Interactive content versus Interactive learning

Do you have level 2 and 3 interactive content? What about gamification?

Such questions have become common refrains in any e-learning conversation in the recent times.  That may be because e-learning is considered a more tactical decision largely meant to engage and motivate young learners to learn. Such interactivity offers another attractive incentive for LnD teams as it is measurable on platforms through scores and clicks. In the times of YouTube viewing, mobile game addiction and micro-attention spans this seems reasonable enough.

However, deeper domain learning and mid to senior level learning are different.  They require interactivity at the mental level. This article aims to examine interactivity as understood in the e-learning context versus interactivity in the context of the science of learning.  It also aims to see the common ground of convergence between the two.

The prevalent disconnect between interactivity as understood in learning science versus interactivity commonly projected in e-learning raises three practical questions for executives and learning leaders:

·       What does interactivity actually mean in learning?

·       Why does interactivity in e-learning so often fail to represent how learning really happens, especially where the context relates to deeper learning?

·       And when do interactivity in e-learning and interactivity in learning genuinely align and converge?

Answering these questions requires stepping away from platform features and returning to what research and practice tell us about how adults learn complex, judgment-heavy work.

Defining Interactivity in Learning (Not in Platforms)

In learning science, interactivity is defined by cognitive reciprocity or in simple words, the extent to which a learning environment responds meaningfully to a learner’s thinking and causes that thinking to evolve.

Across decades of research, interactivity in learning consistently involves three elements:

1. The learner commits to a decision, explanation, or judgment
2. The environment provides feedback that is contingent on that response
3. The learner revises their mental model as a result

This definition is especially relevant in corporate learning. At senior levels, learning is not about information exposure. It is about decision quality in dynamic environments, judgment under uncertainty, and transfer to complex work contexts.

Interactivity, therefore, is not a feature. It is a mechanism for changing how people think.

What does Interactivity Look Like in Deep Corporate Learning?

In practice, effective interactivity for experienced professionals or for deeper learning is often subtle rather than flashy.  

Consider executive case discussions. Leaders analyse ambiguous business scenarios, commit to a course of action, and then confront alternative reasoning and outcomes. The learning happens not in the case itself, but in the comparison and reframing of judgment.

Another example is guided reflection in leadership development. When learners are asked to surface assumptions behind a decision and examine consequences, the interaction creates productive cognitive tension. This tension is what enables growth.

Peer challenge in senior cohorts is equally powerful. When professionals must defend reasoning, prioritise trade-offs, and explain decisions to peers, learning becomes socially and cognitively grounded.

Across these examples, the key features of interactivity that emerge are:

• Interactivity is intellectually demanding
• It is tightly connected to real decisions
• It produces insight, not activity

How interactivity is commonly implemented in corporate e-learning

In most corporate e-learning environments, interactivity is implemented very differently. It typically appears as:

• Click-through modules
• Multiple-choice knowledge checks
• Gamified scores, badges, or leaderboards
• Unguided simulations
• Open discussion boards

These elements are easy to scale and easy to report on. However, research consistently shows that their impact on deep learning and transfer is limited, particularly for experienced learners.

For mid- to senior-level professionals, this kind of interactivity often feels procedural rather than developmental. The issue is not digital delivery—it is misalignment between interaction design and cognitive demands.

Why Corporate E-Learning Interactivity has not yet made the cut in leadership learning

1. It Optimizes for Visibility, Not Thinking

Corporate platforms are built to track what can be seen: completions, clicks, time spent. As a result, interaction is often mistaken for progress. Expert learning and changes in mental models are largely invisible.

2. It Frequently Introduces Distracting Mental Load

Experienced professionals already operate under significant overload of information and inputs. Poorly designed interactivity adds unnecessary mental effort that does not support learning.

Examples include:

• Gamified compliance modules that distract from nuanced judgment
• Unguided simulations that allow learners to rehearse existing habits rather than question them
• Frequent low-level quizzes that fragment attention without offering insight

In these cases, interactivity competes with thinking instead of supporting it.

3. It Confuses Technical Capability with Learning Design

At this point, a careful distinction is worth making, particularly for executive audiences.

The ability to build interactive elements is not the same as the ability to design interactive learning. Many professionals are highly proficient with authoring tools and platforms. They can produce polished simulations, quizzes, and gamified experiences. However, designing learning that genuinely changes judgment requires more than technical skill. It requires an understanding of how expertise develops, how misconceptions persist, and how feedback reshapes mental models. When this distinction is overlooked, interactivity becomes a production exercise rather than a learning strategy, well executed visually, but weakly aligned with how adults actually learn.

This is not a critique of capability, but a reminder that interactive learning design is fundamentally a cognitive discipline, not a technical one.

How can we use Interactivity in E-Learning Truly Supports Learning

The gap between learning and e-learning narrows when interaction is designed around thinking, reflecting, evaluating, not interface activity. This happens when:

·       Learners Commit Before Seeing Answers: Prediction-based interactions, “What would you do?”, activate prior knowledge and sharpen attention to feedback.

·       Feedback Explains, Not Just Evaluates: Diagnostic feedback that addresses reasoning, trade-offs, and consequences approximates expert coaching.

·       Interactivity Is Guided, Not Open-Ended: Structured scenarios and guided practice outperform free exploration for deep domain learning.

·       Digital Platforms Support Structured Dialogue: When discussions require justification and comparison, online interaction can support expert-level learning.

The Executive Takeaway

For mid- to senior-level professionals, interactivity is not about being busy. It is about being intellectually accountable.

Interactivity in learning is defined by how thinking changes. Most interactivity in e-learning is often defined by how interfaces respond. The two overlap only when digital interaction consistently produces better judgment, clearer mental models, and improved decision-making.

The most effective corporate learning designs do less, not because the content creating technicians cannot do more, but deliberately to reduce cognitive load. Decorative interactivity needs to be replaced with mental challenge, engagement metrics with practical learning signals. Ultimately, the question is how the learning is changing how experienced professionals think and decide.

Endnotes / Sources

1. Mayer, R. E. (2020). Multimedia Learning. Cambridge University Press.
2. Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive Load Theory. Springer.
3. Freeman, S. et al. (2014). Active learning increases student performance. Proceedings of the National Academy of Sciences.
4. Hattie, J., & Timperley, H. (2007). The power of feedback. Review of Educational Research.
5. Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance does not work. Educational Psychologist.
6. Chi, M. T. H. (2009). Active-constructive-interactive framework. Topics in Cognitive Science.
7. Van Merriënboer, J. J. G., & Kirschner, P. A. (2018). Ten Steps to Complex Learning. Routledge.