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Session Type: Training Session
Participants will learn about considerations integral to the creation of videogames for measuring player learning, including the affordances of different game mechanics and design choices on gameplay data and how to derive meaningful indicators from gameplay data. We will use a variety of games to demonstrate how particular game mechanics impact the collection of gameplay data, the analyses that consequently can be performed with those data, and what they can reveal about player learning. This introductory session is for people interested in learning more about designing or using games for measurement purposes. It will not cover advanced statistical modeling or data mining.
The training session will have three parts. Part 1: Identifying Game Mechanics for Measurement will offer an overview of the relationship between game design and gameplay data. Part II: Extracting Meaningful Events and Indicators from Gameplay Data will offer hands-on experience with the critical analytical process involved identifying important events and deriving indicators. Part III: Examples of Indicators and Analyses of Gameplay Data will focus on basic data analysis approaches that can be used to make sense of gameplay data. Participants should bring a laptop, tablet, or smartphone to access games for the hands-on activities.