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Orji, Fidelia A.; Vassileva, Julita – Journal of Educational Technology Systems, 2023
This research presents a proposed approach that could be applied in modeling students' study strategies and performance in higher education. The research used key learning attributes, including intrinsic motivation, extrinsic motivation, autonomy, relatedness, competence, and self-esteem in the modeling. Five machine learning models were…
Descriptors: Student Motivation, Learner Engagement, Undergraduate Students, Learning Strategies
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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