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Learning Analytics

Rafael Ferreira André Câmara Péricles Miranda Vitor Rolim Anderson Cavalvanti Máverick André Elaine Marques Marcelo Amorim Arthur Diego

Data analytics to understand learners

As defined by the Society of Learning Analytics and Research, Learning Analytics (LA) is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs.

This project applies state-of-the-art machine learning methods to extract LA from online and physical educational environments. Furthermore, AiBox Lab is also supporting higher education institution in the adoption of LA tool in practise.

Relevant publications:

ROLIM, VITOR ; Ferreira, Rafael ; LINS, RAFAEL DUEIRE ; G'SEVI', DRAGAN . A network-based analytic approach to uncovering the relationship between social and cognitive presences in communities of inquiry. Internet and Higher Education, v. 1, p. 1, 2019.

PASSERO, G. ; Rafael Ferreira ; DAZZI, R. L. S. . Off-Topic Essay Detection: A comparative study on the Portuguese language. Revista Brasileira de Informática na Educação (RBIE), v. 27, p. 177-190, 2019.

FERREIRA'MELLO, RAFAEL; ANDRÉ, MÁVERICK ; PINHEIRO, ANDERSON ; Costa, Evandro ; ROMERO, CRISTOBAL . Text mining in education. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery, v. 9, p. 1-49, 2019.