More than 80% of the training content that large companies offer their employees is still, in essence, digital reading with a test at the end. And the data has been pointing to the same conclusion for over a century: this is not how the adult brain learns. This is one of the most persistent paradoxes in the corporate training sector. We’ve known it since John Dewey, David Kolb confirmed it fifty years ago, contemporary neuroscience demonstrates it, and yet training catalogs continue to be organized like digitized textbooks. The “Learning by Doing” method is not a pedagogical marketing label: it is the only proven way for training to translate into real application on the job.
At CAE, we have spent more than forty-five years applying this conviction to the design of training solutions for large companies, educational institutions, and distribution partners. And we have watched the sector move from debating whether active practice matters to debating how to implement it well. This article is a structured synthesis of what the Learning by Doing method really is, what evidence supports it, how it materializes in online corporate training, and, above all, how to distinguish a catalog that truly applies it from one that merely advertises it.
What the Learning by Doing method is and why its definition matters
Learning by Doing is a pedagogical approach that holds that genuine learning — the kind that produces sustained behavioral change over time — occurs when the learner actively engages in problem-solving, decision-making, and skill practice in contexts as close as possible to those in which they will need to apply what they’ve learned.
This seemingly simple definition contains a radical idea: passive content consumption (reading, listening, watching) generates, at best, recognition. Only active practice generates applicable knowledge. And in corporate training, applicable knowledge is the only thing that matters. A company doesn’t invest in training so that employees recognize concepts: it invests so they perform better in their role.
The term is popularly associated with John Dewey and his 1938 work “Experience and Education,” where he laid the foundations of modern experiential learning. But its roots go back further, and later developments have consolidated it as one of the best-supported approaches in contemporary pedagogy.
The four pedagogical foundations of Learning by Doing
What distinguishes a solid pedagogical approach from a decorative methodology is that the former is backed by decades of research. Learning by Doing brings together four particularly robust academic foundations.
First foundation: Kolb’s experiential learning cycle
David Kolb, in the 1970s, formulated the experiential learning model that remains a reference point for any serious corporate training program. His thesis is that learning occurs as a four-phase cycle: concrete experience, reflective observation, abstract conceptualization, and active experimentation. The cycle closes when the learner applies what they have conceptualized to a new practical situation.
What matters about this thesis is that any training model that skips one of the four phases produces incomplete learning. Most traditional e-learning courses stop at the abstract conceptualization phase (presenting theory) and, at best, add reflective observation (a discussed case study). Without concrete experience or active experimentation, the cycle is broken.
Second foundation: Edgar Dale’s learning pyramid
The learning pyramid attributed to Edgar Dale, although widely reinterpreted over the decades, remains a didactically useful representation of a consistent phenomenon: retention varies dramatically depending on the learner’s degree of active participation. The exact figures can be debated, but the principle is consistent with contemporary research: learners retain approximately 10% of what they only read, 20% of what they only hear, 50% of what they see and hear combined, 70% of what they discuss with others, and 90% of what they actually do. The gap between 10% and 90% is the distance between training that gets forgotten and training that transforms.
Third foundation: retrieval practice
The most recent research in cognitive neuroscience, synthesized in academic projects such as Retrieval Practice, has established a further fundamental principle: the act of actively recalling what has been learned is, in itself, what consolidates learning in long-term memory. It is not enough to have studied something once. The brain must be forced to retrieve information for it to settle in. This is the scientific basis for why assessments, repeated practical exercises, and simulations are not just measurement tools: they are learning-consolidation tools.
Fourth foundation: transfer to the job
Contemporary corporate pedagogy, embodied in the work of organizations such as the Association for Talent Development, has placed job transfer as the ultimate metric of learning. It doesn’t matter how much a learner retains if that retention doesn’t translate into applied professional behavior. And the evidence is conclusive: job transfer is exponentially higher when the learner has practiced in contexts similar to the application context than when they have only consumed theoretical content.
Why passive content consumption still dominates training catalogs
If the evidence is so robust, why does the sector still overwhelmingly produce courses based on passive consumption? There are three reasons worth naming.
The first is economic: producing a passive-consumption course is much cheaper than producing a course with real active practice. A sequence of slides with narration costs a fraction of what an interactive simulation, an AI-driven conversational role-play, or a branching practical case costs. Providers that optimize for margin rather than impact choose the former.
The second is operational: measuring consumption is trivial (did the learner complete the sequence?), while measuring active practice requires more sophisticated infrastructure. Many catalogs are designed to produce metrics that are easy to report, not verifiable learning.
The third is cultural: the dominant educational model throughout the 20th century was precisely the passive transmission model (lecture, textbook, final exam). The cultural inertia is enormous. Breaking it requires an active effort of methodological redesign that many organizations are not prepared to undertake.
How Learning by Doing is actually applied in online corporate training
Once the “why” has been established, it’s worth grounding the “how.” These are the five concrete levers that bring the Learning by Doing method to life in a quality online training catalog.
First lever: contextualized simulations
The learner faces situations that simulate, as realistically as possible, the real challenges of their role. A salesperson practices a difficult call with a challenging customer. A middle manager handles a delicate feedback conversation with a team member. A technician makes decisions under pressure in an operational scenario. The key is that the simulation is not an excuse to fit in theoretical content: it is the fundamental unit of learning.
Second lever: AI-driven conversational role-play
The natural evolution of simulation is AI-powered conversational role-play. The learner holds a natural conversation with a virtual character who responds realistically, raises objections, shifts tone, and forces the learner to adjust their behavior. This format, unimaginable five years ago, is now fully operational and represents the most significant advance in Learning by Doing over the past decade.
Third lever: adaptive, immediate feedback
Practice without feedback is wasted practice. Learners need to know, in the moment, what they did right, what they did wrong, and why. Immediate feedback is not just a correction: it is the tool that closes Kolb’s cycle and turns concrete experience into learning.
Fourth lever: spaced and repeated practice
A single exposure to a concept, however well designed, does not guarantee retention. Spaced practice (returning to the same concept at increasing intervals) and repeated practice (solving variations of the same type of problem) are the techniques that consolidate long-term learning. Any serious catalog must incorporate mechanisms for periodically revisiting key content.
Fifth lever: guided application to the job
The final link is explicitly inviting the learner to apply what they’ve learned in their actual work. It’s not enough to expect transfer to happen spontaneously: it must be prompted through concrete tasks, personal action plans, and follow-up mechanisms that turn the course into observable change.
How to tell a catalog that applies Learning by Doing from one that just advertises it
As with artificial intelligence, the term Learning by Doing has become so popular that its commercial use has, in many cases, been emptied of meaning. Here are four questions worth asking any provider that claims to apply the method.
First: what percentage of the learner’s time is spent on active practice versus passive consumption? A solid answer cites 50%-70% active practice. An evasive answer indicates the method is just a label.
Second: can they show live simulations or role-plays? The capacity for conversational improvisation, the naturalness of the feedback, and the degree of realism can only be assessed by interacting with the system, not by watching recorded demos.
Third: how is learning assessed? If the final assessment is a multiple-choice quiz, the method is not Learning by Doing no matter how it’s advertised. An assessment consistent with the method includes case resolution, an evaluable simulation, or a practical demonstration.
Fourth: what job-transfer metrics do they measure, and how? This is the definitive question. Those who apply the method measure its impact. Those who merely advertise it don’t.
CAE’s approach and how it materializes in the LearningHub catalog
At CAE, the Learning by Doing method is the guiding principle that has shaped our training solutions since our founding. It is not a label added after the fact: it is the consequence of forty-five years of working with organizations that expect training to produce measurable results, not reportable activity.
Today, this conviction is embodied with particular clarity in the LearningHub catalog, where the method translates into AI-driven conversational role-play, contextualized simulations, adaptive assessments, and guided application to the job. The full pedagogical philosophy is laid out on the methodology page, where you can review how each of the five levers above is applied concretely across the catalog’s more than 130 pieces of content.
Frequently asked questions
Is Learning by Doing a new methodology?
No, it is one of the best-established pedagogical methodologies, with a long history behind it. What’s new is that today’s technology allows it to be implemented at scale in an online format, something that for decades was limited to in-person training.
Does Learning by Doing work for all types of competencies?
Yes, although how it materializes varies. For soft skills (leadership, communication, negotiation), it is applied through role-play. For technical competencies, it is applied through operational simulations. For compliance and regulatory training, it is applied through case resolution. Active practice is always the guiding principle, but the specific format adapts to the nature of the competency.
How much does a well-designed catalog under this method increase completion rates?
Sector data indicates increases of 30% to 50% in completion rates, and even greater improvements in job transfer. Active practice doesn’t just improve learning: it makes courses significantly more engaging for learners.
Is a catalog based on Learning by Doing more expensive?
Production is more costly than the traditional model, but the return is far greater. The right question isn’t how much it costs to produce, but how much it costs not to apply it: catalogs without active practice generate low completion rates and minimal transfer, which makes the entire investment pointless.
Is Learning by Doing compatible with subsidized training such as FUNDAE (Spain)?
Fully. In fact, courses well designed under this method have an advantage in audits because they generate detailed traceability of the learner’s effective participation, not just their connection presence.
Conclusion: active practice is not an option, it’s the pedagogical standard
For years, Learning by Doing was presented as one among several training methodologies. This view is no longer sustainable. The evidence accumulated over decades, from Dewey and Kolb to contemporary neuroscience, converges on the same conclusion: active practice is what produces applicable learning, and everything else is a complement.
For organizations planning or renewing their training strategy, this has a concrete operational implication: the criterion for selecting a catalog provider should no longer be “what topics does it cover?” but “what percentage of the learner’s time will be real active practice?” The difference between these two questions separates training that works from training that merely appears to work.
At CAE, after forty-five years, we continue to maintain that pedagogy is the heart of every training solution. Learning by Doing is the most concrete expression of that conviction, and today’s technology finally allows it to be applied at industrial scale without losing academic depth.
Would you like to know how we apply this method to your specific training context? Contact our team for an initial conversation about the concrete levers that would improve the impact of your training program.