Category: Blog
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MindOS Learning Manual: Argument-Mapping State | A Good Argument Can Disappear When Its Reasons and Objections Stay Buried in Paragraphs
Argument Mapping State turns an argument into a visible network of claims, reasons, objections and replies so the learner can inspect whether each branch actually supports or attacks what it appears to. The map is temporary: the final test is whether the learner can reconstruct and evaluate the reasoning without it.
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MindOS Learning Manual: Evaluative-Judgement State | Seeing a Strong Example Is Not the Same as Knowing Why It Is Strong
A learner can recognise that one piece of work looks better than another and still be unable to explain the quality difference or improve their own work. Evaluative-Judgement State trains the operation of using criteria and exemplars to make, justify and transfer quality judgements independently.
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MindOS Learning Manual: Method-of-Loci State | A Memory Palace Helps Recall Only If You Can Walk the Route Without the Palace Building You
The method of loci can substantially improve ordered recall by binding information to stable spatial cues. This MindOS manual explains when a memory palace is the right learner operation, when it becomes unnecessary machinery, and how to test whether the knowledge survives delayed, changed and independent retrieval.
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MindOS Learning Manual: Source-Monitoring State | You Can Remember the Fact and Forget Where It Came From
A learner can remember a claim accurately and still misremember whether it came from a teacher, textbook, peer, website, AI tool or their own inference. Source-Monitoring State teaches how to bind content to provenance, discriminate source memory from content memory, and preserve independent verification when the source matters.
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MindOS Learning Manual: Temporal-Contiguity State | The Right Explanation at the Wrong Time Can Still Be Hard to Learn
A diagram and its explanation can both be correct yet fail to become one usable model when they arrive too far apart in time. Temporal-Contiguity State explains how to detect timing-driven integration failure, align corresponding information, and fade the support until the learner can reconstruct the system independently.
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MindOS Learning Manual: Feedback-Timing State | Faster Feedback Is Not Always Better Feedback
When should a learner see the correction: immediately, after finishing the item, or after a delay? Feedback-Timing State separates timing from feedback quality and uses task, error risk and independent retrieval to decide when correction should arrive.
