Social Network Analysis (SNA) Applications in Evaluating MPA Classes

Abstract

This paper examines how social network analysis (SNA) methods and tools can be used to evaluate instruction and teaching methods in an MPA program. With a unique way of collecting and analyzing data—both statistically and visually— SNA tools enable public affairs educators to (a) identify patterns of interaction among students, (b) identify characteristics of student friendships and advice networks, (c) design teaching methods and interventions to facilitate student interaction, and (d) develop students’ interpersonal skills so they can learn in collaborative environments. The case study in this paper provides an example of how SNA was used to evaluate changes in student interactions and collaborative learning during an MPA class at the University of Central Florida (UCF).