Abstract
This chapter summarizes the reported findings of this book to facilitate the adoption of data analytics in educational games and gamification systems. Specifically, this chapter presents the objectives of adopting data analytics which is finding individual differences; doing learning assessments and knowing more about the learners. It then presents the collected metrics and applied analytics techniques in order to achieve these objectives. Additionally, this chapter highlights several limitations reported by other authors during the adoption of learning analytics. These limitations should be considered by researchers and practitioners in their context to facilitate learning analytics adoption. Finally, this chapter provides future insights about the learning analytics field.
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Tlili, A., Chang, M. (2019). Data Analytics Approaches in Educational Games and Gamification Systems: Summary, Challenges, and Future Insights. In: Tlili, A., Chang, M. (eds) Data Analytics Approaches in Educational Games and Gamification Systems. Smart Computing and Intelligence. Springer, Singapore. https://doi.org/10.1007/978-981-32-9335-9_13
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DOI: https://doi.org/10.1007/978-981-32-9335-9_13
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