A Network Analysis on Self-Regulated Learning Behaviors in STEM Learning

• In Event: Analytics For Learning

Short Description

This work examined the temporal dynamics of self-regulated learning (SRL) behaviors as 101 students designed green buildings in Energy3D, a simulation-based computer-aided design environment. We conducted a multivariate analysis using vector auto-regression model to investigate to what extent that two SRL behaviors interact with each other, and a network analysis to explore whether the two behaviors stimulate or inhibit one another.

Authors

• Contributor: Hanxiang Du, University of Florida

• Contributor: Shan Li, McGill University

• Presenter: Wanli Xing, University of Florida

• Contributor: Juan Zheng, McGill University

• Contributor: Guanhua Chen, The Concord Consortium

• Contributor: Charles Xie, Chief Scientist, Institute for Future Intelligence