Cognitive Scaffold

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MENTAL MODEL · M6623

Focus-Evidence-Evaluate-Decide

Focus-Evidence-Evaluate-Decide
Learn & MetacognitionmediumCognitive Science
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Updated 2026-08-16

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INTRODUCTION

English translation pending.

CORE DEFINITION

The FEED model is a cyclic framework for metacognitive monitoring and regulation with four steps. Focus names the current learning goal or problem. Evidence gathers information about progress, ideally from testing rather than from a feeling of fluency. Evaluate compares that evidence against the goal. Decide determines whether to continue the current strategy or switch. The model's contribution is making the monitoring-to-regulation link explicit, so that the decision to change strategy rests on evidence rather than on a vague sense that studying is not working. It assumes the learner has a definable goal and access to some measurable progress signal.

SCAFFOLDING EFFECT

psychology

Reduce cognitive load

- Use goal statement: write the specific learning target before starting so progress has a reference point. - Use evidence sampling: collect progress data from tests or problems solved rather than from reading time. - Use switch decisions: after evaluating, commit explicitly to continuing or replacing the strategy.

anchor

Anchor fast decisions

Study strategies persist by default because nothing interrupts them, even when they are producing little learning. FEED inserts a scheduled interruption in which evidence is gathered and compared against a goal, which converts a vague sense of progress into a decision point. Because evidence comes from performance rather than fluency, it resists the illusion that rereading produces. Once a strategy is judged inadequate, the Decide step authorizes a change, and the loop repeats so the new strategy is itself evaluated.

MINIMUM ACTION

In progress 0/1

Practice this model in one real situation:

Check to track your progress (stored locally)
Learning progress0%
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Source support: Explicit

  • link
    en.wikipedia.orghttps://en.wikipedia.org/wiki/RetrospectiveZH · Explicit
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