Tailoring gamified educational systems to users and context

This PhD thesis investigates personalized gamification approaches for educational systems, developing and validating methods to tailor gamification designs based on user characteristics and contextual factors to improve learning outcomes. The work focuses on gamification personalization strategies rather than AI systems, though adaptive learning systems are mentioned as part of the educational technology landscape.

Computing Education (CE) is associated with motivational issues, which might lead to poor performance and dropouts. Whereas gamification might tackle motivational issues, it must be personalized to both user and contextual characteristics to achieve its full potential. However, most guidelines for personalizing gamification are limited to a single user dimension, and the few that go beyond that limitation lack empirical evaluations comparing them to the standard, one-size-fits-all (OSFA) approac

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