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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.
| Serija: | Smart Computing and Intelligence |
| Leidėjas: | Springer Nature Singapore |
| Išleidimo metai: | 2019 |
| Knygos puslapių skaičius: | 276 |
| ISBN-10: | 9813293349 |
| ISBN-13: | 9789813293342 |
| Formatas: | 241 x 160 x 21 mm. Knyga kietu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Data Analytics Approaches in Educational Games and Gamification Systems“
