Literature DB >> 19709008

Computer animations in medical education: a critical literature review.

Jorge G Ruiz1, David A Cook, Anthony J Levinson.   

Abstract

CONTEXT: Animations can depict dynamic changes over time and location, and illustrate phenomena and concepts that might otherwise be difficult to visualise. However, animations may not always be effective and educators who use animations must understand the principles that govern their use.
OBJECTIVES: This review aims to illustrate potential applications of animations in medical education, to identify evidence-based principles for their design and use, and to propose an agenda for future research.
METHODS: We searched MEDLINE, PsychINFO and EMBASE for articles describing the use of computer animations in medical education. We reviewed and summarised all identified original research studies comparing animations with an alternative computer-based or non-computer-based format. We also selectively reviewed non-medical education research on the use of computer animations.
RESULTS: Medical educators have used animations in a variety of computer-assisted learning applications, but few comparative studies have been published and the evidence is inconclusive. Research outside medical education shows conflicting results for studies comparing animations with static images. This may reflect differences in cognitive load induced by animation, or differences in the type of motion being illustrated. The benefits of animations may also vary according to learner characteristics such as prior knowledge and spatial ability. Features of animation that appear to facilitate learning include permitting learner control over the animation's pace, allowing learners to interact with animations and splitting the animation activity into small chunks (segmenting).
CONCLUSIONS: Existing medical education research does little to inform the use of animations. Research is needed to confirm and extend non-medicine research to ascertain when to use animations and how to use them effectively.

Mesh:

Year:  2009        PMID: 19709008     DOI: 10.1111/j.1365-2923.2009.03429.x

Source DB:  PubMed          Journal:  Med Educ        ISSN: 0308-0110            Impact factor:   6.251


  9 in total

1.  Learning with interactive computer graphics in the undergraduate neuroscience classroom.

Authors:  John R Pani; Julia H Chariker; Farah Naaz; William Mattingly; Joshua Roberts; Sandra E Sephton
Journal:  Adv Health Sci Educ Theory Pract       Date:  2014-01-22       Impact factor: 3.853

2.  Item difficulty in the evaluation of computer-based instruction: an example from neuroanatomy.

Authors:  Julia H Chariker; Farah Naaz; John R Pani
Journal:  Anat Sci Educ       Date:  2012-01-09       Impact factor: 5.958

3.  Computer-based learning: interleaving whole and sectional representation of neuroanatomy.

Authors:  John R Pani; Julia H Chariker; Farah Naaz
Journal:  Anat Sci Educ       Date:  2012-07-03       Impact factor: 5.958

4.  Exploring Visualisation for Embryology Education: A Twenty-First-Century Perspective.

Authors:  Eiman M Abdel Meguid; Jane C Holland; Iain D Keenan; Priti Mishall
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

Review 5.  Internet-based medical education: a realist review of what works, for whom and in what circumstances.

Authors:  Geoff Wong; Trisha Greenhalgh; Ray Pawson
Journal:  BMC Med Educ       Date:  2010-02-02       Impact factor: 2.463

Review 6.  Digital Education for Health Professionals: An Evidence Map, Conceptual Framework, and Research Agenda.

Authors:  Lorainne Tudor Car; Selina Poon; Bhone Myint Kyaw; David A Cook; Victoria Ward; Rifat Atun; Azeem Majeed; Jamie Johnston; Rianne M J J van der Kleij; Mariam Molokhia; Florian V Wangenheim; Martin Lupton; Niels Chavannes; Onyema Ajuebor; Charles G Prober; Josip Car
Journal:  J Med Internet Res       Date:  2022-03-17       Impact factor: 7.076

7.  Improving neuromuscular monitoring and reducing residual neuromuscular blockade via e-learning: A multicentre interrupted time-series study (INVERT study).

Authors:  Jakob Louis Demant Thomsen; Ole Mathiesen; Daniel Hägi-Pedersen; Lene T Skovgaard; Doris Østergaard; Mona R Gätke
Journal:  Acta Anaesthesiol Scand       Date:  2022-02-13       Impact factor: 2.274

8.  Is a picture worth a thousand words: an analysis of the difficulty and discrimination parameters of illustrated vs. text-alone vignettes in histology multiple choice questions.

Authors:  Jane Holland; Robin O'Sullivan; Richard Arnett
Journal:  BMC Med Educ       Date:  2015-10-26       Impact factor: 2.463

9.  Three-dimensional Virtual Reality as an Innovative Teaching and Learning Tool for Human Anatomy Courses in Medical Education: A Mixed Methods Study.

Authors:  Yasser Alharbi; Mubarak Al-Mansour; Radi Al-Saffar; Abdullah Garman; Abdulrahman Alraddadi
Journal:  Cureus       Date:  2020-02-24
  9 in total

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