Disadvantaged students increase their academic performance through collective intelligence exposure in emergency remote learning due to COVID-19
Figure from the articleAbstract
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.
Type
Publication
arXiv
Cristian Candia
Associate Professor, Data Science Institute, School of Engineering, Universidad del Desarrollo, Chile. Director of CRiSS-LAB.
Cristian Candia is a computational social scientist studying human and collective behavior with large-scale data, network science, experiments, and AI.
