Using Social Network Analysis on classroom video data

TL;DR

This paper introduces a new method applying Social Network Analysis to classroom video data to quantitatively and visually explore student collaborations, aiming to assess program engagement and community development.

Contribution

It presents a novel application of SNA to classroom videos, demonstrating its potential to analyze student interactions and support program assessment.

Findings

Identified unexpected student interaction groups

Highlighted individual contributions to group behavior

Showed feasibility of SNA on video data

Abstract

We propose a novel application of Social Network Analysis (SNA) using classroom video data as a means of quantitatively and visually exploring the collaborations between students. The context for our study was a summer program that works with first generation students and deaf/hard-of-hearing students to engage in authentic science practice and develop a supportive community. We applied SNA to data from one activity during the two-week program to test our approach and as a means to begin to assess whether the goals of the program are being met. We used SNA to identify groups that were interacting in unexpected ways and then to highlight how individuals were contributing to the overall group behavior. We plan to expand our new use of SNA to video data on a larger scale.