Network positions in active learning environments in physics
Adrienne L. Traxler, Tyme Suda, Eric Brewe, Kelley Commeford
Abstract
Social network analysis on students in different active-learning introductory physics courses shows that in all courses there is a late-term tendency of students to form coherent subgroups that communicate actively among themselves but have few interposition links.
Topics & Concepts
Mathematics educationActive learning (machine learning)Term (time)PsychologyPhysicsComputer scienceArtificial intelligenceAstronomyComplex Network Analysis TechniquesInnovative Teaching and Learning MethodsOpinion Dynamics and Social Influence