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. Head of CRiSS-LAB.
Cristian Candia studies how societies transform information into collective relevance through attention, memory, preferences, and coordination. His work combines computational social science, network science, AI, and large-scale behavioral data to understand how groups, institutions, and societies decide what matters.
