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

CRISTOBAL ROMERO MORALES2026-01-292026-01-29202110.1016/j.compeleceng.2020.1069082-s2.0-85096692624https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/32648Computer Science (all)Control and Systems EngineeringElectrical and Electronic EngineeringMulti-source and multimodal data fusion for predicting academic performance in blended learning university coursesresearch article