Learning & Development · Deep dive
The Cognitive Edge · Issue 01 · October 2026
The Neurobiology of Forgetting
The Hidden Liability of Corporate Learning
When knowledge fades before it can be applied, the real cost of training may go unnoticed.
By Camila Silva · Head of Behavioral Solutions, DigitAll360
Camila Silva · October 2026 · 12 min · Deep dive

The quarterly training report looks promising. Participation is high, employees have passed their assessment, and management has every reason to believe its investment was worthwhile.
Until something unexpected happens.
Perhaps a sudden shift in market conditions forces a leadership team to reconsider its strategy. The situation calls for skills they've already learned, yet applying that knowledge proves harder than anyone anticipated.
The training wasn't necessarily ineffective. Neither were the employees incapable.
What if the organization measured success too soon?
It's a question that leads us into the fascinating relationship between human memory, cognitive performance, and the way organizations develop their people.
The Illusion of Knowing
Think about the last time you read something and felt you understood it perfectly. Then someone asked you to explain it without looking.
Suddenly, the words didn't come quite as easily.
This familiar experience reveals an important distinction in cognitive psychology: recognizing information isn't the same as retrieving it independently.
Our brains don't store information like computers saving documents. Memory emerges through complex interactions among neural networks, with the hippocampus playing a particularly important role in forming many types of new memories.
As we learn, we encode information and then process it in ways that help consolidate and stabilize it. Retrieval lets us access that knowledge later, though success depends partly on how we learned it and the circumstances in which we need it.
In 2006, researchers Henry Roediger and Jeffrey Karpicke examined how well students remembered written material after repeated study or recall practice. Their experiments found that retrieval practice led to stronger retention on delayed tests, even when repeated studying initially seemed more effective.
The findings revealed something intriguing: participants who studied repeatedly reported greater confidence in their ability to remember the material, even though they performed worse on later recall tests.
Familiarity, it turns out, can be rather convincing.
DigitAll360 explored this challenge in its earlier publication, What Is Retrieval Learning?, emphasizing spaced assessments, repeated recall, and opportunities to apply knowledge in realistic situations.
For organizations, the implication extends beyond memory. Employees may understand a concept yet struggle to recognize when or how to use it in unfamiliar circumstances.
This is where experience becomes particularly valuable.
Synthetic Experience: Practicing Before the Stakes Become Real
Imagine sitting at an executive table, debating whether to expand into a new international market.
The financial projections appear favorable. Your commercial team sees considerable opportunity, but uncertainty remains around regulatory requirements and competitor activity.
Every decision involves a trade-off.
Now imagine exploring those choices, observing their potential consequences, and reconsidering your strategy without risking the company's actual expansion capital.
This is the principle behind synthetic experience.
Through simulation, participants encounter deliberately constructed situations that reflect the complexity of professional decision-making. Instead of observing someone else's solution, they must consider the options, reach a decision, and respond to what happens next.
The advantages extend beyond acquiring information.
A manager can rehearse navigating uncertainty before facing a costly operational challenge. Leadership teams can see how competing priorities affect collaboration, while less experienced employees can practice judgment in a controlled environment.
These experiences may also reveal what conventional knowledge assessments can overlook: the reasoning behind a decision.
Why did the team prioritize short-term profitability? Which assumptions influenced its response? Did everyone understand how individual choices affected the broader organization?
These questions can uncover valuable development opportunities.
In its May 2026 article, Why the Future of Work Might Demand a "Le_an" Revolution, DigitAll360 advocates anchoring capabilities rather than focusing exclusively on content delivery.
The publication presents high-fidelity simulations as environments where people can explore how their decisions influence organizational systems and examine potential blind spots before those choices affect real operations.
Synthetic experience offers a practical expression of that philosophy: a place to experiment with decisions that might otherwise be too costly, complex, or unpredictable to rehearse.
The Neuroscience of Practice, Feedback, and Adaptation
Neuroplasticity lets the brain change through experience, but lasting improvement depends on how that experience is structured: deliberate practice strengthens targeted skills, feedback reveals the gap between intention and performance, and reflection turns each attempt into a better-informed response. Together, these processes turn experience into adaptation by helping learners recognize patterns, revise assumptions, and apply improved judgment to new situations.
Consider a leader whose decisions frequently rely on incomplete information. In a simulated environment, an unexpected outcome may expose assumptions that would otherwise go unchallenged. Examining those decisions encourages metacognition, the ability to monitor and evaluate our own thinking, and can help participants approach similar challenges with greater awareness.
In 2011, Traci Sitzmann analyzed 65 studies involving 6,476 participants. Computer-based simulation games produced average advantages of 14% in procedural knowledge and 9% in retention compared with other instructional approaches. These results support the central argument that synthetic experience can help learners practice skills and retain what they learn. However, the analysis also identified publication bias and substantial variation in outcomes across studies. Simulations were not consistently superior to other active learning methods, suggesting their benefits cannot be attributed to the medium alone. Task quality, feedback, guidance, and opportunities for reflection likely shape whether practice produces meaningful improvement.
A separate 2014 meta-analysis by Andreas Gegenfurtner and colleagues examined 15 studies involving 2,274 learners. It found that greater learner control within digital simulations was associated with stronger self-efficacy (confidence in performing a task) and improved learning transfer, the ability to apply acquired knowledge in another setting. This finding reinforces the importance of active decision-making. When learners can make choices and see their consequences, simulations may strengthen both confidence and the ability to use knowledge beyond the exercise itself. Yet the evidence was correlational, and learner control is not automatically beneficial. Without clear goals, appropriate constraints, feedback, or instructional support, too much freedom can increase confusion or reinforce ineffective strategies.
Taken together, the two meta-analyses support a qualified claim. Simulations can provide valuable opportunities for deliberate practice, retention, confidence-building, and transfer, but they are not inherently effective simply because they are interactive or realistic. Their value depends on instructional design: scenarios should present meaningful decisions, consequences should be interpretable, feedback should help learners identify and correct errors, and reflection should connect the experience to future action.
These findings highlight an important distinction: the value of synthetic experience lies not simply in recreating reality, but in giving people well-designed opportunities to make decisions, examine consequences, receive feedback, and refine their judgment.
The Organizational Advantage: Beyond Individual Learning
Consider what happens when an entire team enters the same synthetic environment.
Each participant brings different responsibilities and priorities. A decision that benefits one department may create difficulties for another, revealing interdependencies that teams often overlook when they work separately.
Synthetic experience brings these relationships into focus before the organization has to confront their real-world consequences.
A simulation provides an opportunity to investigate them through a shared challenge.
Teams can examine how information moves between departments, where communication breaks down, and how competing objectives influence collective decisions.
Research on team development offers a useful perspective here.
In 2008, Eduardo Salas and colleagues published a meta-analysis of 93 effect sizes from 2,650 teams. Their findings indicated that structured team-training interventions were associated with improvements in outcomes including teamwork processes, knowledge, attitudes, and performance.
The research examined team training broadly, not just simulations. Nevertheless, it reinforces the value of deliberately practicing collaboration instead of assuming effective teamwork will develop on its own.
Organizations can apply synthetic experience to a variety of professional challenges.
An emerging manager might rehearse a difficult conversation. A sales team could navigate a fictional client negotiation, while senior executives explore the consequences of competing strategic priorities.
These examples offer a chance to practice behaviors and decisions before facing similar situations at work.
The discussion that follows can be just as valuable as the activity itself.
When participants explain their reasoning, compare perspectives, and examine the outcomes, facilitators can identify areas that deserve further attention.
Simulation doesn't remove uncertainty from professional life.
It allows people to practice responding to it.
From Synthetic Experience to Business Value
Organizational benefits become more meaningful when synthetic experiences connect to specific performance objectives.
Suppose a company is struggling with slow decision-making across departments.
A simulation could place cross-functional teams in a situation where limited resources, incomplete information, and changing priorities require coordinated action.
The objective would not simply be to complete the exercise.
It might be to improve how participants communicate critical information, evaluate trade-offs, or recognize the consequences of decisions beyond their immediate responsibilities.
After the activity, a structured discussion could help participants identify approaches worth applying to their work.
Follow-up assessments or workplace observations would then provide a basis for examining whether those capabilities developed and transferred beyond the simulated environment.
This distinction matters.
Strong performance in a simulation is encouraging, but it does not automatically prove lasting workplace improvement or a financial return on training investment.
Those outcomes require appropriate evidence.
For business leaders, however, synthetic experience creates a potentially valuable opportunity: developing and evaluating capabilities through realistic practice rather than relying exclusively on the delivery of information.
When aligned with business objectives, simulation-based learning can support preparation for complex decisions, strengthen collaboration opportunities, and reveal where additional development is needed.
The goal isn't to replace traditional instruction. It is to make learning more applicable to the challenges employees actually face.
The Competitive Advantage of Preparation
Uncertainty is inevitable in business. What separates organizations is often their ability to recognize emerging challenges, evaluate alternatives, and respond with confidence.
Synthetic experience creates opportunities to build these capabilities before testing them, letting teams explore unfamiliar situations without exposing the business to the same risks.
For leaders, the question becomes more strategic:
If your organization could rehearse one critical business challenge today, which would have the greatest impact on its future performance?
The answer could be the starting point for a more purposeful approach to professional development.
DigitAll360 Publications
- DigitAll360. (2022, March 8). What Is Retrieval Learning? LinkedIn.
- DigitAll360. (2026, May 1). Why the Future of Work Might Demand a "Le_an" Revolution. LinkedIn.
Scientific Research
- Roediger, H. L., & Karpicke, J. D. (2006). Test-enhanced learning: Taking memory tests improves long-term retention. Psychological Science, 17(3), 249–255. https://doi.org/10.1111/j.1467-9280.2006.01693.x
- Sitzmann, T. (2011). A meta-analytic examination of the instructional effectiveness of computer-based simulation games. Personnel Psychology, 64(2), 489–528. https://doi.org/10.1111/j.1744-6570.2011.01190.x
- National Academies of Sciences, Engineering, and Medicine. (2018). How people learn II: Learners, contexts, and cultures. The National Academies Press. https://doi.org/10.17226/24783
- Gegenfurtner, A., Quesada-Pallarès, C., & Knogler, M. (2014). Digital simulation-based training: A meta-analysis. British Journal of Educational Technology, 45(6), 1097–1114. https://doi.org/10.1111/bjet.12188
- Salas, E., DiazGranados, D., Klein, C., Burke, C. S., Stagl, K. C., Goodwin, G. F., & Halpin, S. M. (2008). Does team training improve team performance? A meta-analysis. Human Factors, 50(6), 903–933. https://doi.org/10.1518/001872008X375009
Camila SilvaHead of Behavioral Solutions · DigitAll360


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