Personalized Gamification with Adaptive Feedback in Programming Education: A Motivational-Profile and Learning-Style-Based Approach
DOI:
https://doi.org/10.5753/rbie.2025.6170Keywords:
Personalized Gamification, Adaptive Feedback, Programming Education, Motivational Profiles, Learning StylesAbstract
This study investigates the impact of personalized gamification strategies on programming education, based on students’ motivational profiles and learning styles. The research was conducted in a technical computer science course and is grounded in the HEXAD and GRSLSS models for classifying student profiles and integrating these classifications into the organization of gamified activities. The pedagogical proposal includes the use of adaptive feedback to promote continuous adjustments in the activities, according to students’ performance and responses. The methodology encompassed two phases: the first involved the application of a common introductory activity (Animal Duel), and the second, an activity based on Object-Oriented Programming (OOP), adapted to the previously identified profiles. The results indicate significant gains in engagement, autonomy, content comprehension, and academic performance. The adopted approach demonstrates that personalized gamification, combined with adaptive feedback, can make the teaching and learning process more inclusive and effective. This study contributes to the field of Computer Science Education by presenting a practical, replicable, and theoretically grounded methodology that considers the diversity of student profiles in real educational contexts.
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Copyright (c) 2025 Patricia Diniz; Bruno Merlin, Heleno Fulber, Carlos Portela
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