Applied Network Analysis in Learning

1 Course Unit

This course provides an introduction to network perspectives of learning and network analysis of learning processes. Throughout the course, students will be introduced to network theories of learning as well as theories of social, cognitive, semantic, and multidimensional networks. Students will engage in hands-on activities, plan a network analysis project, and apply network analysis techniques to learning contexts of interest to them. Prerequisite: Basic programming skills in R/Python are required. Prior knowledge in learning theories, statistics, and data structure is recommended but not required. Fall or Spring 1 Course Unit