Learning and Academics Analytics

Felipe Cueto

Olga Mariño

Collaboration with Ruben Manrique and Bernardo Pereira Nunes from Australian National University
Collaboration with Gloria Fernández

By combining Machine Learning Techniques with Semantic Web Techniques, this project aims to help advance the frontier both on Academic Analytics (intelligent analysis of data related to students of an institution or academic program) and on Learning Analytics (intelligent analysis of data related to students through a learning experience, be it an activity or a course).

Publications

AN ANALYSIS OF STUDENT REPRESENTATION, REPRESENTATIVE FEATURES AND CLASSIFICATION ALGORITHMS TO PREDICT DEGREE DROPOUT

R. MANRIQUE, B. PEREIRA,O. MARIÑO, M. CASANOVA, T. NURMIKKO-FULLER

9TH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS AND KNOWLEDGE, 2019

VISUALIZATION IMPROVEMENT IN LEARNING ANALYTICS USING SEMANTIC ENRICHMENT

G. FERNÁNDEZ, O. MARIÑO

DISCOVERING INTERESTING PATTERNS IN AN E-LEARNING SYSTEM, 2016