LuminaPath.ai
Frequently Asked Questions
Your questions answered. Click on a topic to reveal the details.
No. LuminaPath is an AI‑native teaching operating system that runs standalone. Many schools keep Canvas or Google Classroom during transition, but it’s optional. We import/export via CSV or API and connect to SSO/SIS.
Start with one or two subjects, enable grading and dashboards, meet as PLCs with forward‑looking insights, then expand gradually by grade or department.
Absolutely. Side‑by‑side operation with your current stack is common; data remains portable through CSV or API. This allows you to experiment without disruption.
Structured and unstructured responses including FRQ/DBQ/EE and handwritten work are supported via layout analysis, handwriting OCR and NLP correction, then rubric‑aligned scoring and evidence.
Teachers see detailed evidence and can adjust scores or override anytime; those choices feed back into the system to improve future suggestions. Human judgement remains central.
Routine tasks such as grading, error‑log creation and targeted practice are automated, reclaiming 6–10 hours per week of non‑teaching work and reducing administrative burden.
Our Plan‑Memory‑Predict architecture forecasts risk by student, skill and class. It recommends proactive actions that move PLCs from post‑mortems to prevention, enabling educators to act before issues arise.
K‑S‑M stands for Knowledge–Skill–Metacognition. This diagnosis layer links today’s gaps to tomorrow’s risks and interventions across cognitive, procedural and self‑regulation domains.
Yes—risk alerts and growth trajectories provide insight weeks before issues surface on tests, enabling timely adjustments and long‑term progress monitoring.
The Variable Plan adds multi‑dimensional causal diagnosis, objective growth logs and a collaboration hub with one‑click evidence‑based reports. These tools amplify and extend special‑education expertise rather than replacing it.
Our autonomous agent prepares pre‑reads, milestones and open questions, and activates institutional memory so best practices resurface for similar cases. Teams spend meetings discussing strategy instead of compiling paperwork.
Yes. We follow the school‑official model with minimum‑necessary data, encryption in transit and at rest, access controls, audit logging and deletion/return on request. We support common K‑12 Data Privacy Agreements with districts and do not advertise or sell student data.
Our hybrid design keeps sensitive data local via an on‑premises edge node, while anonymized signals power global model accuracy in the cloud. Configuration is flexible per district policy.
Our UI is designed with WCAG in mind. We provide transparency on rationale and make teacher override a first‑class control to preserve fairness.
Yes. We support common SSO and SIS connectors. The LMS is optional—you can start small and expand over time.
CSV/Parquet exports and evidence packets help PLCs and administrators share outcomes, perform research and generate board‑level reports with ease.
Pricing is annual per student with optional modules (e.g. Special Ed, AP/IB). Pilot terms are available with clear success metrics such as time saved, feedback latency and mastery gains.
We provide onboarding, admin and teacher training, office hours and a dedicated success manager. Additional professional development options are available.
We co‑create with faculties at Vanderbilt Peabody and Columbia Teachers College—translating research into prototypes, evaluation and production. Joint professional development and reproducible benchmarks are part of these partnerships.