In my experience, much corporate digital learning lacks the structured methodology that I encountered in language training. Instructional design excels at project-management frameworks such as ADDIE and SAM, which can help teams manage complex development projects. It also draws on Bloom’s taxonomy, Gagné’s events of instruction, constructivism, cognitive-load theory, and many other established frameworks. Yet, in many corporate learning solutions, these ideas are reduced to a familiar pattern: present complex information in a short video with slides and then add a few knowledge-check questions at the end.

The result is often information exposure followed by lightweight recall, rather than a carefully designed learning process. This approach may borrow elements of established theories, but it often fails to apply them as a coherent method for building performance. Gagné’s framework, for example, includes all the elements that support retention and transfer, not simply presenting content and testing recall.

I would argue that this substandard approach often does not pay enough attention to how learning actually develops This just happens to be where language education offers a useful contrast. Good language teaching has developed practical, learner-centred methodologies designed to move people from limited knowledge towards usable performance. It is not flawless, and it can become overly formulaic, but its best practices reveal a gap in much corporate learning: the difference between explaining something and enabling someone to do it.

Theory Is Not a Teaching Methodology

Instructional designers are usually trained to recognise a wide range of learning theories. Bloom can help distinguish remembering from applying and creating. Gagné can help sequence instructional events. Cognitive-load theory highlights the limits of working memory. Constructivist approaches emphasise active meaning-making.

Each is a useful lens on learning, but none is a complete training methodology.

Knowing that learners should “apply” knowledge does not, by itself, tell a designer how to build a sequence that enables application. Knowing that cognitive overload is harmful does not automatically produce manageable tasks, useful examples, gradual challenge, or sufficient feedback. Too often, theory becomes a vocabulary for describing learning rather than a disciplined process for designing it.

Complex content delivery followed by a short quiz is a good example. The quiz may be attractively designed and technically sophisticated, but it cannot establish whether learners can solve a realistic problem or perform a task under the conditions in which their work actually happens.

Once that is clear, content should support performance rather than become the course’s main event.

Language Teaching Begins with the Learner

Professional language teaching is generally more rigorous about the relationship between learner, task, and progression. A competent language teacher does not simply present grammar and vocabulary because these happen to be on a syllabus. They consider what learners can already do, what they need to do, where the gap lies, and what support will allow them to make progress.

This is closely aligned with Vygotsky’s concept of the Zone of Proximal Development: the space between what a learner can do independently and what they can do with suitable guidance or collaboration. Scaffolding provides temporary support within that zone and is gradually removed as learners gain independence.

That principle has practical consequences. In a language classroom, a task is normally calibrated. Learners may first encounter a model, notice useful language, practise a limited element with support, attempt a more meaningful task, receive feedback, and then try again with less help. Complexity is managed through a carefully staged and scaffolded process.

This is scaffolding in action. It is not merely putting introductory material before advanced material. It means actively managing the distance between what learners can do now and what they need to do next.

Presentation Is Not Practice

A common weakness in digital learning is the assumption that clear explanation produces capability. A learner can watch a presentation on giving feedback, managing a difficult customer conversation, interpreting financial data, using a new process, or complying with a safety procedure. However, they may still be unable to perform any of these effectively in a real situation.

Recognition is easier than recall. Recall is easier than application. Application in a controlled exercise is easier than performance in a changing, pressured workplace.

Language teaching understands this distinction because its end goal is inherently practical. Knowing the rules for conditional forms is not the same as negotiating a deadline. Knowing business vocabulary is not the same as leading a meeting. Learners need repeated, purposeful opportunities to use new language in situations that resemble their real communicative needs.

The same logic should apply across workplace learning.

If the goal is for managers to conduct better performance conversations, learners need to practise conversations. If the goal is for staff to identify data-security risks, they need to make decisions in realistic scenarios with incomplete information and plausible distractions. If the goal is for sales teams to use a new CRM process, they need guided work in an environment that resembles the system and the decisions they will face at work.

A multiple-choice quiz can have a place, especially for retrieval practice or checking critical factual knowledge. But it should not be mistaken for evidence of competence.

Practice Needs Progression and Feedback

One of language teaching’s strongest contributions is its understanding of controlled, guided, and freer practice.

At an early stage, learners may need tightly structured activities that reduce unnecessary cognitive load. They might match expressions to functions, complete a dialogue, rehearse a short response, or transform a model. This allows them to focus their attention on one manageable feature before they have to coordinate many elements at once.

Next comes guided practice: role plays with prompts, structured case discussions, partially completed documents, simulations with support, or decision-making tasks with feedback. Learners then move towards more independent and authentic use: handling an unscripted conversation, writing to a real audience, or solving a workplace problem with realistic constraints.

This is not exclusive to language learning. It is a general principle of skill development, but language teaching has made it an established routine.

Self-Paced Learning Has Limits

Self-paced e-learning is highly useful in modern learning. It can provide flexible access, consistent content, and, with current technology, increasingly effective performance support. It is particularly effective when learners need information at the point of need or when the desired performance outcome is narrow and clearly defined.

Its limitations become clearer when learning requires judgement, communication, collaboration, adaptation, or the handling of ambiguity. These are precisely the capabilities organisations often claim to value most.

Independent digital study cannot fully replace discussion with peers, live questioning, expert modelling, feedback on imperfect attempts, or the productive pressure of explaining and defending a decision. It also places substantial demands on learner motivation, self-regulation, available time, and confidence.

Language education has long recognised that self-study can complement learning but rarely substitutes for interaction when interaction is itself the target skill. A learner preparing for international meetings needs opportunities to negotiate meaning, misunderstand, repair communication, receive feedback, and try again.

For many professional topics, the same is true. The answer is not to abandon digital learning, but to design blended solutions more deliberately, including collaborative workshops, manager-supported application, and follow-up activities embedded in real work.

A More Rigorous Instructional Design

Of course, neither field is uniform. Language teaching can also become presentation-led, decontextualised, and overly dependent on coursebook routines. Equally, many instructional designers already create excellent simulations, coached practice, and blended learning experiences. The point is not that one profession has solved the problem and the other has failed. It is that language teaching has developed a more widely recognised practical grammar for moving learners from support towards independent use.

Instructional design needs to treat performance practice as central rather than optional.

A more rigorous approach would begin by analysing real tasks, rather than simply collecting content from subject-matter experts. Designers should identify what competent people actually do, the decisions they make, the mistakes novices commonly make, and the contexts that make the task difficult. They should then identify the support learners need initially and how that support can be removed gradually as learners gain independence.

Content would be shorter and more purposeful. Assessment would include doing, deciding, explaining, and producing, not merely selecting an answer in a quiz. Feedback would be specific enough to improve a second attempt. Digital components would be used where they are strongest, while live and social components would be used where interaction, coaching, and judgement matter most.

The deeper lesson from language teaching is simple: learning is not complete when material has been presented, nor when a learner has passed a quiz. It is complete only when the learner can use what they have learned in a meaningful context with an appropriate degree of independence.

That should be the standard by which instructional design judges itself

Please note that the above image was generated by Chat GPT