Tipo de publicación: journal-article

Improving the portability of predicting students’ performance models by using ontologies

Subgroup discovery in MOOCs: a big data application for describing different types of learners

Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources

Early Prediction of Student Learning Performance Through Data Mining: A Systematic Review

Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses

Educational data mining and learning analytics: An updated survey

Process mining for self-regulated learning assessment in e-learning

Towards Portability of Models for Predicting Students’ Final Performance in University Courses Starting from Moodle Logs

Text mining in education

Guest Editorial: Special Issue on Early Prediction and Supporting of Learning Performance