CEDIS Learning Analytics
The cross-cutting layer that gathers the signals of the whole ecosystem into a pseudonymised, k-anonymous warehouse to produce pedagogical indicators and insights. Ingest and API in production; teacher dashboards under construction.
Project Description
CEDIS Learning Analytics works behind the scenes of the ecosystem. While Slides , the Atlas do Conhecimento (Knowledge Atlas) and Concept Studio record what happens in each class, Learning Analytics gathers those signals into a single analytical store, pseudonymised at the source, so that indicators, correlations and recommendations can come out of them — data that turns into better pedagogical decisions.
It is the family’s cross-cutting layer: not the main tool of any teacher or student, but the one that makes the whole visible. It was born on 9 August 2026 out of a 25-chapter discovery audit of everything the ecosystem already recorded, which fixed the architecture and a phased roadmap.
Project Objectives
- build engagement and progress indicators from evidence rather than intuition;
- detect difficulties and advances early and return personalised recommendations to the student, in the Atlas and along their own paths;
- correlate activities, concepts and performance to support teachers and academic management;
- do all of it with privacy by design: a dedicated analytical identity, specific and revocable consent, k-anonymity in every aggregate.
Resources and Features
Ingest. A dedicated service consumes operational events — readings and answers in Slides, concept touches and progress in the Atlas, questionnaire responses — and materialises them in a separate analytical warehouse, with no impact on the source services.
Analytical API. Exposes aggregate views (weekly and monthly summaries, cohorts) always under K-anonymity of 5 or more, and individual profiles only to authorised services, through a pre-shared token.
Analytical identity and consent. The student accepts a specific consent for analytics in the Learning Passport ; revoking it propagates deletion all the way to the warehouse within one ingest cycle. The analytical identity is derived in layers and never coincides with the identity of any other service.
Current state, plainly. Ingest, the API and the deletion cascade are in production at analytics.cedis.tec.br. The teacher interface — the dashboards the infographic promises — is under construction. That is why the product appears here as beta: the data foundation exists and works; the visualisation layer does not yet.
Academic Link and Support
- CEDIS (institutional development and maintenance)
- Prof. Sergio Freitas (coordination)
- CEDIS Ecosystem (origin project)
- Final-year project (2026–2027) by Daniel Rodrigues da Rocha and Davi Rodrigues da Rocha, advised by Prof. Sergio Freitas
Access
Service at analytics.cedis.tec.br, authenticated access. Open source, MIT licence, in the monorepo github.com/cedis-unb/CEDIS-Deck-Manager.
Latest news about this product
CEDIS presents the CEDIS Ecosystem: six products, one journey from content to insight
Deck Manager, Slides, Concept Studio, Atlas do Conhecimento, Learning Passport and Learning Analytics now form an integrated family, with its own visual identity and privacy by design, to turn content into learning experiences.
CEDIS Learning Analytics: the whole ecosystem's data becomes pedagogical evidence — with privacy by design
The cross-cutting layer of the CEDIS Ecosystem gathers the signals from Slides, Atlas and Concept Studio into a pseudonymised, k-anonymous warehouse. Ingest and API are in production; the teacher dashboards are under construction.
CEDIS Learning Passport: a learner identity with no e-mail, no national ID, and under the student's control
Created from a twelve-word phrase, the Passport records a student's journey across the whole CEDIS Ecosystem without storing any personal data — and leaves the decision to share or erase with them.
Atlas do Conhecimento: the student sees their own journey, with no ranking and without revealing who they are
Map, routes, stamps, diary, concept constellation and motivational compass: the personal, pseudonymous space where each student follows their learning journey in the CEDIS Ecosystem.
CEDIS Concept Studio: concept maps, AI with human review, and questionnaires inside the class
The teacher's semantic studio organises a course's concepts into versioned maps, accepts AI suggestions only with human confirmation, and turns the map into practice questionnaires that reach students through Slides.