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Oscar Rodrigo González-López; María Buenadicha-Mateos; Juan Luis Tato-Jiménez; María Isabel Sánchez-Hernández – SAGE Open, 2025
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…
Descriptors: Gamification, Game Based Learning, Higher Education, Student Characteristics
Arztmann, Michaela; Hornstra, Lisette; Jeuring, Johan; Kester, Liesbeth – Studies in Science Education, 2023
Game-based learning has proven to be effective and is widely used in science education, but usually the heterogeneity of the student population is being overlooked. To examine the differential effects of game interventions in STEM (Science, Technology, Engineering and Mathematics) related subjects on diverse student groups, a meta-analysis has…
Descriptors: Elementary School Students, Secondary School Students, STEM Education, Games
Kurtz, Holly; Lloyd, Sterling; Harwin, Alex; Chen, Victor; Gubbay, Natalie – Editorial Projects in Education, 2021
Student engagement is a longstanding concern among educators. The issue became even more urgent in March of 2020, when U.S. schools shut down to slow the spread of the novel coronavirus, forcing millions of American students and teachers to engage in remote learning for the very first time. Although some students thrived in the new environment,…
Descriptors: Learner Engagement, Student Surveys, Teacher Surveys, National Surveys
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis

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