Studeia lets you track competency mastery — including the BNCC — from real assessments. Importantly, the path is honest and auditable, via manual tagging, not automatic AI classification.
Quick answer
- Competency tracking via manual tagging by the coordinator
- The coordinator registers competencies (with BNCC codes) and links them to assessments
- The platform aggregates mastery per competency from real grades
- The AI doesn't classify content against the BNCC on its own (honesty, product rule)
- Works for the BNCC or any custom framework
How it works
- Register competencies. The coordinator records the relevant competencies (BNCC codes or a custom framework).
- Link to assessments. Each grade item (question, exam, activity) is associated with one or more competencies.
- Aggregate mastery. The platform calculates the mastery percentage per competency (from performance on the linked items), per student and per class.
- Read the report. The coordination sees where the class is strong or weak in each competency.
Why manual tagging (and not AI)
| Manual tagging | Automatic AI classification |
|---|---|
| Intentional and correct | Error-prone |
| Auditable | Hard to audit |
| Reflects reality | Reflects a guess |
| Pedagogical control | Black box |
Classifying content against the BNCC automatically would be appealing in marketing but unreliable in practice. We prefer manual tagging — each link is a pedagogical decision, and the mastery report is trustworthy.
The mastery report
For each competency, the platform shows the mastery percentage based on real assessments — not estimates. This lets you:
- Identify gaps per competency in the class.
- Plan targeted reinforcement.
- Demonstrate coverage of the framework (BNCC or custom) with data.
Limitations (stated)
- The competency↔assessment link is manual (not automatic).
- Report quality depends on tagging quality.
- Studeia does not certify official BNCC compliance — it provides the tracking tool.
FAQ
Does it classify against the BNCC automatically? No — manual coordinator tagging.
How is the report? Mastery percentage per competency, from real grades.
Does it work for other frameworks? Yes — BNCC or any custom framework.
Why manual? Reliability and auditability; the AI doesn't classify on its own.
See the gradebook and the school-with-BNCC use case.