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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
Oliveira, Wilk; Hamari, Juho; Joaquim, Sivaldo; Toda, Armando M.; Palomino, Paula T.; Vassileva, Julita; Isotani, Seiji – Smart Learning Environments, 2022
Gamification refers to the attempt to transform different kinds of systems to be able to better invoke positive experiences such as the flow state. However, the ability of such intervention to invoke flow state is commonly believed to depend on several moderating factors including the user's traits. Currently, there is a dearth of research on the…
Descriptors: Game Based Learning, Learner Engagement, Learning Motivation, Personality Traits

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