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Learning Science

Learning Science

Grounded in the science of learning: attention, active retrieval, feedback, spacing, reinforcement, and transfer.

Learning is a process, not an event

Learning is not simply the result of seeing or hearing information.

It develops through attention, active thinking, retrieval, practice, feedback, reinforcement, connections to prior knowledge, and opportunities to apply what has been learned.

IUME/Learn draws on established research across cognitive science, educational psychology, instructional design, and neuroscience to inform how digital learning experiences can better support this process.

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The objective is not simply to help learners consume more information. It is to help them do more with what they learn.

Principles that inform our approach

Five ideas shape how learning experiences are designed.

01

Focused Attention

Attention is limited. Well-designed learning experiences help learners concentrate on what matters while reducing unnecessary cognitive demands.

02

Active Retrieval & Practice

Recalling, explaining, solving, and applying knowledge can strengthen learning more effectively than passive review alone.

03

Feedback

Timely feedback helps learners identify misconceptions, adjust their understanding, and continue progressing.

04

Spacing & Reinforcement

Important ideas become more durable when they are revisited over time rather than encountered only once.

05

Application & Transfer

Understanding deepens when learners use knowledge in new questions, problems, and contexts.

Attention and cognitive load

Learners have limited capacity for processing unfamiliar information at one time.

Learning experiences should help focus limited cognitive resources on what matters. That means reducing unnecessary demands—confusing interfaces, competing information, unclear objectives—so more of a learner’s attention can go toward thinking about the concept itself.

Well-designed experiences are approachable enough to invite participation, focused enough to sustain attention, and purposeful enough to move the learner toward a meaningful objective.

Active learning

Learning becomes stronger when learners have to think.

Exposure alone is often not enough. Students learn more when they actively think about and work with ideas: recalling an idea, answering a question, explaining a concept, making a connection, solving a problem, evaluating an example, or applying knowledge in a new context.

These moments do not always need to be large assignments or high-stakes assessments. Frequent, low-pressure opportunities to think can become an important part of the learning process.

Retrieval practice

Bringing knowledge back to mind can strengthen long-term learning.

A concept understood today can be difficult to recall weeks later if it is never revisited. Retrieval—rather than rereading or reviewing—is one of the most reliable ways to make knowledge durable and accessible when it is needed again.

Digital learning environments are particularly well suited to supporting this continuity, bringing concepts back after time has passed and in new contexts.

Low-stakes practice and feedback

Not every attempt to answer a question should feel like a test.

Learning requires room to try, make mistakes, receive feedback, and try again. Useful feedback helps learners recognize gaps and adjust their understanding before a formal assessment takes place.

Mistakes in this context are not simply outcomes to record. They can become information that helps guide what happens next.

Spacing and interleaving

Important knowledge should return.

Learn → Complete → Move On
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One of the challenges of traditional instructional sequences is that learning often moves relentlessly forward. A concept is taught. Students practice it. The class moves to the next topic. But memory does not follow the curriculum calendar.

Learners benefit from encountering concepts again, retrieving them after time has passed, connecting them to new material, and applying them in different contexts.

Instead of treating learning as a sequence of completed content, technology can help create an ongoing relationship between the learner and the ideas that matter.

Metacognition

Students are not always accurate judges of their own understanding.

Material can feel familiar after rereading or reviewing notes even when it cannot yet be recalled independently or used in a new problem. Frequent retrieval and application can help expose that difference.

Instead of asking “Have I seen this before?”, learners can begin asking:

  • Can I explain it?
  • Can I retrieve it?
  • Can I use it?

Application and transfer

Learning becomes more valuable when knowledge travels.

Understanding deepens when learners use knowledge in new questions, problems, and contexts—beyond the situation in which they first encountered it.

Learning experiences can be connected to broader competencies, learning objectives, expected outcomes, and curriculum structures so that individual moments of learning contribute to something larger.

Small does not have to mean superficial. A focused experience can address one concept, question, misconception, or skill while remaining part of a coherent learning journey.

See how these principles come together.