Multimodal learning: what it is, what the evidence says and how to apply it

What is multimodal learning?

Multimodal learning is a training approach that combines multiple channels and formats —visual, auditory, textual, interactive and experiential— to improve comprehension and knowledge retention. Unlike traditional training, which usually leans on a single dominant format, it integrates different cognitive inputs intentionally and in a structured way. The key word is intentional: it doesn’t mean “using lots of formats”, it means orchestrating them with instructional coherence.

Its foundation is Richard Mayer’s dual-processing theory: people process information through two main channels, the visual and the auditory, and when both are combined correctly, cognitive load drops and consolidation in memory improves. The word correctly deserves emphasis, because combining the channels badly is not neutral: it makes learning worse, and further down you’ll see the effect size.

In a corporate context where teams are hybrid, diverse and short on attention, designing effective training stops being a question of format and becomes a question of instructional architecture. In this guide you’ll find:

• What multimodal learning really is and what sets it apart from other models.
• What scientific evidence supports it, and which part of what’s said about it has none.
• How to implement it step by step in your company.
• Which metrics to use to measure its impact.
• How to integrate it technically into your LMS (SCORM, xAPI, WCAG accessibility).

What the evidence says about learning styles

Before going any further, it’s worth clearing up something that shows up in almost every article on this topic and that the research does not support. The idea that each person has a learning style —visual, auditory, kinesthetic— and that teaching them in “their” style improves their results is known as the meshing hypothesis, and it is the part that doesn’t hold up.

• Pashler, McDaniel, Rohrer and Bjork (2008), in Psychological Science in the Public Interest, reviewed the literature looking for studies with the experimental design needed to test that hypothesis. They found very few, and the results were mostly negative. Their conclusion: there is not enough basis to bring learning-style assessment into general educational practice.
• Willingham, Hughes and Dobolyi (2015), in Teaching of Psychology, reached the same place: the available evidence does not justify its use.
• Kirschner (2017) published it in Computers & Education under a title that leaves no room for doubt: Stop propagating the learning styles myth.

The important distinction is this: preferences do exist —some people find a video more comfortable and others prefer to read— but preference does not predict which method produces better learning. And there’s an added risk these papers point out: labeling someone a “visual learner” boxes them in and diverts resources away from practices that are actually supported.

So why does multimodal learning work? For a different and better-founded reason: not because of the differences between people, but because of how working memory functions in all of them. Mayer’s two channels and Sweller’s cognitive load theory explain that splitting information between the visual and the auditory avoids saturating a single pathway. In other words, multimodal learning doesn’t adapt content to each individual: it takes advantage of a cognitive architecture we all share. This difference is not an academic nuance, because it completely changes how you design: it’s not about offering the same lesson in four versions for four types of learner, it’s about choosing, for each piece of content, the combination of channels that explains it best.

The VARK model and its role in multimodal learning

The VARK model, developed by Neil Fleming, sorts learning preferences into four categories:

• Visual: a preference for charts, diagrams, maps and other visual representations.
• Aural: a preference for learning by listening, whether in sessions, discussions or audio recordings.
• Read/write: a preference for written materials, such as books, articles and notes.
• Kinesthetic: a preference for hands-on activities and physical experience.

Seen through the evidence from the previous section, VARK still has one concrete use and one equally concrete limitation. What it contributes is a useful reminder for whoever is designing: if all your training is text, there are ways of explaining the same thing that you aren’t using. In corporate environments, where technical, operational and strategic profiles sit side by side, that diversification raises the odds of comprehension across the board.

What you shouldn’t do with it is use it to label people or to build learning paths around each employee’s “style”. There is no evidence that this improves results, and it does consume budget. Put briefly: VARK works as an inventory of formats for the designer, not as a diagnosis of the learner.

Mayer’s principles that decide whether multimodal works

If effectiveness depends on how the formats are combined and not on how many there are, the practical question is how to combine them. That’s where Mayer’s research on multimedia learning does give concrete, tested answers, and some of them are counterintuitive. These are the principles with the biggest consequences for corporate training.

The difference between multimodal learning and blended learning

While the blended or hybrid model combines in-person and online environments, the multimodal model explores different formats and channels for presenting content, offering the learner different ways of taking the knowledge in. They are two different, compatible axes: a program can be blended and not multimodal, or multimodal and entirely online.

In short, blended learning answers where learning happens and multimodal learning answers how it is structured cognitively.

Scientific evidence for multimodal learning

The multimodal approach rests on three pillars:

1. Cognitive load theory (Sweller). His research shows that distributing information across different channels reduces the saturation of working memory.
2. Dual-channel theory (Mayer). Combining the visual and the auditory improves conceptual understanding, as long as the same content isn’t duplicated across both channels.
3. Active learning and retrieval practice. Interaction —quizzes, simulations, role plays— improves transfer to the job because it forces people to retrieve what they learned, not just recognize it.

A number of corporate learning reports published by Deloitte, among them Learning for a Skills-Based Future, agree that organizations moving toward more active, personalized, skills-centered learning models get better results in adaptability, performance and alignment with the business. Instead of focusing solely on delivering content, these strategies prioritize hands-on experience, contextual application and continuous skills development. Multimodal learning makes exactly that experiential approach possible by integrating formats that encourage active participation.

Benefits of multimodal learning in the workplace

Higher engagement

The variety of formats and interactive experiences breaks the monotony of traditional training. Giving employees some latitude over how they consume the content —watching a video, listening to a podcast or interacting with a game— makes learning more appealing and translates into greater commitment. The nuance matters: choice improves motivation, not instructional effectiveness in itself, which depends on the design.

Better retention and transfer

Well-orchestrated combined use of channels increases retention because the content is reinforced in several ways and retrieved more often, which makes it easier to internalize and apply on the job.

Inclusion and accessibility

By including diverse, accessible formats —videos with subtitles, audio transcripts, images with alt text and navigable interactive elements— multimodal learning lets every employee, whatever their abilities or specific needs, learn with equity and autonomy.

Adaptability to a hybrid workforce

Multimodal learning makes content accessible smoothly on any device —phone, tablet or computer— and at whatever moments fit best into the daily routine. That flexibility is key in a fast-moving corporate context, especially among remote and frontline workers.

A step-by-step playbook for implementing multimodal learning

Step 1. Define the business problem

Why do it? Because multimodal learning is not a goal, it’s a means. If it doesn’t start from a specific gap —operational errors, low conversion, slow onboarding, formal compliance with no real application— it becomes a pile of formats with no impact.

Before designing anything, answer this: what behavior or outcome do I need to change? The starting point is always a measurable need.

Step 2. Use a modality decision matrix

The criterion for choosing a format is the type of skill and the level of interaction it demands, never the learner’s supposed style. This matrix resolves most cases:

Step 3. Design with practice in mind

Why do it? Because understanding is not the same as knowing how to apply. If the training includes no practice, the impact on performance will be minimal. A simple structure that works:

1. Present a real situation.
2. Explain the key concept.
3. Have them put it into practice.
4. Validate with a short assessment or feedback.

If employees only consume content and never act on it, transfer to the job will be limited.

Step 4. Make sure everyone can complete the training

If part of your team can’t access the content properly, the training loses impact and creates legal risk. To guarantee accessibility, it’s important to:

• Add subtitles and transcripts, always switchable by the user and never burned into the video.
• Include alt text on images that carry information.
• Allow full keyboard navigation.
• Ensure good contrast and a clear heading structure.

That way you make sure the vast majority of your workforce can complete the training without friction and without compromising compliance.

Step 5. Define how you’re going to measure impact

Plenty of training programs get completed but don’t change results. If you don’t define from the outset which KPI should improve, you won’t be able to prove return. The usual objectives are:

• Reduce errors.
• Improve the conversion rate.
• Shorten time to productivity.
• Raise post-training assessment scores.

Multimodal learning isn’t implemented “because it sounds good”. It makes sense when there is a clear reality: what we teach doesn’t always translate into what happens on the job. If your training is already producing results and being applied day to day, you probably don’t need to change anything. But if you spot a distance between what is learned and what is actually done, that’s where the multimodal approach makes the difference: it stops being one more methodology and becomes a tool for closing that gap.

KPIs for measuring multimodal learning in an LMS

Avoid limiting yourself to the completion rate: it tells you someone reached the end, not that they learned. These are the metrics that do tell you something, with a rough threshold to start reading them against.

How to measure it in practice

1. Segment consumption by resource type, not just by course.
2. Analyze which module and which minute the drop-off happens in.
3. Cross-reference device with completion: a format that works on desktop may be failing on mobile.
4. Assess the correlation between modality and score before deciding which format gets the next budget.

Technical implementation on an LMS platform

A multimodal strategy requires the platform to support heterogeneous formats and to be able to measure behavior by resource, not just by course. These are the requirements and what each one solves.

Strategies for implementing multimodal learning in e-learning

Implementation takes planning and the use of various tools and resources. These are some effective strategies:

Diversifying resources

Use videos, podcasts, infographics, animations and text to present the content. The format is chosen according to what has to be taught and the level of practice it demands, not according to a supposed learner style: a procedure is learned by performing it and a concept is learned by seeing it explained.

Interactivity

Build in quizzes, discussion forums, simulators and educational games. Their value isn’t that they “liven things up”, it’s that they force people to retrieve what they learned, which is what consolidates memory.

Feedback

Provide regular, personalized feedback so learners can track their progress and identify areas for improvement. Feedback that only says “incorrect” produces no learning: it has to point out what went wrong and what to do next.

E-learning platforms

Use platforms such as isEazy LMS to manage multimodal content efficiently, integrating different formats into a single learning experience.

Use cases for multimodal learning in the workplace

Soft skills training programs

Behavioral skills are more effective when they are developed in real, varied contexts. Through interactive content, videos with experts and self-assessment exercises, the multimodal model helps professionals internalize behaviors and apply them day to day.

AKRON Group is an example of how far that effect goes. With more than 700 employees spread across Mexico, Central America, South America and the United States, it supported its skills development with a catalog of over 600 courses and with the creation of its own content. The result: 50% less production time, 35% higher completion in its internal courses thanks to interactive elements, games and tests, and a training offering multiplied by four. See the case study →

Onboarding with visual and interactive elements

The first days at a new company are decisive. Welcome videos, interactive infographics, podcasts and gamification elements create an engaging experience that speeds up onboarding and strengthens the bond with the organizational culture. With frontline workforces, the channel matters as much as the format: if the content doesn’t work on mobile, it doesn’t exist.

Clarel took it to scale: more than 1,000 points of sale and over 3,000 employees aligned on culture and operations almost in real time, with 84% participation in training and a 90% increase in product accuracy rates. See the case study →

isEazy LMS for implementing multimodal learning

Putting an effective multimodal model into practice demands a platform that supports heterogeneous formats and measures what happens with each one. With isEazy LMS you can:

• Create experiences in multiple formats: combine videos, podcasts, quizzes, simulations and SCORM packages in the same learning path.
• Take advantage of ready-to-use courses: a library of multimedia, interactive content that cuts production time, which tends to be the main objection to this approach.
• Distribute, manage and analyze learning: track progress, personalize paths and optimize results with real behavioral data by resource.

All of it on a platform designed to work on any device. Discover how to transform your training strategy.

Conclusion: from concept to execution

Multimodal learning isn’t simply an appealing methodology, it’s an instructional architecture that demands design, measurement and continuous improvement. And the two ideas holding it up are worth keeping in mind: it works because of how any brain processes information, not because of each employee’s individual style, and its effectiveness depends on how the formats are combined, to the point that combining them badly makes the result worse.

If you’re weighing up whether to implement it, ask yourself these three questions:

1. What business problem do I want to solve?
2. Which modality best supports that skill?
3. How am I going to measure whether it works?

Without those three variables defined, multimodal learning becomes a pile of formats with no real impact. With a platform like isEazy LMS you can structure multimodal paths, integrate SCORM or xAPI, measure behavior by resource and decide with data. The difference between training that gets consumed and training that transforms lies in how you design the experience and how you measure its impact.