Disadvantaged students increase their academic performance through collective intelligence exposure in emergency remote learning due to COVID-19
Figura del artículoResumen
This preprint analyzes 7,528 undergraduate students during emergency remote learning and studies how cooperative and consensus dynamics in online discussion forums relate to academic performance, with stronger benefits for students entering university with lower academic performance.
Tipo
Publicación
arXiv
Cristian Candia
Profesor Asociado, Instituto de Data Science, Facultad de Ingeniería, Universidad del Desarrollo, Chile. Director de CRiSS-LAB.
Cristian Candia es científico social computacional y estudia el comportamiento humano y colectivo usando datos a gran escala, ciencia de redes, experimentos e inteligencia artificial.
