Toward a Classification of Types of Talk Around Video Games in a Classroom Setting

• In Event: 63.084 - Roundtable Session 22
  In Roundtable Session: 63.084-12 - Roundtable Session: The Many Facets of Video Game Communities, Design, and Discourses

Abstract

This research presents a broad classification system that attempts to distinguish between types of talk around an educational video game in a classroom, with the hope that a classification system can provide a qualitative foundation for subsequent triangulation of game-related classroom data with game telemetry data or test performance data. The presentation will introduce the classification system that was created based upon a pilot study on classroom discourse around the game Citizen Science. Based upon this, we will discuss how the classification system will provide a framework for detecting qualitative patterns in data, and how it can support triangulation of classroom interaction data with game telemetrics, thus contributing to bridging the gap between in-depth qualitative techniques and big data techniques.

Authors

• Amanda Marie Barany, Games + Learning + Society

• Christian Schmieder, University of Wisconsin - Madison

• Kurt D. Squire, University of Wisconsin - Madison