Program health
liveLoading…
Mastery & confidence trend
Weekly cohort averages
At-risk students
liveLoading…
Flagged students
| Student | Course | RiskHow risk levels are calculated 7-signal model: mastery deficit +2 · overconfidence gap +2 · low completion +1 · rewatch spike +1 · answer-latency anomalies +1 · frequent AI questions +1. High ≥ 4 · Medium 2–3 · On track 0–1 — same model as the Faculty Dashboard. |
Score | Signals | Avg masteryHow mastery is calculated Rule-based score, not AI-generated: each quiz and exam answer is weighted by recency — an answer 90 days old counts half as much as today's. Score = Σ (score × recency weight) / Σ (recency weight). |
Faculty intervention |
|---|---|---|---|---|---|---|
| Loading… | ||||||
Flagged by course
Loading…
Interventions by course
Logged by faculty · all students, including students not currently flagged
Loading…
Courses & content
liveCourse health
One row per program course
| Course | Faculty | Enrolled | Avg masteryHow mastery is calculated Rule-based score, not AI-generated: each quiz and exam answer is weighted by recency — an answer 90 days old counts half as much as today's. Score = Σ (score × recency weight) / Σ (recency weight). |
Avg confidence | Completion | Time to answer | AI questions | Exam avg | StatusCourse status definitions Good — course avg mastery ≥ 0.70. Watch — 0.55–0.69. Flag — below 0.55. Course avg mastery = decay-weighted mean over the cohort's answered statements for the course. |
|---|---|---|---|---|---|---|---|---|---|
| Loading… | |||||||||
Outcome mastery by course How mastery is calculated
Rule-based score, not AI-generated: each quiz and exam answer is weighted by recency — an answer 90 days old counts half as much as today's.
Score = Σ (score × recency weight) / Σ (recency weight).
Cohort average per learning outcome
Loading…
Videos needing review
Content the cohort is collectively struggling with
Loading…
Which videos need review?
A video is flagged when any threshold is crossed in the last 14 days: ≥ 5 students each rewatched it ≥ 3× · ≥ 10 unresolved "Confused here" marks · ≥ 15 AI Tutor questions on its chapters.
High counts suggest the content itself — not individual students — is the bottleneck.
Top AI tutor topics
Most-asked across the program
| Topic | Qs | Students | Unsat.Unsatisfied AI answers Count of 👎 "not helpful" ratings students gave AI-tutor answers on this topic ( rated statements with helpful=false, tied to the originating question). High counts mean the AI is fielding questions the content should be answering. |
|---|---|---|---|
| Loading… | |||
Exams
liveLoading…