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

CRISTOBAL ROMERO MORALES2026-01-292026-01-29202110.1007/s12528-021-09298-82-s2.0-85118119545https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/34103Computer Science (all)EducationImproving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sourcesresearch article