The Science of Learning

We believe that effective teaching is not a matter of preference or philosophy — it is a matter of evidence.

The last two decades have produced a convergence of findings across neuroscience, cognitive psychology, and education research that tell a remarkably consistent story about how the brain learns. What that story reveals is not a list of clever classroom tricks. It is a set of foundational principles about how knowledge is built, how it becomes durable, and what conditions allow it to transfer into genuine capability. At Wayfinders, our approach to learning is built on those principles — across every subject, every studio, and every learner. This section draws from three major bodies of research — the science of learning, the science of math, and brain-based learning — because taken together, they paint a coherent picture of what it means to teach in a way that actually works.

The science of math, a research movement defined by Codding, Pelletier, and Campbell (2023) as a focus on using “objective evidence about how students learn to make educational decisions and to inform policy and practice” has established something that applies far beyond math class: learning develops in distinct, predictable stages, and instructional approaches need to match where a learner actually is. Researchers including Amanda VanDerHeyden have described these as the stages of acquisition, fluency, generalization, and adaptation — each requiring a different kind of support (VanDerHeyden & Codding, 2020). Fluent performance represents more advanced skill mastery, forecasts retention of the learned skill over time, and forecasts the ability to apply or adapt the skill to solve novel and more complex problems. Accuracy alone does not signal mastery. Two learners can both get the right answer and have dramatically different levels of true understanding — and the gap between them only becomes visible when the learning is applied in a new context or a more complex problem. This insight does not belong to math. It belongs to every discipline where foundational skills scaffold higher-order thinking, which is all of them.

The relationship between conceptual understanding and procedural fluency is equally important and equally universal. Research consistently shows that these two types of knowledge develop in an iterative, bidirectional relationship each supporting the development of the other over time (Rittle-Johnson & Schneider, 2015). Procedural fluency and conceptual understanding emerge in concert around specific and connected skills meaning that neither deep understanding nor skillful execution develops in isolation. Students who learn concepts without sufficient practice struggle to apply those concepts with confidence. Students who practice procedures without genuine understanding struggle to adapt when the problem changes. The evidence is clear that instruction must deliberately develop both, sequenced thoughtfully so that complexity is added as readiness emerges. This applies with equal force to reading, writing, science, history, and the arts and any domain where both knowing why and knowing how are required for genuine competence.

Brain-based learning research deepens this picture by illuminating the conditions under which any of this development can actually occur. Jensen and McConchie’s synthesis of neuroscience, biology, and psychology makes clear that the brain naturally learns best through relationships, the senses, movement, and emotions (Jensen & McConchie, 2020). These are not peripheral concerns. They are the operating conditions for learning itself. Research on the role of emotion in cognition has established that the brain’s emotional and learning systems are not separate — they are deeply intertwined. Emotions help make meaning out of learning and orchestrate attention and priorities. Emotional events are given preferential processing in the brain and lead to a stronger memory imprint (Bonomo, 2017). When learning is emotionally engaging — when it is connected to real questions, genuine challenges, and authentic purpose — the brain’s memory and attention systems activate together. When it is emotionally neutral or threatening, those same systems work against retention. When the brain is in distress, it is unable to correctly interpret subtle clues from the environment, store and retrieve information correctly, recognize patterns and relationships, or hold information in long-term memory, and is less able to use higher-order thinking skills (Sheikh, 2020). The classroom environment is not a backdrop to learning. It is a variable that shapes what learning is physiologically possible.

The neuroplasticity research woven through brain-based learning provides perhaps the most hopeful and most demanding finding of all. Educational neuroscience is grounded in the concept of neuroplasticity — the brain’s ability to reorganize and adapt based on learning and experiences — supporting individualized learning strategies that respond to the varying needs of students (Jensen & McConchie, 2020). The brain is not fixed at birth. It changes in response to what it encounters and how it encounters it. Learning physically reshapes the neural architecture of cognition — but only when the conditions are right. Novelty, challenge, feedback, movement, and positive social connection all accelerate that reshaping. Passive exposure, rote repetition, and chronic stress inhibit it. This means that the design of the learning environment is itself a form of instruction — and that every choice about how a learner spends their time in school either supports or limits the brain’s capacity to grow.

What emerges from these three bodies of research is not three separate frameworks. It is one coherent picture. Learners move through predictable stages of skill development that require different kinds of instruction. Conceptual understanding and procedural competence develop together and depend on each other. Knowledge that is built with meaning, emotion, and application is more durable and more transferable than knowledge received passively. And the brain’s capacity to learn is shaped — for better or for worse — by the relational, emotional, and physical conditions that surround the learning. At Wayfinders, our approach is built on all of it. We do not choose between understanding and fluency. We do not separate knowledge from the conditions under which it can be acquired. We design for the brain — not the brain in theory, but the actual, specific, emotional, social, embodied brain that each learner brings through the door every day.