Weekly triage

Students are ordered by risk score. Select one to see their full picture.

How risk levels are calculated
SignalWtTrigger
Mastery deficit2More than 8% below the cohort average
Overconfident answers2Wrong despite high confidence, 2+ questions
Very fast answers2Response time under 30% of the class median
Low video completion1Completion below 60%
High rewatch1Same segment rewatched 5+ times
Slow answers1Response time above 2× the class median
Score = sum of triggered weights · high ≥ 4 · medium 2–3 · on track 0–1. Adjustable in the Threshold Configurator.

Class roster

Click a row to open the student in Weekly triage · click a column to sort

Student Completion Quiz accuracy Mastery Avg latency Exam avg
How mastery is calculated
Covers all quiz answers from videos in this course. Each answer is weighted by how recent it is — an answer from 90 days ago counts half as much as today's.
Score = Σ (quiz score × recency weight) / Σ (recency weight) · recency weight = 0.5 ^ (days since answered / 90)

Content intelligence

Mastery distribution ⓘ

Where the cohort sits against the mastery benchmark

Exam overview

Pass-rate threshold 75% — adjustable in the Threshold Configurator

ExamStudentsCohort avgMinMaxPass rate

Confidence gap

Calibration across the cohort

AI tutor confusion topics

Most-asked topics this week

Video drill-down

Question-level item analysis, worst accuracy first

Select a video above to view question-level analytics.

Interventions

All students · all time

Each entry stores a snapshot of the student's signals at the time it was logged.

Threshold Configurator

Faculty — Preset Access

Adjust when students are flagged for your attention and how mastery scores are color-coded. Changes are saved to your browser and apply immediately. All values use 0–1 for proportions (e.g. 0.75 = 75%) and whole numbers for counts.

Risk Alert Settings

These signals determine which students appear as Medium or High Risk on the Weekly Triage tab.

Mastery gap — flag students who score more than this far below the class average avg_mastery < avg_cohort_mastery − [value]
default 0.08
Video completion — flag students who completed less than this proportion of assigned videos completion < [value]
default 0.60
Overconfidence — flag students who answered incorrectly despite high confidence this many or more times wrong_but_confident ≥ [value]
default 2
Rewatch — flag students who replayed the same video this many or more times rewatch_count ≥ [value]
default 5
Unusually fast responses — flag if avg response time drops below this multiple of the class average (may signal AI-assisted answers) avg_latency < avg_cohort_latency × [value]
default 0.3×
Unusually slow responses — flag if avg response time exceeds this multiple of the class average (may signal test anxiety) avg_latency > avg_cohort_latency × [value]
default 2.0×
AI tutor use — flag students who asked the AI tutor this many or more questions ai_questions ≥ [value]
default 6
Exam Pass Rate

The minimum score a student must reach to be counted as passing an exam. Shown in the Exam Overview of Content Intelligence.

Pass rate — students at or above this score are considered passing
default 0.75
Score Color Thresholds

Controls the color bands applied to all percentage scores in the dashboard — Mastery, Quiz Accuracy, Exam Average, and Completion.

Green — score is at or above this value
default 0.75
Yellow — score is below the green threshold but at or above this value
default 0.55
Confidence Classification (uses mock data in prototype)

Determines when a student is labeled as overconfident or underconfident in the Student Drawer. Confidence is rated 1–4 after each question.

Overconfident —confidence rating at or above (1–4 scale) confidence_score ≥ [value]
default 3
Overconfident —and accuracy below accuracy < [value]
default 0.60
Underconfident —confidence rating at or below (1–4 scale) confidence_score < [value]
default 2
Underconfident —and accuracy at or above accuracy ≥ [value]
default 0.70
Response Speed Indicators

Controls the ↑ and ↓ arrows shown in the Student Drawer. Compares each student's avg response time to the class average.

↑ Show slow arrow when student's response time is longer than the class average by this multiple avg_tta / avg_cohort_tta > [value]
default 1.5×
↓ Show fast arrow when student's response time is shorter than the class average by this multiple avg_tta / avg_cohort_tta < [value]
default 0.5×
⚠ Prototype: saved to localStorage.

Log Intervention —

At time of logging
What was done *

⚠ Prototype: stored in browser localStorage.

Student Detail

Week: