Learning Analytics

OctaAnalysis, a platform developed by CEDIS, supports the analysis, management, and continuous improvement of gamified learning and collaboration experiences.

Paper presented at IEEE ITHET 2024 in Paris receives Best Paper award.

CEDIS professors stand out in teaching innovation with an honorable mention, in the enhancement of Learning Indicators.

Book on Learning Indicators launched with the participation of CEDIS researchers.

Edmilson Cosme da Silva defended at UnB’s PPCA a dissertation applying machine learning to predict academic dropout in UnB’s on-campus undergraduate programs.

Amanda Emilly Muniz de Menezes and Letícia Karla Soares Rodrigues de Araújo defended at FCTE/UnB an undergraduate thesis identifying academic, demographic and learning factors …

Allan Jefrey Pereira Nobre defended at FCTE/UnB an undergraduate thesis applying Learning Analytics and Educational Data Mining to support pedagogical decisions in Team-Based …

Paper accepted at the XXXVII Brazilian Symposium on Computers in Education (SBIE 2026, submission #27258), presenting a semester-start diagnostic instrument for personalized and …

Conference by Éber Júnio Borges Moreira, Sergio Antônio Andrade de Freitas (2026).

2025-2026 PIBIC project focused on creating a predictive framework for student engagement and performance in gamified learning environments by combining Octalysis, neuroscientific …

Conference by Éber Júnio Borges Moreira, Sergio Antônio Andrade Freitas (2024).

Conference by Sergio Antônio Andrade Freitas, Cristiane S. Ramos, Eduardo Bessa Pereira da Silva, Marcia Renata Mortari, Dianne Magalhaes Viana (2024).