← Back to Dashboard
Confidence Insights
How the confidence scoring system has been behaving across your students over the last 30 days
Access Denied
Teachers only.
What is this page?
Every time one of your students answers a question, the system updates their confidence score for each grammar tag attached to that question. This page rolls up that activity so you can see at a glance that the system is healthy, how much your students are practising, and which individual answers caused unusually large score swings (worth a quick look to spot lucky guesses, confusing questions, or genuine breakthroughs).
Every time one of your students answers a question, the system updates their confidence score for each grammar tag attached to that question. This page rolls up that activity so you can see at a glance that the system is healthy, how much your students are practising, and which individual answers caused unusually large score swings (worth a quick look to spot lucky guesses, confusing questions, or genuine breakthroughs).
Checking…
Notable recent updates
Answers that moved a student's score much more than usual. A large jump on a correct answer usually means the student got something they weren't expected to — worth celebrating, or checking for guessing. A large drop on a wrong answer means they missed something they should have known.
| When | Student | Grammar tag | What happened | Source |
|---|
What am I looking at?
Every time a student answers a question, the system runs a Bayesian-Elo update that nudges their confidence for the tagged grammar point. The numbers below are rolled up daily so you can spot anomalies — e.g. a day with unusually large updates, or a jump in profile-save failures. Anomaly thresholds:
Every time a student answers a question, the system runs a Bayesian-Elo update that nudges their confidence for the tagged grammar point. The numbers below are rolled up daily so you can spot anomalies — e.g. a day with unusually large updates, or a jump in profile-save failures. Anomaly thresholds:
delta > 1.5, |difficulty| > 3, evidence > 1000.
If Anomalies stays near zero and Avg surprise drifts below 0.5,
the system is learning as intended.
Daily rollups
| Date | Source | Updates | Avg surprise | Max δ | Max α+β | Anomalies | Save fail | Diff fail |
|---|
Top outliers (largest Δ)
| When | Student | Tag | Δ | Direction | Source | α / β |
|---|
Loading insights…