Predicting academic performance of university students from multi-sources data in blended learning

CRISTOBAL ROMERO MORALES2026-01-292026-01-29201910.1145/3368691.33686942-s2.0-85077127924https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/31174Computer Networks and CommunicationsComputer Vision and Pattern RecognitionHuman-Computer InteractionSoftwarePredicting academic performance of university students from multi-sources data in blended learningconference paper