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Download full textHenderson, Nathan; Acosta, Halim; Min, Wookhee; Mott, Bradford; Lord, Trudi; Reichsman, Frieda; Dorsey, Chad; Wiebe, Eric; Lester, James – International Educational Data Mining Society, 2022
Stealth assessment in game-based learning environments has demonstrated significant promise for predicting student competencies and learning outcomes through unobtrusive data capture of student gameplay interactions. However, as machine learning techniques for student competency modeling have increased in complexity, the need for substantial data…
Descriptors: Evaluation Methods, Game Based Learning, Educational Environment, Learning Strategies
