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Adaptive Gamification Mechanics: A Systematic Literature Review on Personalization in Game-Based Learning and Engagement

Year: 2025
Type: review
Study design: Systematic Review
Abstract: Gamification has become a potent method for improving participation and education in diverse fields, but its success frequently depends on the capacity to adjust to unique user inclinations and actions. This systematic literature review investigates the present status of adaptive gamification mechanics, with particular attention to the ways personalization approaches are embedded in game-based learning and engagement systems. This study examines the theoretical foundations and frameworks supporting adaptive gamification, followed by an assessment of their real-world implementations and effects on educational results. The review integrates insights from a varied range of studies, examining essential aspects including adaptive frameworks, educational effectiveness, design approaches, and applications in specific fields. Our approach adheres to a strict procedure for locating, assessing, and analyzing pertinent research, which guarantees a thorough grasp of the subject area. The findings indicate adaptive gamification improves user motivation and retention while presenting difficulties in balancing personalization and scalability. Design strategies often rely on dynamic player modeling and real-time feedback mechanisms, while domain-specific adaptations highlight the need for context-aware solutions. Despite promising advancements, gaps remain in standardizing evaluation metrics and generalizing findings across different populations. Our findings indicate adaptive gamification possesses considerable promise yet demands additional empirical testing and cross-disciplinary cooperation to improve its theoretical bases and real-world applications. This review establishes a basis for subsequent studies by outlining prevailing patterns and pinpointing essential domains requiring advancement.
Language: English
Field: Psychology
Open Access status: green
OpenAlex ID: W7105029527
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