Data Analytics Approaches in Educational Games and Gamification Systems (Hardcover, 1st ed. 2019)

Game-based learning environments and learning analytics are attracting increasing attention from researchers and educators, since they both can enhance learning outcomes. This book focuses on the application of data analytics approaches and research on human behaviour analysis in game-based learning environments, namely educational games and gamification systems, to provide smart learning. Specifically, it discusses the purposes, advantages and limitations of applying such approaches in these environments. Additionally, the various smart game-based learning environments presented help readers integrate learning analytics in their educational games and gamification systems to, for instance, assess and model students (e.g. their computational thinking) or enhance the learning process for better outcomes. Moreover, the book presents general guidelines on various aspects, such as collecting data for analysis, game-based learning environment design, system architecture and applied algorithms, which facilitate incorporating learning analytics into educational games and gamification systems. After a general introduction to help readers become familiar with the subject area, the individual chapters each discuss a different aim of applying data analytics approaches in educational games and gamification systems. Lastly, the conclusion provides a summary and presents general guidelines and frameworks to consider when designing smart game-based learning environments with learning analytics.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Smart Computing and Intelligence
Release date:	September 2019
First published:	2019
Editors:	Ahmed Tlili • Maiga Chang
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	255
Edition:	1st ed. 2019
ISBN-13:	978-981-3293-34-2
Categories:	Books > Social sciences > Education > Educational resources & technology > General
LSN:	981-3293-34-9
Barcode:	9789813293342

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