Adaptive Gamification in Learning Management Systems: A Systematic Literature Review
DOI:
https://doi.org/10.66472/dimuvi.v1i2.408Keywords:
Adaptive Gamification, Artificial Intelligence (AI), FSLSM, Higher Education, Learning Management System (LMS)Abstract
Digital transformation has positioned the Learning Management System (LMS) as the centerpiece of the higher education learning ecosystem. However, current conventional gamification implementations are still dominated by a static, "one-size-fits-all" approach, which often triggers gamification fatigue and a long-term decline in student motivation. This study aims to synthesize literature regarding the convergence between Artificial Intelligence (AI) and the Felder-Silverman Learning Style Model (FSLSM) in developing adaptive gamification within LMS. The research methodology employed is a Systematic Literature Review (SLR) based on the PRISMA protocol, combined with bibliometric analysis using VOSviewer on 31 selected articles ranging from 2021 to 2026. The results indicate a significantly increasing global publication trend, peaking in 2025. The knowledge structure in this domain is divided into two primary pillars: a pedagogical cluster focusing on motivation theory and a technical cluster emphasizing personalization algorithms and system architecture. The main findings confirm that AI and FSLSM integration allows an LMS to transform into a dynamic ecosystem capable of adjusting game elements in real-time based on student psychological profiles, thereby increasing active engagement and learning effectiveness. This research provides a strategic roadmap for educational technology developers to create more inclusive and personalized digital learning environments.
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