Towards portability of models for predicting students' final performance in university courses starting from moodle logs

JUAN ALFONSO LARA TORRALBOCRISTOBAL ROMERO MORALES2026-01-292026-01-29202010.3390/app100103542-s2.0-85079222752https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/31349Computer Science ApplicationsEngineering (all)Fluid Flow and Transfer ProcessesInstrumentationMaterials Science (all)Process Chemistry and TechnologyTowards portability of models for predicting students' final performance in university courses starting from moodle logsresearch article