Literature DB >> 25242658

Evaluation of use of e-Learning in undergraduate radiology education: a review.

Saad Zafar1, Saima Safdar2, Aasma N Zafar3.   

Abstract

PURPOSE: The aim of this review is to investigate the evaluative outcomes present in the literature according to Kirkpatrick's learning model and to examine the nature and characteristics of the e-Learning interventions in radiology education at undergraduate level.
MATERIALS AND METHODS: Four databases (PubMed, MEDLINE, Embase, Eric) are searched for publications related to the application of e-Learning in undergraduate radiology education. The search strategy is a combination of e-Learning and Mesh and non Mesh radiology and undergraduate related terms. These search strategies are established in relation to experts of respective domains. The full text of thirty pertinent articles is reviewed. Author's country and study location data is extracted to identify the most active regions and year's are extracted to know the existing trend. Data regarding radiology subfields and undergraduate year of radiology education is extracted along with e-Learning technologies to identify the most prevalent or suitable technologies or tools with respect to radiology contents. Kirkpatricks learning evaluation model is used to categorize the evaluative outcomes reported in the identified studies.
RESULTS: The results of this analysis reveal emergence of highly interactive games, audience response systems and designing of wide range of customized tools according to learner needs assessment in radiology education at undergraduate level. All these initiatives are leading toward highly interactive self directed learning environments to support the idea of life-long independent learners. Moreover, majority of the studies in literature regarding e-Learning in radiology at undergraduate level are based on participant satisfaction followed by participant results or outcomes either before or after an intervention or both. There was no research particularly demonstrating performance change in clinical practice or patient outcome as they may be difficult to measure in medical education. Thus clinical competences and performances are highly affected by pretentious learning environments.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Education; Medical education; Radiology; Undergraduate; e-Learning

Mesh:

Year:  2014        PMID: 25242658     DOI: 10.1016/j.ejrad.2014.08.017

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  17 in total

1.  Computer-based self-training for CT colonography with and without CAD.

Authors:  Lapo Sali; Silvia Delsanto; Daniela Sacchetto; Loredana Correale; Massimo Falchini; Andrea Ferraris; Giovanni Gandini; Giulia Grazzini; Franco Iafrate; Gabriella Iussich; Lia Morra; Andrea Laghi; Mario Mascalchi; Daniele Regge
Journal:  Eur Radiol       Date:  2018-05-23       Impact factor: 5.315

2.  A comparison of student performance and satisfaction between a traditional and integrative approach to teaching an introductory radiology course on the extremities.

Authors:  Fiona D Jarrett-Thelwell; Jeanmarie R Burke; Jean-Nicolas Poirier; Kristina Petrocco-Napuli
Journal:  J Chiropr Educ       Date:  2018-11-16

3.  Effectiveness of blended learning in radiological anatomy for first year undergraduate medical students.

Authors:  Chitra Nagaraj; Shyamala Bhadravathi Yadurappa; Lakshmi Trikkur Anantharaman; Yogitha Ravindranath; Nachiket Shankar
Journal:  Surg Radiol Anat       Date:  2020-09-22       Impact factor: 1.246

4.  Introducing Online Continuing Education in Radiology for General Practitioners.

Authors:  Pau Xiberta; Imma Boada; Santiago Thió-Henestrosa; Pedro Ortuño; Salvador Pedraza
Journal:  J Med Syst       Date:  2020-01-16       Impact factor: 4.460

5.  An systematic review of e-learning outcomes in undergraduate dental radiology curricula-levels of learning and implications for researchers and curriculum planners.

Authors:  Michael G Botelho; Kalpana R Agrawal; Michael M Bornstein
Journal:  Dentomaxillofac Radiol       Date:  2018-08-01       Impact factor: 2.419

6.  Evaluation of different teaching methods in the radiographic diagnosis of proximal carious lesions.

Authors:  Beatriz de Carvalho Rocha; Beatriz Salomão Porto-Alegre Rosa; Thaís Santos Cerqueira; Sergio Lins de-Azevedo-Vaz; Gabriella Lopes de Rezende Barbosa; Liana Matos Ferreira; Francielle Silvestre Verner; Maria Augusta Visconti
Journal:  Dentomaxillofac Radiol       Date:  2020-11-13       Impact factor: 2.419

7.  Improving Multi-site Interaction Through Remote Learning Technology: Report from a Training Program to Increase Underrepresented Undergraduate and Medical Students in Health Disparities Research.

Authors:  Z'Kera Sims; Lakeshia Cousin; Vivekka Suppiah; Nathanael Stanley; Jiannong Li; Gwendolyn Quinn; Ursula Martinez; Arnold H Zea; Vani N Simmons; Cathy D Meade; Fern Tsien; Clement K Gwede
Journal:  J Cancer Educ       Date:  2021-04-15       Impact factor: 1.771

8.  Radiology education in Europe: Analysis of results from 22 European countries.

Authors:  Bhavya Rehani; Yi C Zhang; Madan M Rehani; András Palkó; Lawrence Lau; Miriam N Mikhail Lette; William P Dillon
Journal:  World J Radiol       Date:  2017-02-28

9.  What We Do and Do Not Know about Teaching Medical Image Interpretation.

Authors:  Ellen M Kok; Koos van Geel; Jeroen J G van Merriënboer; Simon G F Robben
Journal:  Front Psychol       Date:  2017-03-03

10.  A reject analysis of cone-beam CTs in under-aged patients.

Authors:  Jakob W G Van Acker; Wolfgang Jacquet; Melissa Dierens; Luc C Martens
Journal:  Dentomaxillofac Radiol       Date:  2019-01-11       Impact factor: 2.419

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