What reaches working memory?
Selective processing.
Unattended information is unlikely to be encoded deeply.
Side 46
A study of how durable learning is built. Learning science connects attention, memory, retrieval, feedback, transfer and expertise to the design of practice.
Information can feel familiar without becoming independently recallable or usable.
Selective processing.
Unattended information is unlikely to be encoded deeply.
Meaning + prior knowledge.
Elaboration builds retrieval routes by linking new material to existing structures.
Stabilize over time.
Memory becomes more durable through repeated activation and time-dependent consolidation.
Without the answer present?
Retrieval itself strengthens later access.
Apply beyond recognition.
Learning becomes valuable when it supports new problems and decisions.
Trying to retrieve an answer strengthens memory more than simply rereading it, especially when feedback follows.
Harder retrieval often reveals whether knowledge is genuinely available.
Useful when the target skill itself depends on contextual cues.
Trying to generate an answer can improve later learning even when the first attempt fails.
Practice without correction can stabilize errors as well as correct knowledge.
Desirable difficulty challenges retrieval while remaining solvable enough to produce learning.
Recognition and familiarity often overstate future recall.
Spacing introduces enough delay that retrieval must be reconstructed rather than merely repeated from short-term memory.
Repeated sessions separated by delay tend to produce more durable retention than massed practice.
Interleaving forces learners to identify which strategy applies rather than repeating one routine.
Variable practice can help separate underlying structure from superficial cues.
If repetitions are too close, performance can improve without durable learning.
Long-term retention requires renewed retrieval after the material begins to fade.
Instruction becomes difficult when the learner must process too many unfamiliar elements at once.
Can be managed by sequencing prerequisite knowledge and breaking tasks into meaningful components.
Unnecessary split attention, clutter and irrelevant detail consume cognitive resources.
Experts can treat familiar configurations as one chunk where novices see many separate elements.
Examples can reduce unproductive search during early learning.
Scaffolds should decline as internal competence grows.
Words, diagrams and demonstrations should complement rather than duplicate or compete unnecessarily.
The best feedback identifies the gap, points toward correction and leaves the learner responsible for performing the improved action.
| Feedback | Question answered | Strength | Risk |
|---|---|---|---|
| Outcome | Was it right? | Fast signal | May not explain why |
| Corrective | What should change? | Targets error | Can become answer-giving |
| Process | Which strategy produced this? | Improves method | Can overload novices |
| Comparative | How does this differ from a model? | Reveals gap | May encourage imitation without understanding |
| Delayed | Can correction wait until retrieval? | Preserves independent attempt | Delay can allow confusion if too long |
Knowing a solution in one context does not guarantee recognizing the same underlying structure elsewhere.
Apply knowledge to a problem that looks similar to practice.
Recognize a deep principle despite major surface differences.
Compare cases so the feature that determines strategy becomes visible.
Explain why a method works rather than only reproducing its steps.
Extensive domain knowledge supports faster pattern recognition, but expertise remains domain-specific.
Combine efficient routine with the ability to modify methods when conditions change.