The Future of Learning Needs a Compass, Not a Map

When answers are everywhere and change is constant, the most important thing we can teach may be how to navigate what we don't know.

Education and professional development, I would like to think, has always been built around a reasonable assumption: "If we can anticipate what people will need to know, we can teach it to them." We create curricula... We develop courses... We write textbooks... We establish learning objectives... We test knowledge... We award qualifications and certifications.

In effect, we have drawn maps on how to get from point A to point B. Those maps may have served us remarkably well, providing structure, direction, and a way of passing accumulated knowledge from one generation to the next. But what happens when the terrain begins changing faster than we can redraw the map?

At a Lean conference last year, the key note Japanese speaker, former Toyota executive, and veteran of the Toyota Production System (TPS) asked the audience if anyone's company was facing an existential threat. I raised my hand and when asked, stated that our online training product, RPM-Academy, would be obsolete in 3-5 years. Redrawing the map, for us, is mission critical and not without its challenges.

Sign up for a FREE Account

Technologies, occupations, business models and sources of information are evolving rapidly, much of it driven by rapidly evolving capabilities of artificial intelligence and automation. Problems are increasingly crossing traditional disciplines, and people routinely encounter situations for which there is no chapter in the textbook, procedure in the manual, or course completed five years earlier. Our "inventory" of knowledge—at least what we remember or can recall is rapidly becoming... obsolete.

At the same time, access to knowledge has undergone an extraordinary transformation. For much of human history, knowledge was scarce and difficult to access but over the last few decades, that has changed dramatically... exponentially. Many of us today have, literally at our fingertips and "just in time", access to more information (and disinformation) than previous generations could have encountered in a lifetime.

Generative AI now provides explanations, analyses, recommendations and apparent "answers" almost instantaneously. The challenge is no longer simply finding an answer... It's determining whether the answer deserves to be trusted. Perhaps the future of learning therefore requires something in addition to better maps. Perhaps it needs a compass.

From Knowledge to Competency to Capability

Before reconsidering how we learn, it may help to distinguish three ideas that are frequently used interchangeably: knowledge, competency and capability.

• Knowledge is what we know.

• Competency is our demonstrated ability to apply knowledge and skills effectively in a particular context.

• Capability, however, goes further. It is our ability to bring together knowledge, competencies, judgment and resources to perform effectively—even when the situation is unfamiliar or changing.

I think that distinction matters more than ever. Someone can possess considerable knowledge without being competent in its application. Someone can be highly competent within familiar circumstances yet struggle when those circumstances change.

And someone can be broadly capable while recognizing that they do not yet possess a particular competency. A capable person can say: "I don't know how to do this yet." But they can also determine what they need to learn, identify appropriate sources, seek assistance, experiment, evaluate the results and develop the competency required. This suggests that capability is not simply the accumulation of competencies. It includes the ability to develop, select, combine and adapt competencies as circumstances require.

That becomes increasingly important when we cannot confidently predict what those circumstances will be.... how uncertain that future may be.

What Are We Actually Trying to Develop?

Traditional learning design often gravitates quickly toward questions of delivery... the how:

• Should this be taught in a classroom?

• Should we develop an online course?

• How long should the program be?

• Should learners work individually or collaboratively?

• Can AI provide coaching?

Those are legitimate questions but, perhaps, they come too early. Before deciding when, where or how learning should occur, we should first answer two more fundamental questions:

• WHAT capability are we trying to develop?

• WHY does it matter?

Only then should we determine:

• WHEN is that learning needed?

• WHERE is it best developed or accessed?

• HOW should it be learned, practised, coached or supported?

This distinction may become increasingly important. What and why can be relatively enduring. When, where and how are increasingly fluid.

Consider statistical analysis, something near and dear to the hearts of Lean Six Sigma folk, and essential in terms of foundations for navigating life itself. The software used to perform an analysis will change dramatically with AI not only assisting, but performing the entire analysis and providing an explanation, summary of the results, and offering conclusions. But... the underlying need for capability remains remarkably durable: "Can we use evidence to understand variation and make better decisions?"

Communication technologies will change, but the capability to communicate clearly, listen effectively and influence constructively remains. Sources of information will change, but the capability to evaluate credibility remains. The tools are transient... capability is more enduring. That should influence how we think about learning.

When Answers Become Abundant

Education, historically, was necessarily designed around knowledge transfer. The teacher or instructor knew something the learner did not. The textbook contained information the learner could not readily access elsewhere. The classroom provided access to both. Granted, that relationship has changed over the decades, but artificial intelligence accelerates the transition dramatically just as it has done across all industry sectors and life itself.

A learner can now ask for an explanation of regression analysis, have it rewritten for a twelve-year-old, request an example from healthcare, generate practice questions, receive feedback and ask unlimited follow-up questions... all within minutes. That is extraordinary, but readily available answers create real problems;

• An answer can be articulate, persuasive and wrong (unless you are willing to "dig deeper", lol)

• Information can be accurate but irrelevant

• Evidence can be genuine but incomplete

• Sources can have incentives

• Data can be "selectively presented"

• Assumptions can remain invisible

• Artificial intelligence can produce confidence without certainty.

So when answers become abundant, another resource becomes increasingly valuable: Judgment. The question facing education may therefore be shifting from, "What does this person need to know?", to "What does this person need to be capable of doing when neither they nor their technology knows exactly what comes next?" And that... is a very different educational challenge.

Nine Competencies for Navigating What We Don't Know

Over the past several months, RPM-Academy's THINK30 learning initiative has increasingly focused on a simple idea: Before accepting an answer, making a decision or reacting to information, take time to think.

From that work emerged nine interconnected competencies:

1. Question: What am I being told? Before evaluating an answer, understand the claim.

2. Evidence: How do we know? What evidence supports the conclusion, and how strong is it?

3. Source: Who is telling me, and why? Where did the information originate, and what interests or incentives might influence it?

4. Assumptions: What are we taking for granted? What must be true for our reasoning to hold?

5. Perspective: What might I be missing? How might the problem look from another viewpoint?

6. Uncertainty: What don't we know? Where are the gaps, limitations and unknowns?

7. Experiment: How could we test it? What could we observe, measure or try before committing ourselves?

8. Decision: What does the evidence justify? Not what do we hope, fear or assume—but what conclusion does the available evidence reasonably support?

9. Reflection: What would change my mind? Perhaps one of the most difficult questions of all.

Together, these form something more useful than a checklist. They form a compass. And unlike many technical competencies, they are remarkably scalable.

• A ten-year-old watching a video online can ask: Who is telling me this, and why?

• A secondary-school student encountering a provocative social-media post can ask: How do we know this is true?

• A university student reading research can ask: What assumptions underpin this conclusion?

• An engineer reviewing an AI-generated recommendation can ask: What evidence supports this? What don't we know?

• A manager considering a process change can ask: How could we test it?

• A CEO listening to a compelling strategic recommendation can ask: What would change my mind?

Different ages. Different knowledge. Different contexts. Different consequences. But.. The same compass.

The Future of Learning: Maps Still Matter

None of this means knowledge is obsolete. Quite the opposite. We need...

• Knowledge to recognize nonsense.

• Foundational understanding to formulate meaningful questions.

• Experience to interpret evidence.

• Context to exercise judgment.

A compass without any understanding of the terrain is not particularly useful. Nor should the future of learning become an endless exercise in looking things up.

There are things people genuinely need to know, skills they need to practise and competencies they need to develop deeply enough that they become readily available when required. The problem is not that we have maps. The problem arises when we assume the map will always match the terrain.

Traditional education has understandably devoted enormous effort to creating maps: curricula, courses, textbooks, qualifications, certification programs and prescribed learning pathways. When change was slower, we could reasonably predict much of the knowledge someone would need years into the future. That assumption is becoming increasingly difficult to sustain.

The choice is not between maps and compasses. We need both.

The map provides accumulated knowledge and direction. The compass helps us navigate when the map becomes incomplete, outdated or simply doesn't describe where we find ourselves.

From Just-in-Case Knowledge to Just-in-Time Capability

This also changes our relationship with learning itself. Much traditional education is necessarily based on a just-in-case model: "Learn this now because you may need it later." That model will continue to have an important place. Foundational knowledge cannot always wait until the moment it is required. But increasingly, learning can also become just in time. When a person encounters a problem, they...

1. Recognize what they do not know

2. Identify what capability is required

3. Access appropriate knowledge or expertise

4. Learn

5. Practise

6. Apply

7. Evaluate the result

8. Reflect

Then they carry forward not merely another piece of information, but increased capability. AI can play an extraordinary role in that process. But, so can online learning, teachers, coaches, colleagues. simulation, books, experiments, community of practice, and conversations.

The question should not be which delivery mechanism wins. The better question is: "What combination best develops the capability required at the moment it is needed?" Technology then becomes an enabler of learning rather than its purpose.

The Lifespan of Tools and the Lifespan of Capability

This distinction may become particularly important as organizations rush to incorporate AI into education and professional development. New applications appear almost daily. While some will be useful and some even transformative, many, if not the majority, will disappear almost as quickly as they arrived.

Trying to prepare learners for the future by teaching every emerging tool may therefore be another attempt to draw an increasingly detailed map of terrain that is moving beneath us. We are at an even greater risk of producing an inventory of individual and collective knowledge that will remain on the shelf, and sooner than later, will become obsolete. Instead, perhaps we should ask what remains valuable regardless of which tools survive.

• Curiosity.

• Evidence.

• Critical thinking.

• Perspective.

• Experimentation.

• Judgment.

• Reflection.

The ability to recognize uncertainty without becoming paralyzed by it. The willingness to change our minds when better evidence appears. Those capabilities are unlikely to become obsolete with the next software release. If anything, technology makes them more valuable.

Learning to Navigate

There is something reassuring about a map. It tells us where we are, where we are going and what lies between. A compass offers less certainty. It does not tell us what we will encounter. It simply helps us maintain our orientation. Perhaps that is why the compass is becoming such an appropriate metaphor for learning.

The world our children, students, employees and leaders will navigate cannot be completely mapped in advance. We do not know precisely which technologies will dominate. We do not know which occupations will emerge. We do not know which current competencies will become automated. We do not know what new problems will demand solutions. We do not know... And pretending otherwise may leave learners beautifully prepared for a world that no longer exists.

The future of learning therefore cannot be only about predicting everything people will need to know. It must also be about developing people who can navigate confidently when what they need to know cannot be predicted. People who...

• Question

• Seek evidence

• Examine sources

• Challenge assumptions (respectfully, please!)

• Consider different perspectives

• Acknowledge uncertainty

• Experiment

• Make decisions justified by evidence

• Are willing to reflect and change their minds

We should continue drawing the best maps we can. But perhaps our greatest responsibility as instructors, educators, leaders, coaches and lifelong learners is to make sure that when the terrain inevitably changes, people are not left standing there holding an outdated map. Give them a compass too!