Literature DB >> 15734809

Learning and cognitive styles in web-based learning: theory, evidence, and application.

David A Cook1.   

Abstract

Cognitive and learning styles (CLS) have long been investigated as a basis to adapt instruction and enhance learning. Web-based learning (WBL) can reach large, heterogenous audiences, and adaptation to CLS may increase its effectiveness. Adaptation is only useful if some learners (with a defined trait) do better with one method and other learners (with a complementary trait) do better with another method (aptitude-treatment interaction). A comprehensive search of health professions education literature found 12 articles on CLS in computer-assisted learning and WBL. Because so few reports were found, research from non-medical education was also included. Among all the reports, four CLS predominated. Each CLS construct was used to predict relationships between CLS and WBL. Evidence was then reviewed to support or refute these predictions. The wholist-analytic construct shows consistent aptitude-treatment interactions consonant with predictions (wholists need structure, a broad-before-deep approach, and social interaction, while analytics need less structure and a deep-before-broad approach). Limited evidence for the active-reflective construct suggests aptitude-treatment interaction, with active learners doing better with interactive learning and reflective learners doing better with methods to promote reflection. As predicted, no consistent interaction between the concrete-abstract construct and computer format was found, but one study suggests that there is interaction with instructional method. Contrary to predictions, no interaction was found for the verbal-imager construct. Teachers developing WBL activities should consider assessing and adapting to accommodate learners defined by the wholist-analytic and active-reflective constructs. Other adaptations should be considered experimental. Further WBL research could clarify the feasibility and effectiveness of assessing and adapting to CLS.

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Mesh:

Year:  2005        PMID: 15734809     DOI: 10.1097/00001888-200503000-00012

Source DB:  PubMed          Journal:  Acad Med        ISSN: 1040-2446            Impact factor:   6.893


  22 in total

1.  Reaching further with online education? The development of an effective online program in palliative oncology.

Authors:  Bogda Koczwara; Kay Francis; Franca Marine; David Goldstein; Craig Underhill; Ian Olver
Journal:  J Cancer Educ       Date:  2010-09       Impact factor: 2.037

2.  How students and faculty interact with a searchable online database of the medical curriculum.

Authors:  Firas H Wehbe; Anderson Spickard
Journal:  AMIA Annu Symp Proc       Date:  2005

Review 3.  A vision of the next generation of behavioral therapies research in the addictions.

Authors:  Kathleen M Carroll; Bruce J Rounsaville
Journal:  Addiction       Date:  2007-06       Impact factor: 6.526

4.  Developing an interactive web-based learning program on skin cancer: the learning experiences of clinical educators.

Authors:  Waqas R Shaikh; Alan Geller; Gwen Alexander; Maryam M Asgari; Gunther J Chanange; Stephen Dusza; Melody J Eide; Suzanne W Fletcher; Jacqueline M Goulart; Allan C Halpern; Shoshana Landow; Ashfaq A Marghoob; Elizabeth A Quigley; Martin A Weinstock
Journal:  J Cancer Educ       Date:  2012-12       Impact factor: 2.037

5.  The Jeremiah Metzger lecture: Osler - web - rendezvous: impact of the information explosion on medical education.

Authors:  Stephen B Greenberg
Journal:  Trans Am Clin Climatol Assoc       Date:  2008

6.  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

Review 7.  Learning styles: a review of theory, application, and best practices.

Authors:  Frank Romanelli; Eleanora Bird; Melody Ryan
Journal:  Am J Pharm Educ       Date:  2009-02-19       Impact factor: 2.047

8.  Developing an electronic teaching and training portfolio.

Authors:  Nick Aresti; Manoj Ramachandran
Journal:  Curr Rev Musculoskelet Med       Date:  2014-06

9.  Does learning style influence academic performance in different forms of assessment?

Authors:  Tracey Wilkinson; Mairead Boohan; Michael Stevenson
Journal:  J Anat       Date:  2013-10-31       Impact factor: 2.610

Review 10.  Relevance of CONSORT reporting criteria for research on eHealth interventions.

Authors:  Timothy B Baker; David H Gustafson; Bret Shaw; Robert Hawkins; Suzy Pingree; Linda Roberts; Victor Strecher
Journal:  Patient Educ Couns       Date:  2010-09-16
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