Springer - Serious Games Analytics Research Volume

Serious Games Analytics explores how gameplay data can be converted into actionable intelligence for performance measurement and assessment. This volume from the Advances in Game-Based Learning series provides deep research into turning raw data into valuable insights for improvement. Researchers and professionals can explore various empirical methodologies used to study serious games. The contributors utilize existing, experimental, and emerging conceptual frameworks to bridge the gap between gameplay and learning outcomes. By examining how games are built using sound learning theories and instructional design principles, this book helps maximize learning potential through data. This collection integrates diverse fields to provide a comprehensive look at the subject. Topics covered include computer science, software engineering, educational data mining, statistics, and information visualization. It serves as a technical resource for those studying how to measure and improve performance within emerging game-based learning environments.