When people take the most widely used learning-style questionnaire, the VARK, the single most commonly reported preference is aural, meaning a preference for information delivered through listening and discussion. Kinesthetic learning, which involves hands-on activity, typically comes in second. But the real headline from these surveys is that most people don’t land neatly in any one category at all. Across multiple studies, roughly two-thirds or more of respondents turn out to be multimodal, favoring some blend of visual, aural, reading/writing, and kinesthetic input. And that finding hints at a deeper issue with the entire framework that’s worth understanding before you try to optimize your studying around a label.
What Preference Surveys Actually Report
The VARK questionnaire, developed by Neil Fleming in the early 1990s, remains the go-to instrument for sorting people into learning-style categories. It asks a series of scenario-based questions and assigns you to one or more of four sensory modalities: visual, aural, read/write, or kinesthetic. Dozens of studies have used it across different populations, and the pattern is consistent. In a study of medical students, about 69% had multiple learning preferences rather than a single dominant one. Among those who did show a single preference, aural was the most common at roughly 46%, followed by kinesthetic at about 33%.1PubMed Central. Assessment of learning styles of undergraduate medical students using the VARK questionnaire and the influence of sex and academic performance
A study of dental students found a similar breakdown: 63% were multimodal, and among those who weren’t, aural and kinesthetic again topped the list. The single most common specific profile was actually quadmodal, meaning the person scored high across all four VARK categories, which applied to about 24% of respondents.2PubMed Central. Learning style preferences of dental students at a single institution in Riyadh, Saudi Arabia, evaluated using the VARK questionnaire Another study of postgraduate students found an even higher multimodal rate of about 87%, with the most common pairing being aural-kinesthetic. That study found zero students who were purely visual learners.3PubMed Central. Understanding your student: using the VARK model
So if you’ve taken a quiz and been told you’re a “visual learner” or an “auditory learner,” you’re in the minority of people who score strongly in one modality. Most people’s preferences are messier than that, blending two or more channels depending on the context. The tidy categories feel satisfying, but the data consistently shows that people’s actual preferences don’t sort themselves so cleanly.
Preferences Are Real, but the “Matching” Idea Is Not
Here’s where the conversation gets important. Having a preference is one thing. The learning-styles hypothesis, as researchers formally define it, makes a much bolder claim: that students learn better when instruction is tailored to match their preferred modality. A visual learner should get diagrams; an auditory learner should get lectures; a kinesthetic learner should get lab exercises. Match the teaching to the style, and performance improves. That’s the claim. And it has been tested extensively.
A landmark review in Psychological Science in the Public Interest laid out exactly what kind of experiment would be needed to confirm the hypothesis. Students would need to be sorted by learning style, randomly assigned to different teaching methods, and then all tested the same way. For the hypothesis to hold up, you’d need to see a crossover pattern: visual learners doing best with visual instruction while auditory learners do best with auditory instruction, and so on. The authors found that studies meeting these criteria almost never produced that pattern.4PubMed. Learning Styles: Concepts and Evidence
A later experiment tested this directly. Researchers sorted students by their VARK preference and gave them material through either listening or reading, then measured comprehension. The crossover pattern that the matching hypothesis requires did not appear. Both groups, those classified as auditory and those classified as visual, performed better on the listening comprehension task. The instruction format that worked best had nothing to do with the students’ supposed style.5PubMed Central. Providing Instruction Based on Students’ Learning Style Preferences Does Not Improve Learning
A comprehensive analysis of recent learning-styles research reinforced this conclusion: the more methodologically rigorous a study was, the more likely it was to refute the matching hypothesis. Meanwhile, less rigorous studies sometimes appeared to support it, which probably explains part of its staying power. The result is a striking gap between research findings and classroom practice.6Theory and Research in Education. Is learning styles-based instruction effective? A comprehensive analysis of recent research on learning styles
Why Almost Everyone Believes It Anyway
The learning-styles idea isn’t just popular; it’s one of the most resilient myths in education. A cross-national study of primary school teachers spanning 11 countries found that over 90% agreed with the concept of learning styles.7PubMed. Belief in neuromyths among primary school teachers: A cross-national study of 11 countries That’s not a regional quirk. It cuts across cultures, school systems, and levels of teacher training. Researchers classify belief in learning styles as a “neuromyth,” a claim about the brain and learning that sounds scientific but isn’t supported by evidence.
Why does the idea stick? One reason is that it feels intuitively right. You probably do enjoy certain formats more than others. Watching a video might feel more engaging than reading a textbook chapter. That subjective experience is real. The mistake is assuming that what feels more comfortable also produces deeper understanding. Enjoyment and learning aren’t the same thing, and this is one of the biggest disconnects in how people think about their own education.
Research exploring why educators specifically endorse the idea suggests it aligns with broader values they hold about student-centered teaching. If you believe every child is unique and deserves personalized attention, learning styles gives you a framework for that belief. It feels like an act of care to diagnose a child’s style and teach to it. The problem is that the framework doesn’t deliver on its promise, even though the underlying impulse to differentiate instruction is reasonable.8PubMed Central. Why educators endorse a neuromyth: relationships among educational priorities, beliefs about learning styles, and instructional decisions
Your Preferred Style Doesn’t Predict Your Ability
One assumption buried inside the learning-styles framework is that if you prefer visual input, you must be good at processing visual information. That turns out not to be true, either. A study tested whether students who identified as visual learners on the VARK actually performed better on tasks requiring visual-spatial ability. They measured this using an established test of spatial visualization. The two things were unrelated. Calling yourself a visual learner didn’t predict that you were any better at rotating objects in your mind or interpreting diagrams.9PubMed Central. Using BioRender for Active Learning: Exploring Learning-Style Preference and Visual-Spatial Ability in Undergraduate Students
This is a subtle but important point. Preference and ability are different dimensions. You might prefer watching videos because they feel easier or more entertaining, not because your brain is architecturally wired to absorb visual information more efficiently. In fact, research on memory has long suggested that information encoded through multiple channels, both verbal and visual, tends to be remembered better than information encoded through just one. This idea, known as dual coding, has been supported by experimental work going back decades.10Journal of Verbal Learning and Verbal Behavior. On the fate of visual and verbal memory codes for pictures and words: Evidence for a dual coding mechanism in recognition memory If dual coding is correct, the implication cuts against the learning-styles approach: you’re better off combining channels than restricting yourself to one.
What the Brain Actually Shows During Different Tasks
A small but interesting body of work has used brain imaging to look at what happens in the prefrontal cortex when people with different VARK scores perform tasks in different modalities. One study using functional near-infrared spectroscopy measured brain activation while participants completed working-memory tasks that were either visual or auditory. People with higher visual VARK scores showed less prefrontal activation during auditory tasks, while those with higher aural scores showed more activation during visual tasks.11PLOS ONE. Exploring the role of task performance and learning style on prefrontal hemodynamics during a working memory task
This tells us something interesting but limited. The brain does seem to respond differently depending on a person’s self-reported preference, in terms of how much effort the prefrontal cortex devotes to a mismatched task. But less activation in a brain region doesn’t automatically mean worse learning, and more activation doesn’t mean better learning. It might reflect greater effort or engagement, or it might mean the task is harder and less efficient. The study doesn’t show that matching instruction to preference leads to better outcomes. It shows the brain registers the difference, which is a much more modest claim.
The Multimedia Complication
Modern learning environments are rarely single-channel anyway. Most e-learning platforms, classroom presentations, and textbooks combine text, images, video, and audio. This raises its own set of challenges that have nothing to do with learning styles and everything to do with cognitive load.
Research on how students handle multimedia presentations has found that piling on multiple elements doesn’t always help. Students with shorter attention spans recalled less information accurately when more multimedia elements were added. Language proficiency also mattered: students who were less proficient in the language of instruction struggled more as multimedia complexity increased. Working memory capacity, however, didn’t show the same pattern; students performed similarly regardless of how many multimedia elements were present, except in a control condition with no multimedia at all.12PubMed Central. Understanding the cognitive cost of multimedia learning: effects of visual load and language proficiency
The takeaway here is that the real bottleneck in learning from mixed media isn’t your “style.” It’s your attention and your fluency with the language. A student struggling with English-language lecture videos isn’t going to be helped by a learning-styles diagnosis. They need better language support or clearer presentation design. Focusing on modality preferences can obscure the factors that actually matter.
What Actually Works Instead
If tailoring instruction to learning styles doesn’t improve outcomes, what does? The research base points to a handful of strategies with much stronger evidence behind them, and they tend to work across all learners regardless of preference.
- Retrieval practice: Actively pulling information out of memory, through practice tests, flashcards, or self-quizzing, strengthens memory far more than passively reviewing the same material again.
- Spaced practice: Spreading study sessions out over time beats cramming, even when total study time is the same.
- Variable practice: Changing the context or format of retrieval across sessions boosts retention further. Research has shown that when retrieval practice is both spaced and varied in context, the benefits are larger than either technique alone.13PubMed Central. The role of variable retrieval in effective learning
- Interleaving: Mixing different types of problems or topics within a single study session, rather than practicing one type at a time, improves your ability to distinguish between concepts and apply the right approach.
- Dual coding: Combining words with visuals, not because you’re a “visual learner” but because two memory traces are stronger than one, helps nearly everyone.
These techniques share a common thread: they make learning feel harder in the moment. Retrieval practice is more effortful than rereading. Spacing feels less productive than massed repetition because you forget between sessions and have to work to remember again. But that difficulty is the point. The effort of retrieving, spacing, and varying is what builds durable knowledge. Learning styles, by contrast, appeal partly because they promise to make learning feel easier by matching it to what you already prefer.
Can Teachers Be Talked Out of It
Given how deeply embedded the learning-styles idea is in education culture, researchers have started testing whether teacher training can chip away at the belief. A study with teacher candidates found that a targeted intervention, basically a lesson explaining why the evidence doesn’t support matching instruction to styles, did shift their beliefs. The effect held through a follow-up assessment, meaning it wasn’t just temporary politeness.14Contemporary Educational Psychology. Revising teacher candidates’ beliefs and knowledge of the learning styles neuromyth
A study of trainee teachers in a modified initial teacher education program found similar results, though with a caveat. Pre-and-post surveys showed that trainee teachers’ belief in neuromyths decreased after the program, and many shifted from confident agreement to uncertainty. But among all the neuromyths tested, learning styles was one of the most persistent. Trainees were more willing to let go of, say, the idea that we only use 10% of our brains than they were to abandon the learning-styles framework.15Mind, Brain, and Education. The Impact of a Modified Initial Teacher Education on Challenging Trainees’ Understanding of Neuromyths
The stubbornness of the belief makes sense. Learning styles is woven into textbooks, professional development workshops, and even some institutional policies. When a teacher is told to differentiate instruction based on student learning styles by their principal or training manual, a single research lecture isn’t enough to override that professional reality. Changing minds at scale requires changing the institutions that reinforce the myth.
When Preferences Still Matter
None of this means your preferences are meaningless. They just aren’t what the learning-styles framework claims they are. If you find podcasts more engaging than textbooks, you might study longer and more willingly with audio. That’s a real effect, but it’s an effect of motivation and engagement, not of some neurological match between your brain and a specific input channel. The distinction matters because it changes what you should do about it.
If you believe you’re an auditory learner, you might avoid reading and stick exclusively to lectures and podcasts, even when a diagram would help you understand a concept that’s inherently spatial. You might never try retrieval practice because it doesn’t match your “style.” By contrast, if you understand that your preference is about comfort rather than cognitive architecture, you can use audio for motivation while still incorporating techniques like self-testing, spaced review, and visual aids when they serve the material better.
Research on media choice in e-learning suggests that the relationship between format and effectiveness depends more on what you’re learning than on who you are as a learner. The subject matter, whether it’s conceptual, procedural, or spatial, determines which media format is most effective. A higher-production-value format doesn’t automatically teach better than a simpler one.16Contemporary Educational Psychology. Appropriate media choice for e-learning effectiveness: Role of learning domain and learning style The right teaching format depends on the content, not the learner’s label.
This reframing can actually be liberating. Rather than boxing yourself into one channel and worrying that you’re studying “wrong” if you step outside it, you can use whatever works for the material at hand. Need to learn anatomy? Diagrams and hands-on models will help everyone, not just “visual” or “kinesthetic” learners. Need to learn a new language? Listening practice is essential for everyone, not just people with an aural preference. The evidence says the content should drive the format, and that approach gives you more tools, not fewer.