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Henderson, Nathan; Kumaran, Vikram; Min, Wookhee; Mott, Bradford; Wu, Ziwei; Boulden, Danielle; Lord, Trudi; Reichsman, Frieda; Dorsey, Chad; Wiebe, Eric; Lester, James – International Educational Data Mining Society, 2020
In recent years, game-based learning has shown significant promise for creating engaging and effective learning experiences. Developing models that can predict whether students will struggle with mastering certain concepts could guide adaptive support to assist students with mastering those concepts. Game-based learning environments offer…
Descriptors: Competency Based Education, Game Based Learning, Student Evaluation, Evaluation Methods
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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