confidence-calibration-check

What problem does it solve?

Many learners feel confident because material feels familiar, even when they cannot accurately recall or apply it, leading to ineffective study choices.

Core Features & Use Cases

• Before/After Confidence Capture: Records a 0–100 confidence rating prior to a learning attempt and repeats it after feedback.
• Performance Evaluation and Pattern Naming: Compares confidence to observed accuracy and explicitly labels overconfidence, underconfidence, well-calibration, or large confidence drop.
• Metacognitive Micro-Goal: Turns the calibration gap into one concrete next action to improve future learning decisions.

Use when a student is practicing explanations, solving problems, or reviewing knowledge and you want them to develop accurate self-monitoring rather than relying on feelings of familiarity.

Quick Start

Ask the learner for a 0–100 confidence estimate before they attempt the topic or question, then have them attempt it and ask for an updated confidence rating after you review how accurate their attempt was.