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Cognitive Assessment through Latency Evaluation

Learn Smarter with CALE

AI-powered adaptive tutor that classifies your errors using difficulty-adjusted response time analysis, and uses spaced review to accelerate mastery.

Research-grounded — CALE Adaptive Learning System
Difficulty-Adjusted Error Classification Asymmetric Scoring Spaced Review Learning Velocity 15 Adaptive Lessons 3 Domains

Cognitive Assessment through Latency Evaluation

CALE classifies your errors by type, not just right/wrong. The system measures how long you take to answer each question and combines that with the question's difficulty level to determine what kind of mistake you made.

The Formula

adjusted_time = response_time / difficulty_multiplier
Difficulty multipliers: Easy (1.0x) → Medium (1.6x) → Hard (2.5x)

Error Classifications
Careless Answered too fast (adjusted <3s). You probably knew this but rushed. Fix: Slow down and re-read the question.
Standard Reasonable time (3-15s adjusted). A normal error in the learning process. Fix: Review the specific concept.
Misconception Took 15-30s adjusted but still wrong. You have a flawed mental model. Fix: Re-study the examples and mechanisms.
Conceptual Took 30s+ adjusted and still wrong. The foundational concept is missing. Fix: Go back to basics on this topic.

Why this matters: A careless mistake needs a reminder, not a re-teach. A conceptual gap needs you to go back to basics. By classifying errors accurately, CALE provides the right intervention for each mistake — saving time and accelerating mastery.

Patent Notice: This approach is covered by our pending patent and differs from prior art (including US Patent 7,052,277) by incorporating question difficulty as a multi-factor classification variable. Prior systems classify errors by response time alone; CALE uses difficulty-adjusted response time, producing fundamentally different and more accurate error classifications.
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