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Adaptive Gamification in Higher Education

Tailoring Game Elements to Player Profiles and Gender Differences

Bibliographic Data

ID16913752
AuthorsÓscar Rodrigo González López (0000-0001-6610-3676, Universidad de Extremadura), María Buenadicha Mateos (0000-0002-7773-9378, Universidad de Extremadura), Juan Luis Tato Jiménez (0000-0003-2074-6777, Universidad de Extremadura), María Isabel Sánchez Hernández (0000-0002-6806-1606, Universidad de Extremadura, corresponding author)
Year2025
Volume15
Issue3
Publication date2025-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/21582440251377738
OpenAlexW4414570816
LanguageEN
Citations received1
References cited68

Using a descriptive cross-sectional survey design, this study investigates how different player types—achiever, explorer, killer, and socializer—engage with gamified learning elements in higher education. Grounded in Self-Determination Theory—which emphasizes autonomy, competence, and relatedness in fostering intrinsic motivation—the research analyzes 481 business students in Spain, focusing on pure player profiles within the Mechanics, Dynamics, and Components (MDC) framework. The findings underscore the importance of a personalized approach to gamification, moving beyond standardized designs to better align game elements with individual player characteristics and gender. By tailoring strategies to distinct profiles, educators can foster deeper student engagement and motivation. These insights contribute to the academic discourse on adaptive gamification and support policy development aimed at creating more effective, context-sensitive learning environments in higher education

Electronic learning · Game design · Grounded theory · Higher education · Student engagement · Survey data collection · Educational Games and Gamification · Impact of Technology on Adolescents · Online Learning and Analytics

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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