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Accelerating Early Math Learning with Research-Based Personalized Learning Games: A Cluster Randomized Controlled Trial

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Thai, Khanh-Phuong; Bang, Hee Jin; Li, Linlin – Journal of Research on Educational Effectiveness, 2022

This study examines whether "My Math Academy," a digital game-based learning environment that provides personalized content and adaptive embedded assessments, can improve math knowledge of Transitional Kindergarten and Kindergarten students. A cluster randomized study was conducted with 20 classrooms, 10 of which were randomly assigned…

Descriptors: Mathematics Instruction, Knowledge Level, Kindergarten, Game Based Learning

Proceedings of the International Conference on Educational Data Mining (EDM) (13th, Online, July 10-13, 2020)

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Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020

The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…

Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing

Proceedings of the International Conference on Educational Data Mining (EDM) (12th, Montreal, Canada, July 2-5, 2019)

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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…

Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis