How Do We Know What We Know?

What does it really mean to know something, and how do human beings turn experience, observation, reasoning, and interaction into knowledge?

I would normally begin by defining the word knowledge to create a foundation for the discussion. In this case, though, I want to begin with my own understanding. To know something means that I have sufficient justification for believing it to be true based on my senses, experiences, and reasoning. I may witness an event, recall a previous encounter, or think through an idea until I reach the point where I can say, “I know this to be true.”

That statement carries more certainty than saying, “I believe this to be true.” Belief may be sincere, but knowledge implies that the belief has been examined, supported, and, when possible, verified.

How we come to know the world

Philosophers have long debated whether human beings are born as blank slates or enter the world already possessing certain forms of knowledge. Whatever position one takes, our earliest interactions with the world are limited. As newborns, we are primarily driven by basic needs such as hunger, love, comfort, and safety.

As we grow, our surroundings begin to shape our understanding. The people we interact with, the environments we enter, the mistakes we make, and the questions we pursue all influence how we interpret the world. That understanding is not fixed. It may be expanded, challenged, realigned, or replaced as we encounter new experiences and perspectives.

For that reason, I view knowledge as something both personal and social. It begins with the individual, but it becomes stronger when it is tested beyond the individual.

Knowledge as verified belief

My working definition is that knowledge is the verification of a belief. Much like the scientific method, we observe, form a hypothesis, test it, and examine the results. At times, this process takes place through direct interaction with the world. At other times, it occurs through reasoning and reflection.

The important distinction is that knowledge should involve some form of validity and reliability. Otherwise, what we call knowledge may only be conviction.

One way we strengthen a claim is by involving other people. We ask whether they observed the same thing, reached a similar conclusion, or can reproduce the outcome. In simple terms, we ask whether “what I thought is what you thought.” Agreement alone does not prove that something is true, but shared observation and repeated verification provide stronger grounds for confidence.

Testing the theory

Imagine that I wanted to test the claim that sunlight and water help a seed grow into a plant. I would begin by gathering a small group of observers to create what I might call a “verification table.” Because human senses, experiences, and interpretations are imperfect, each person may understand the same event somewhat differently. Having multiple observers can help reduce individual bias.

I would then place a seed in soil, water it, and set the container near an east-facing window. The observers would document the conditions and confirm that the stated process had been followed.

If the seed began to grow, I could say that the original belief had been supported. The observers would add validation, and they could repeat the experiment to see whether the result remained consistent.

Even then, the result would not be free from uncertainty.

The condition of the soil, the planting depth, the amount of water, the type of seed, the temperature, and the amount of sunlight could all influence the outcome. The devil is in the details. A failed result might not disprove the general claim. It might instead reveal that an important variable had not been controlled.

This is where knowledge becomes more complicated. Verification does not always produce absolute certainty. More often, it gives us a stronger or weaker basis for what we claim to know.

What can we know with certainty?

Descartes famously wrote, “I think, therefore I am,” though the wording varies by translation. The power of that statement lies in its attempt to identify something that cannot easily be doubted.

I know that I can think. I can question, reason, calculate, remember, doubt, and consider possibilities related to my own existence. My senses may be fallible, and my experiences may be unique, but the act of thinking provides a foundation from which other knowledge can develop.

From there, human beings can observe, test, compare, revise, and reach conclusions. Some conclusions become highly reliable and are treated as facts. Others remain provisional and open to further examination.

Knowledge, then, is not simply possessing information. It is the result of an active process involving thought, evidence, experience, and reflection.

How people learn

My own educational experience shaped much of this view.

I attended the same public school system throughout my kindergarten through twelfth-grade years. It was not the strongest school system, but it was not the weakest either. It was the kind of middle-of-the-road district supported largely by blue-collar, hardworking families who wanted better opportunities for their children.

The dominant classroom model was fairly traditional. Teachers stood at the front of the room, often using an overhead projector, and presented information for us to write down and later reproduce on a test. Desks were arranged in rows. Hands were raised before questions were asked. The teacher was the primary source of academic knowledge.

That approach gave us structure and foundational information. However, much of the learning that stayed with me happened through collaboration.

My classmates and I shared notes, discussed assignments, and re-explained concepts in language that made sense to us. We would ask, “How did you get that answer?” or say, “He said to do it this way, but this makes more sense to me.” Through those conversations, we reconstructed the information and connected it to our own understanding.

Eventually, the light bulb would come on.

We did not realize it at the time, but we were participating in a constructivist form of learning. Knowledge was not simply transferred from the teacher to the student. We actively interpreted it, questioned it, and rebuilt it through discussion.

Because our school was diverse, we were also exposed to different ways of understanding the same topic. Those moments when someone said something that made me think, “I never considered it that way,” were important forms of intellectual growth.

My personal learning theory

Based on these experiences, I do not believe people learn through one method alone. Learning is more likely to occur through a combination of direct instruction, discovery, collaboration, experimentation, reflection, and active participation.

Instructivism can provide necessary facts and structure. Discovery learning encourages exploration. Constructivism helps learners build meaning from prior knowledge and social interaction. Experiential learning connects ideas to action.

My own learning theory is therefore a mixed one. People need information, but they also need opportunities to discuss it, test it, question it, apply it, and explain it to others.

Human beings are social learners. We bring different experiences to the same situation, yet we often share enough curiosity and common purpose to learn from one another.

A final thought

The central question is not only whether knowledge can be transmitted, but how it becomes meaningful.

Information may begin with a teacher, book, lecture, or experience. Knowledge develops when the learner examines that information, connects it to prior understanding, tests it against evidence, and discusses it with others.

To know is not simply to receive an answer. It is to participate in the process through which an answer becomes justified, useful, and open to further reflection.

Published by Michael Lance Whisenant, PhD

I am a strategic thinker who lives at the intersection of technology, people, and systems. My background spans learning technologies, information security, research, and business, and I am at my best when I am solving complex problems, building bridges between organizations, and turning ideas into structured, real-world solutions. In practice, that has meant designing and supporting digital ecosystems, working across IT, security, and operations to make tools actually work for people. I work extensively in Microsoft 365, including Entra ID, Intune, Security, and Exchange, managing access, policies, compliance, and integrations to keep environments both usable and secure. I have implemented information security policies, led risk assessments, and responded to incidents, while also collaborating with stakeholders to streamline workflows, introduce AI-driven tools, and improve the way teams teach, learn, and work. I am comfortable sitting with messy systems, mapping them out, and then building processes and solutions that are clear, reliable, and scalable. I hold a PhD in Learning Technologies, and that research mindset shapes how I approach everything. I ask good questions, gather evidence, map systems, and make thoughtful decisions. I have published and presented on technology, education, and human performance, and I continue to study how people learn, adapt, and make decisions in tech-heavy environments. I am comfortable moving between strategic planning and hands-on execution, whether that involves refining a process, architecting a solution with IT, or building a narrative that brings others on board. Looking ahead, I am interested in roles and ventures where I can combine strategy, research, information technology, problem solving, and marketing to grow something meaningful. I bring energy, clear thinking, and the ability to connect the right people and opportunities, whether that is inside an institution, across a region, or in a new business venture. Research interests: technology proficiency, information security, technology-based learning environments, connectivism, artificial intelligence, machine learning, human resilience, human performance improvement, ethics, human cognition, and human–computer interaction.

Leave a Reply

Discover more from LTECwithLance

Subscribe now to keep reading and get access to the full archive.

Continue reading