Mapping Research Trends on Mathematics Learning Motivation: A Bibliometric Analysis Using VOSViewer
Kata Kunci:
Mathematics Learning Motivation, Bibliometric Analysis, Learning Models, VOSViewerAbstrak
Mathematics learning motivation is one of the crucial factors influencing students’ success in understanding concepts and improving learning outcomes. This study aims to map the development of research on mathematics learning motivation through bibliometric analysis using the VOSViewer software. The data were obtained from 100 publications downloaded from the App.Dimensions database with the keyword “mathematics learning motivation” within the 2020–2025 period. The research process involved identification, selection, validation, and data analysis based on research type, learning tools, learning models, educational levels, and class groupings. The analysis results indicate three main clusters: issues of low learning outcomes associated with the RME approach, problem-solving strategies through problem-based learning (PBL), and global trends highlighting students’ motivation and engagement. Overall, research is more dominantly conducted using quantitative methods and classroom action research (CAR), with the use of teaching materials, media/applications, and student worksheets (LKPD) as the primary learning tools. Cooperative and collaborative models are the most frequently applied strategies, with the majority of studies focusing on junior and senior high school levels. In contrast, early childhood, elementary, and higher education levels are still rarely explored. These findings emphasize the importance of expanding research to early and higher education levels, as well as developing innovative learning tools and models to support the sustainable improvement of mathematics learning motivation.
Unduhan
Referensi
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