Share
Serious Games Analytics: Methodologies for Performance Measurement, Assessment, and Improvement
Loh, Christian Sebastian ; Sheng, Yanyan ; Ifenthaler, Dirk (Author)
·
Springer
· Hardcover
Serious Games Analytics: Methodologies for Performance Measurement, Assessment, and Improvement - Loh, Christian Sebastian ; Sheng, Yanyan ; Ifenthaler, Dirk
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Friday, June 14 and
Tuesday, July 02.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Serious Games Analytics: Methodologies for Performance Measurement, Assessment, and Improvement"
This volume brings together research on how gameplay data in serious games may be turned into valuable analytics or actionable intelligence for performance measurement, assessment, and improvement. Chapter authors use empirical research methodologies, including existing, 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 are created 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.