K-12 Education
Detect burnout in students and help them reconnect with learning through targeted interventions.
Journey (student-first flow)
json
Short check-ins (journal prompts, exit tickets, SEL pulses)
→ Burnout scoring (motivation, detachment, perceived efficacy)
→ Blocker extraction (overload, belonging gaps, safety flags)
→ Classroom adjustments (workload trims, pacing, pairing)
→ Guardian/teacher brief (opt-in)
→ Light follow-up pulse (1–2 per week)
Signals we watch
- Motivation slide: “why bother” tone, dropping curiosity.
- Overload: homework pile-up, test density, time scarcity.
- Belonging: social isolation, classroom friction.
- Safety: self-harm, bullying, harm to others → route per your policy.
Interventions we return
- Workload trims: reduce simultaneous deadlines; stagger tests.
- Pacing changes: more scaffolding reps before assessment.
- Pairing: peer buddy or small-group rotations to rebuild engagement.
- Adult follow-up: concise brief for counselor/teacher with trend.
Inputs that work best
- 30–80 words from prompts like: “What felt hard today?” “Where did you get stuck?”
- Avoid student names unless consented; we can operate on anonymous IDs.
Example request
json
curl -X POST https://api.stageonego.com/v1/detect \
-H "Authorization: Bearer $STAGEONEGO_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"text": "Too many quizzes this week. I stopped trying on the last one."
}'
Example response (trimmed)
json
{
"data": {
"burnout_intensity": {
"score": 0.44,
"risk_level": "yellow",
"trend": "rising"
},
"symptoms": ["motivation_dip", "academic_fatigue"],
"incoming_blockers": ["assessment_overload", "time_pressure"]
},
"meta": {
"request_id": "req_k12_123",
"timestamp": "2024-01-15T10:35:00Z"
}
}
Guardrails
- Decision support only; keep counselor/teacher in the loop.
- Redact identifiers by default; guardian notifications are opt-in.
- Keep prompts neutral; avoid leading language that suggests an answer.