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Rodrigues, Luiz; Toda, Armando M.; Oliveira, Wilk; Palomino, Paula Toledo; Vassileva, Julita; Isotani, Seiji – IEEE Transactions on Learning Technologies, 2022
Personalized gamification explores user models to tailor gamification designs to mitigate cases wherein the one-size-fits-all approach ineffectively improves learning outcomes. The tailoring process should simultaneously consider user and contextual characteristics (e.g., activity to be done and geographic location), which leads to several…
Descriptors: Automation, Game Based Learning, Individualized Instruction, Attitudes