The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Learning styles: where’s the evidence?
Abstract
Whereas modern medicine owes much of its success to its reliance upon evidence-based treatments, most popular techniques of instruction have not been subjected to thorough empirical scrutiny. A particularly glaring and costly result of this, we argue, is the wide acceptance of the idea that instruction should be tailored to a student’s so called learning style. For example, students might be divided into visual learners and verbal learners (on the basis of a learning style test given to each student) and then provided with instruction that emphasizes pictures or words, respectively. The visual–verbal distinction is only one simple example of the many proposed taxonomies; a recent review described 71 different schemes.1
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Citations
Cites
Pashler, H., McDaniel, M., Rohrer, D., & Bjork, R. (2008) · Psychological Science in the Public Interest · doi:10.1111/j.1539-6053.2009.01038.x · Cited by 2,147
Self-citationLearning Styles and Pedagogy in post-16 learning: a systematic and critical review
Coffield, F., Moseley, D., Hall, E., & Ecclestone, K. (2004) · Newcastle University · doi:10.25405/ncl.34085991 · Cited by 1,810
Cited by
Stop propagating the learning styles myth
Kirschner, P. A. (2017) · Computers & Education · doi:10.1016/j.compedu.2016.12.006 · Cited by 459
Emmerson, K. B., Harding, K. E., & Taylor, N. F. (2019) · Clinical Rehabilitation · doi:10.1177/0269215518819706 · Cited by 32
Metadata
- Authors
- Rohrer, D., & Pashler, H.
- Venue
- Medical Education
- Publisher
- Wiley
- Published
- 2012-06-12
- Volume
- 46
- Issue
- 7
- Pages
- 634-635
- ISSN
- 0308-0110 (ISSN-L)
- 1365-2923
- OpenAlex
- W1918757219
- Cited by
- 252
- References
- 2
- FWCI
- 21.44
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rohrer, D., & Pashler, H. (2012). Learning styles: where’s the evidence? Medical Education. https://doi.org/10.1111/j.1365-2923.2012.04273.x
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
