Struggling with a Topic? Our AI Adjusts the Difficulty for You

Personalised Education That Actually Listens

No two students learn at the same pace. That's why we built the Adaptive Learning Engine. Every time you submit a quiz, our system scores you across five dimensions — accuracy (50%), calibration (20%), concept mastery (15%), effort quality (10%), and retention (5%) — and produces a single mastery score between 0 and 1.

A Three-Way Decision (Not a Hard 80% Gate)

Score 0.75 or above and the topic is mastered — earn a trophy, move on. Score 0.5 to 0.74 and you enter remediation: a targeted study guide, then up to two retry attempts. Score below 0.5 and we identify the misconception, generate a personalised lesson, and run a 3-question retest to unblock you.

Choose Your Threshold

Pick Explorer (relaxed, 0.65), Standard (0.75), or Challenger (strict, 0.85) in your Mastery Settings. The whole platform adapts: difficulty, threshold, and remediation depth. We don't just tell you what you got wrong — we rewrite the curriculum to help you get it right.

FAQ

How does the Qwizflow Adaptive Learning Engine score mastery?

Every quiz submission is scored across five weighted dimensions — accuracy (50%), calibration (20%), concept mastery (15%), effort quality (10%) and retention (5%) — producing a single mastery score between 0 and 1.

What happens if a student scores below the mastery threshold?

A score of 0.5 to 0.74 triggers remediation — a targeted study guide plus up to two retry attempts. Below 0.5, the engine identifies the misconception, generates a personalised lesson, and runs a 3-question retest to unblock the topic.

Can students choose how strict the mastery threshold is?

Yes — pick Explorer (relaxed, 0.65), Standard (0.75) or Challenger (strict, 0.85) in Mastery Settings, and the whole platform adapts its difficulty, threshold and remediation depth.

Is there a hard 80% pass gate in Qwizflow?

No — mastery is a three-way decision, not a hard gate: 0.75 or above passes, 0.5 to 0.74 goes to remediation with retries, and below 0.5 leads to a personalised misconception lesson.