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Learning styles: what are they and what types exist?

Learning styles describe the formats through which you prefer to take in and process new information, visual diagrams, spoken explanations, written text or hands-on practice. The most widely used framework, the VARK model, groups these preferences into four categories: visual, auditory, reading/writing and kinesthetic. Research in educational psychology consistently shows that preferences are real, but matching instruction to a single preferred learning style does not reliably improve outcomes, so use learning styles as a starting prompt, not a fixed rule.

What you’ll take from this

  • The four main learning styles in the VARK model are visual, auditory, reading/writing and kinesthetic, and most learners draw on a mix rather than one fixed style.
  • Research on learning style theory is contested: Pashler et al. (2008) reviewed the evidence and found little support for the idea that matching teaching methods to a preferred style improves outcomes, so treat it as a preference, not a prescription.
  • Beyond VARK, common learning frameworks add logical, social and solitary learning, giving the widely cited seven types of learners.
  • Kolb’s experiential learning cycle describes how you learn best through experience, reflection and application, which differs from a fixed sensory preference.
  • AI tools like ChatGPT and Microsoft Copilot can turn one source into visual, auditory and hands-on formats, so you study in the way that fits you without depending on a single learning method.

What is a learning style and who it is for

A learning style is a preference for how you take in, process and retain new information. Some learners follow a diagram faster than a paragraph. Others remember a spoken explanation better than a written one. That preference is your style of learning, and it shapes which study methods feel natural to you.

The concept matters for three groups. Learners use it to plan how they revise and which formats to prioritize. Teachers use it to vary their teaching methods so a lesson reaches more of the class. Professionals in continuous professional learning, who study around a full-time job, use it to make limited study time more effective.

There is one important caveat, covered in detail later. A learning preference is not a hard rule about what works. The research literature is clear that a learner can absorb information through any channel. Knowing your learning preferences helps you start; it does not lock you into a single learning method.

You may also find it useful to read our article on e-learning content development for a broader view of how these preferences apply in structured online courses.

Learning style vs cognitive styles vs learning strategies

These three terms are often mixed up, so it helps to separate them.

  • Learning style is a sensory or format preference, such as favoring visuals over audio.
  • Cognitive styles describe how you think and organize information at a deeper level, for example, whether you prefer detail or the big picture.
  • Learning strategies are the deliberate actions you take, such as spaced repetition, summarizing or self-testing.

Your style of learning is a starting point. Your approach to learning is what you actually do with it. Strong learners combine an awareness of preference with proven learning strategies, because the strategy usually drives results more than the style does.

The four learning styles: the VARK learning style model

The VARK model sorts the four main learning styles by the sensory channel each learner prefers. VARK stands for Visual, Auditory, Reading/writing and Kinesthetic. It builds on the earlier VAK model by separating reading and writing from pure visuals. Understanding these four learning styles gives you a practical vocabulary for how you learn best. In educational psychology, VARK is the most widely used learning style model because it is simple to apply and covers the most common learning modalities.

Learning style Prefers Typical study behavior Example format
Visual Images and spatial layout Redrawing notes as diagrams Mind maps, charts
Auditory Sound and speech Explaining ideas out loud Podcasts, discussion
Reading/writing Text Rewriting notes in full sentences Articles, lists
Kinesthetic Physical experience Practicing and building Labs, simulations, role-play

Most learners are multimodal, meaning they draw on two or three of these learning modalities depending on the subject. A reading/writing preference is common in text-heavy fields, while kinesthetic learners often thrive in practical, hands-on training. Treat the categories below as tools, not labels, few people sit neatly in one box when different types of learning are involved.

Visual learning style

The visual learning style favors images, spatial relationships and color over blocks of text. Visual learners follow a diagram faster than a written description and often remember where information sat on a page. This is one of the most commonly self-reported preferred styles, particularly in structured academic settings.

If this is your visual learning preference, redraw your notes as a chart, use color coding for key ideas, and turn processes into flowcharts. Research from cognitive psychology supports the dual-coding effect: pairing verbal information with a relevant visual representation improves retention compared to text alone (Paivio, 1991). A single well-built diagram can replace three paragraphs of learning material for a visual learner, especially when the diagram shows relationships, not just labels.

Auditory learning style

The auditory learning style favors sound, speech and discussion. An auditory learner remembers a spoken explanation better than a written one and often understands a concept by talking it through. The auditory learning style is particularly well-suited to podcasts, lectures and group discussion formats.

If this fits you, read your notes aloud, record summaries and replay them, and join study groups where you explain ideas to others. Explaining a concept to someone else, sometimes called the protégé effect, has been shown in multiple studies to improve the explainer’s own recall, not just the listener’s. Auditory learning also benefits from turning dense text into a short audio script you can listen to on a commute.

Reading/writing learning style

The reading/writing learning style favors text as the primary channel for taking in and storing information. These learners prefer written definitions, annotated notes and structured outlines over diagrams or spoken summaries.

If this is your preference, rewrite key ideas in your own words, build structured outlines before reading a chapter, and use annotated lists to organize complex topics. Reading/writing learners tend to perform well in traditional academic settings because most assessment formats, essays, reports, exams, reward exactly this channel. The risk is over-relying on passive reading; active rewriting and self-quizzing move the learning material into long-term memory far more effectively than re-reading alone.

Kinesthetic learning style

The kinesthetic learning style favors movement, touch and doing. Kinesthetic learning engages the somatosensory system, which is why learners with this preference retain more from hands-on practice than from reading about a task. If you learn best by doing, kinesthetic learning is your dominant learning mode.

If you learn best this way, build models, run experiments, use simulations and turn theory into a physical activity. A kinesthetic learner studying a process should perform the steps, not just review them. Role-play and case exercises work well because they require action. In workplace training, for example, a compliance learner who works through five realistic scenarios will typically retain procedural rules better than one who reads the policy document twice, the doing creates a memory trace that passive review does not.

Beyond VARK: the seven types of learners, Kolb and experiential learning

VARK is not the only map of various learning preferences. A widely cited extension adds three more categories to reach the seven types of learners, moving beyond sensory channels into social and reasoning preferences. These broader learning approaches recognize that understanding different learning contexts, not just the senses involved, matters when you want to enhance learning outcomes.

The three additions are:

  1. Logical learners, who prefer reasoning, patterns and systems.
  2. Social learners, who learn best in groups and through interaction.
  3. Solitary learners, who study best alone and self-directed. Solitary learning suits reflective individuals who prefer to process information independently before discussing it.

Some frameworks push further to eight styles, but the seven-type version is the most common. These broader learning approaches recognize that motivation and environment shape how people learn, not just the senses involved. They also point to real learning differences between people who otherwise share the same preferred styles.

A different tradition focuses on process rather than preference. David A. Kolb’s experiential learning cycle describes learning as four stages: concrete experience, reflective observation, abstract conceptualization and active experimentation. In Kolb’s view, you learn best by moving through the full cycle, doing, reflecting, theorizing and testing. Kolb’s model is a cornerstone of experiential learning theory and remains widely used in higher education and professional learning contexts. Kolb learning differs from the VARK model because it treats learning as a process, not a fixed type. Related instruments such as the Index of Learning Styles, developed by Felder and Silverman, map preferences along scales rather than fixed boxes and are widely used in engineering and higher education contexts. Experiential learning treats learning as something you do, not a type you are.

Are learning styles a myth? What the evidence says about learning style theory

Learning style theory is one of the most popular ideas in education and also one of the most contested. Preferences are real, but the claim that matching instruction to a preferred style improves results has weak support. Understanding the evidence that learning styles have generated helps both learners and teachers make smarter decisions about how to structure study.

Multiple reviews have tested the “meshing hypothesis”, the idea that teaching a visual learner visually produces better outcomes. Pashler et al. (2008), in a review published in Psychological Science in the Public Interest, examined the available controlled studies and found little to no credible evidence supporting it. The Poorvu Center at Yale (2023) describes learning styles such as VARK as a neuromyth, a widely believed idea about the brain that research does not back up. A survey published in Frontiers in Psychology (United States National Library of Medicine indexed) found that approximately 90% of teachers across several countries endorsed learning style concepts despite the evidence gap, which is why the debate about learning styles and pedagogy continues to matter for educators worldwide.

A few honest conclusions:

  • Preferences exist, but they do not reliably predict how well you learn a given subject through any specific learning style.
  • A learning styles inventory, or learning styles questionnaire, can build self-awareness, which supports motivation.
  • Variety in teaching and learning methods helps most learners, regardless of any single label.
  • The use of learning styles works best as a self-awareness tool rather than as a rigid instructional prescription.

The practical position is balanced. Do not limit a learner to one channel based on a questionnaire. Use multiple formats, because a mix reaches more people and reinforces memory. Learning style theory works better as a prompt to vary your study than as a rule about what works. A learner’s preferred style may shift with the subject, another reason to stay flexible. Every learning style benefits from exposure to other modes, and the evidence for learning styles consistently points to this conclusion.

How to discover your learning style with AI-assisted tools

You can discover your learning style in three steps: take a short assessment, reflect on your own experience, then test formats in practice. The reflection and testing steps matter more than the questionnaire, and they help you identify your preferred learning style with far more accuracy than a survey alone.

Start with a learning styles questionnaire to get a rough read on your preferred learning style. Then reflect honestly: which subjects came easily, and in what format did you study them? Finally, test it. Try the same material as a diagram, an audio summary and a hands-on task, and notice which one sticks. This is how you truly identify your preferred learning style rather than simply guessing.

This is where AI changes the workflow. AI tools let you reformat a single source into several learning formats in minutes, without searching for a different textbook edition, video course or audiobook for each one. Paste one source into ChatGPT and generate the visual, audio and practice versions yourself.

Here is a concrete example. A professional studying a compliance topic pastes the source document into ChatGPT and asks for a summary table (visual), a plain-spoken script to read aloud (auditory), and five scenario questions to work through (kinesthetic). One source, three formats, matched to different learning preferences, typically ready to use within minutes, though you should review and adjust the output before relying on it.

Turning one source into multiple learning modalities with ChatGPT and Copilot

The same source can serve every learning style if you ask the right way. This is the most practical benefit of AI across the different learning modalities, because it lets each learner get information in their preferred learning format without extra searching. It also makes it easier to incorporate learning strategies, such as retrieval practice and spaced repetition, into whichever format suits you best.

Learning format Prompt to ChatGPT or Copilot Output you get
Visual “Turn these notes into a comparison table and a step diagram” A scannable table for visual learners
Auditory “Write a 3-minute spoken script summarizing this” A script to read aloud or feed into a voice tool
Reading/writing “Rewrite this as a structured article with headings” Clean text for reading/writing preference
Kinesthetic “Create five practice scenarios I have to solve” Hands-on tasks for kinesthetic learners

Microsoft Copilot does the same inside the documents you already work in. Working in Word, you can ask Copilot to summarize a long report into a bulleted brief or a table without leaving the file. In PowerPoint, it can turn text notes into a visual slide layout. For anyone who wants to build these reformatting skills across everyday tools, the Founderz Productivity with Copilot programme covers exactly this kind of applied workflow. The point is not that one format is correct, it is that AI removes the cost of trying several, so the learning process fits you rather than the other way round.

How teachers and teams can support various learning styles in the classroom

The strongest way to support various learning styles in the classroom is to vary formats, not to label learners. Present a concept as a diagram, an explanation and an activity, and you reach visual, auditory and kinesthetic learners in the same lesson without sorting anyone into a box. Good teaching and learning design builds for that mix by design. Incorporating learning styles awareness into lesson planning is most effective when it leads to format variety rather than rigid learner categorization.

For teachers, this means building each topic with more than one entry point to support student learning:

  • Pair every text with a chart or diagram to support visual learning.
  • Include short discussion or think-aloud moments for auditory learners.
  • Add a hands-on task or worked example learners complete themselves to serve kinesthetic learning.

This variety supports student learning across the whole group, and it aligns with the evidence: mixed teaching styles help more people than single-channel instruction. A topic available through several channels at once reinforces memory and reduces the risk that any one learner is left behind. Learning styles in the classroom are best addressed through this kind of universal design rather than through individual tracking.

For workplace professional learning, the challenge is scale. A training team may need the same learning material in several formats for hundreds of employees. One instructional designer can use ChatGPT or Copilot to generate a slide deck, a one-page summary, a short script and a set of practice questions from a single source document, cutting format conversion from a multi-day task to an afternoon. That lets organizations build a learning environment that suits how different people actually work and supports individual learning styles without requiring a bespoke course for every learner.

Limitations, privacy, and where human judgment still matters with individual learning styles

Individual learning styles have real limits, and it helps to name them. A preference is not a ceiling. Labeling a learner as having a particular learning style and then avoiding other formats would limit their development, because every learning style benefits from practice across formats. Treat a specific learning style as a starting preference, not a permanent identity. Learning differences are real, but they are not fixed, student learning style preferences shift with context, subject matter and experience.

There is also a data consideration when using AI study tools. Pasting personal notes, exam material or an employer’s internal documents into a public AI tool means sending that content to a third party. Check what a tool retains, avoid uploading confidential or personal data, and use enterprise versions with proper data controls in professional settings.

Human judgment still matters most. AI can reformat information, but it cannot tell you whether you have truly understood it. That check, testing yourself, reflecting on gaps, deciding what to study next, stays with you. AI can support different learning approaches; it does not replace the thinking that makes learning stick.

Frequently asked questions about learning styles

What are the four types of learning styles?

The four learning styles come from the VARK model: visual, auditory, reading/writing and kinesthetic. Visual learners prefer diagrams and images, auditory learners prefer spoken explanation and discussion, reading/writing learners prefer text, and kinesthetic learners prefer hands-on practice and movement. Most people use a mix of these preferences rather than fitting neatly into one single style. These four main learning styles are the most widely referenced in educational psychology and classroom practice.

What are the 7 types of learners?

The seven types of learners extend the VARK model with three additional categories: logical (reasoning and patterns), social (learning in groups) and solitary (learning alone and self-directed). Solitary learning in particular suits reflective individuals who prefer to work through material independently. This framework recognizes that social setting and reasoning preference shape how people learn, not just which sense they favor. Like VARK, most learners combine several of these types rather than fitting neatly into one.

What is the VARK model of learning styles?

The VARK model is a learning style model that groups preferences into four channels: Visual, Auditory, Reading/writing and Kinesthetic. It expands the earlier VAK model by separating text-based learning from pure visuals. VARK is widely used because it gives learners a simple vocabulary for how they prefer to study, though the evidence that matching teaching to a VARK preference improves outcomes is limited, as Pashler et al. (2008) and subsequent reviews have shown.

Are learning styles a myth or are they real?

Learning preferences are real, but the stronger claim behind learning style theory is not well supported. Many people genuinely prefer certain formats. What research in educational psychology consistently fails to confirm is that matching teaching to a preferred style improves outcomes. Because of this, some educators describe learning styles as a neuromyth in education. The practical takeaway is to use varied formats for everyone rather than restricting a learner to one channel.

How can I identify my child’s learning style?

Watch how your child engages with new information rather than relying only on a questionnaire. Notice whether they follow pictures easily, remember spoken instructions, prefer reading, or learn fastest by doing and touching. Then offer the same material in different formats and see which holds their attention and improves recall. Keep it flexible, since children benefit from exposure to all formats, not just one. A child’s dominant learning style may also shift as they grow and encounter new subjects.

How can AI help me study in my preferred learning style?

AI tools like ChatGPT and Microsoft Copilot can turn one source into several study formats in minutes. You can ask for a summary table for visual study, a short spoken script for auditory learning, a structured article for reading and writing, and practice scenarios for hands-on work. This removes the need to hunt for the right textbook or video for each format, and lets you match material to how you learn best, while keeping your own judgment in charge of what the output actually says.

Start studying the way you learn best today

No single learning style will decide how well you learn. Preferences give you a starting point. What moves you forward is variety, self-testing and the ability to reshape any learning material into the format that helps it stick.

That skill is where AI literacy pays off. When you can turn one document into a diagram, a script and a set of practice tasks in minutes, you stop waiting for the perfect course and start building your own. This is exactly what Founderz teaches in the AI Literacy programme, a practical, online path for professionals who want to apply AI to real learning and work, developed in collaboration with Microsoft and trusted by more than 700,000 learners across 170 countries. The professionals who get the most from that shift are the ones who combine a clear sense of how they learn with the tools to act on it. This programme gives you both.


Anna Cejudo

Cofounder & Co-CEO

How do you turn an idea into an initiative that changes the world? As an entrepreneur, Anna Cejudo has spent over a decade striving to answer this question. Now, as co-CEO and co-founder of Founderz, she continues to work on transforming education and creating a positive impact on the future of individuals.