 2023. Of the 685 articles identified, 6 were selected, consisting of 4 experimental studies and 2 quasi-experimental studies, all of good methodological quality according to the Joanna Briggs Institute.

View Article and Find Full Text PDF

Background: The increasing integration of artificial intelligence (AI) systems into critical societal sectors has created an urgent demand for robust privacy-preserving methods. Traditional approaches such as differential privacy and homomorphic encryption often struggle to maintain an effective balance between protecting sensitive information and preserving data utility for AI applications. This challenge has become particularly acute as organizations must comply with evolving AI governance frameworks while maintaining the effectiveness of their AI systems.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!