Christian Sebastian Loh, Yanyan Sheng, Dirk Ifenthaler, "Serious Games Analytics: Methodologies for Performance Measurement, Assessment, and Improvement" 2015 | pages: 497 | ISBN: 3319058339 | PDF | 10,5 mb
Thisvolume brings together research onhow gameplay data in serious games may be turned into valuable analytics or actionable intelligencefor performance measurement, assessment, and improvement. Chapter authors useempirical research methodologies,includingexisting, experimental, and emerging conceptual frameworks,from various fields, such as: computer science software engineering educational data mining statistics information visualization. Serious games is an emerging field where the games arecreated using sound learning theories and instructional design principles to maximize learning and training success. But how would stakeholders know what play-learners have done in the game environment, and if the actions performance brings about learning? Could they be playing the game for fun, really learning with evidence of performance improvement, or simply gaming the system,i.e., finding loopholes to fake that they are making progress? This volume endeavors to answer these questions.
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