Disadvantaged students increase their academic performance through collective intelligence exposure in emergency remote learning due to COVID-19
Image credit: CRiSS-LABResumen
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
Associate Professor and Head of CRiSS-LAB, School of Engineering and School of Government, Universidad del Desarrollo, Chile.
My research interests include collective behavior, collective and artificial intelligence, network science, and business analytics.
