Literature DB >> 11452078

Do computers teach better? A media comparison study for case-based teaching in radiology.

M Maleck1, M R Fischer, B Kammer, C Zeiler, E Mangel, F Schenk, K J Pfeifer.   

Abstract

A prospective study was performed to better define the role of computers in teaching radiology to medical students. Two hundred twenty-five 3rd-year students were randomly assigned to one of four groups and exposed to 10 radiology cases as well as to a voluntary weekly radiology lecture. Group A used computer-based cases with interactive elements; group B used computer-based cases without interactive elements; group C used paper-based cases with interactive elements; and group D was not exposed to the cases and served as a control group. On a multiple-choice question test, groups A, B, and C showed significant improvement (+11.2%, +15.1%, and +13.0%, respectively), whereas group D did not (+0.6%). On an image interpretation test, group A showed the most improvement (+15.7% [P <.001]), followed by group B (+15.1% [P <.01]) and group C (+10.2% [P <.05]); group D showed no significant improvement (+8.5%). No significant differences in the learning outcome were found between the two interactive groups (computer based and paper based). Computer-based teaching with case studies (with or without interactivity) improves students' problem-solving ability in radiology.

Mesh:

Year:  2001        PMID: 11452078     DOI: 10.1148/radiographics.21.4.g01jl091025

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  19 in total

1.  [Digital teaching archive. Concept, implementation, and experiences in a university setting].

Authors:  C Trumm; M Dugas; S Wirth; M Treitl; A Lucke; B Küttner; E Pander; D-A Clevert; C Glaser; M Reiser
Journal:  Radiologe       Date:  2005-08       Impact factor: 0.635

2.  Comparison of two lecture delivery platforms in a hybrid distance education program.

Authors:  L Douglas Ried; Katherine Byers
Journal:  Am J Pharm Educ       Date:  2009-08-28       Impact factor: 2.047

3.  Use of remote response devices: an effective interactive method in the long- term learning.

Authors:  Maite Millor; Jon Etxano; Pedro Slon; Paula García-Barquín; Alberto Villanueva; Gorka Bastarrika; Jesús Ciro Pueyo
Journal:  Eur Radiol       Date:  2014-11-13       Impact factor: 5.315

Review 4.  Artificial intelligence for precision education in radiology.

Authors:  Michael Tran Duong; Andreas M Rauschecker; Jeffrey D Rudie; Po-Hao Chen; Tessa S Cook; R Nick Bryan; Suyash Mohan
Journal:  Br J Radiol       Date:  2019-07-26       Impact factor: 3.039

5.  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

6.  Competency in chest radiography. A comparison of medical students, residents, and fellows.

Authors:  Lewis A Eisen; Jeffrey S Berger; Abhijith Hegde; Roslyn F Schneider
Journal:  J Gen Intern Med       Date:  2006-05       Impact factor: 5.128

7.  Radiology teaching for junior doctors: their expectations, preferences and suggestions for improvement.

Authors:  Christiane M Nyhsen; Cathy Lawson; Jim Higginson
Journal:  Insights Imaging       Date:  2011-01-29

8.  Undergraduate radiology teaching from the student's perspective.

Authors:  Christiane M Nyhsen; Laura J Steinberg; Janice E O'Connell
Journal:  Insights Imaging       Date:  2012-12-07

9.  Pedagogical Approaches to Diagnostic Imaging Education: A Narrative Review of the Literature.

Authors:  Kathleen L Linaker
Journal:  J Chiropr Humanit       Date:  2015-11-16

10.  Offline eLearning for undergraduates in health professions: A systematic review of the impact on knowledge, skills, attitudes and satisfaction.

Authors:  Kristine Rasmussen; José Marcano Belisario; Petra A Wark; Joseph Antonio Molina; Stewart Lee Loong; Ziva Cotic; Nikos Papachristou; Eva Riboli-Sasco; Lorainne Tudor Car; Eve Marie Musulanov; Holger Kunz; Yanfeng Zhang; Pradeep Paul George; Bee Hoon Heng; Erica Lynette Wheeler; Najeeb Al Shorbaji; Igor Svab; Rifat Atun; Azeem Majeed; Josip Car
Journal:  J Glob Health       Date:  2014-06       Impact factor: 4.413

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.