Key Takeaways
- 0.0 effect size was found in a study comparing students’ "preferred" mode vs. randomized mode in a biology course
- 70% of students scored higher when using "Dual Coding" (visual + verbal) regardless of their style
- 15% decrease in exam performance was noted in a study where students were *only* allowed to use their preferred modality
- 93% of UK school teachers believe that individuals learn better when they receive information in their preferred learning style
- 89.1% of academics in a 2020 study agreed that they utilize learning styles in their teaching despite lack of evidence
- 95.8% of educators in Spain believe in the effectiveness of learning styles for student achievement
- 50% of the professional development courses offered to US teachers in 2015 included learning styles
- $1.2 billion is estimated to be spent annually by schools globally on "learning style" based materials and assessments
- 72% of Learning Management Systems (LMS) include features to tag content by "learning style"
- 0 peer-reviewed studies have successfully replicated the "meshing hypothesis" (matching instruction to style improves learning)
- 80% of learning styles theories researched in 2004 (71 different models) lacked validity
- 13 separate studies on "Visual vs. Auditory" learning found no significant improvement when matching materials to students
- 33.8% of a sample of students were classified as "unimodal kinesthetic" using the VARK tool
- 20.3% of users who take the VARK questionnaire identify as "unimodal visual"
- 12.3% of students prefer the "unimodal aural" (auditory) preference according to VARK data
Research finds matching lessons to learning styles rarely helps, while multimodal, active, and generic strategies do.
Impact on Student Learning Outcomes
Impact on Student Learning Outcomes Interpretation
Neuromyth Prevalence & Perception
Neuromyth Prevalence & Perception Interpretation
Professional Development & EdTech Usage
Professional Development & EdTech Usage Interpretation
Scientific Critique & Validity
Scientific Critique & Validity Interpretation
The VARK Model & Modalities
The VARK Model & Modalities Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
David Sutherland. (2026, February 13). Learning Styles Statistics. Gitnux. https://gitnux.org/learning-styles-statistics
David Sutherland. "Learning Styles Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/learning-styles-statistics.
David Sutherland. 2026. "Learning Styles Statistics." Gitnux. https://gitnux.org/learning-styles-statistics.
Sources & References
- Reference 1NATUREnature.com
nature.com
- Reference 2FRONTIERSINfrontiersin.org
frontiersin.org
- Reference 3NCBIncbi.nlm.nih.gov
ncbi.nlm.nih.gov
- Reference 4LINKlink.springer.com
link.springer.com
- Reference 5SCIENCEDIRECTsciencedirect.com
sciencedirect.com
- Reference 6JOURNALSjournals.sagepub.com
journals.sagepub.com
- Reference 7ASCDascd.org
ascd.org
- Reference 8ONLINELIBRARYonlinelibrary.wiley.com
onlinelibrary.wiley.com
- Reference 9ACADEMICacademic.oup.com
academic.oup.com
- Reference 10TDtd.org
td.org
- Reference 11EDUCATIONNEXTeducationnext.org
educationnext.org
- Reference 12PSYCNETpsycnet.apa.org
psycnet.apa.org
- Reference 13TANDFONLINEtandfonline.com
tandfonline.com
- Reference 14ERICeric.ed.gov
eric.ed.gov
- Reference 15PSYCHOLOGICALSCIENCEpsychologicalscience.org
psychologicalscience.org
- Reference 16TEStes.com
tes.com
- Reference 17VARK-LEARNvark-learn.com
vark-learn.com
- Reference 18SCIELOscielo.br
scielo.br
- Reference 19ENGRengr.ncsu.edu
engr.ncsu.edu
- Reference 20IJOMEijome.org
ijome.org
- Reference 21NCLncl.ac.uk
ncl.ac.uk
- Reference 22APAapa.org
apa.org
- Reference 23VISIBLELEARNINGMETAXvisiblelearningmetax.com
visiblelearningmetax.com
- Reference 24THEGUARDIANtheguardian.com
theguardian.com
- Reference 25TRENDStrends.google.com
trends.google.com







