Fueling Prediction of Player Decisions: Foundations of Feature Engineering for Optimized Behavior Modeling in Serious Games

Volume: 25, Issue: 2, Pages: 225 - 250
Published: Nov 22, 2018
Abstract
As a digital learning medium, serious games can be powerful, immersive educational vehicles and provide large data streams for understanding player behavior. Educational data mining and learning analytics can effectively leverage big data in this context to heighten insight into student trajectories and behavior profiles. In application of these methods, distilling event-stream data down to a set of salient features for analysis (i.e. feature...
Paper Details
Title
Fueling Prediction of Player Decisions: Foundations of Feature Engineering for Optimized Behavior Modeling in Serious Games
Published Date
Nov 22, 2018
Volume
25
Issue
2
Pages
225 - 250
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