Text Mining for Mapping Key Factors and Trends in Technology-Enhanced Problem Solving in Teaching and Learning Geometry Della Maulidiya, Nur Aliyyah Irsal
Universitas Bengkulu, Sekolah Tinggi Pertanahan Nasional
Abstract
Integrating technology in geometry problem-solving holds substantial potential for enhancing students^ mathematical problem-solving skills. Many research articles on the use of technology in geometry problem-solving education have been published, offering a rich source of secondary data for mapping research trends, identifying key factors, and understanding challenges in implementing technology in this domain. This study utilizes text mining techniques using R software to process and analyze 197 journal articles from the ERIC database, covering 79 journals and 344 authors. The analysis includes performance analysis (annual publication trends and three-field plot) and co-word analysis based on keywords plus, titles, and abstracts. Findings indicate significant growth in this research area, with an annual growth rate of 32.26% between 1985 and 2024. Topic trend analysis reveals a progression in the research focus, shifting from the role of software as a teaching aid to a crucial, integrated component of active learning. Co-word analysis, including keyword frequency extraction, trend topics, and factorial analysis, identifies critical factors for implementing technology in geometry problem-solving, such as using dynamic software, developing spatial abilities, and the preparedness and competence of teachers in integrating technology. However, challenges such as limited access, difficulties adapting technology for complex geometry tasks, and concerns regarding the validity of technology-based learning approaches present significant barriers that must be addressed to optimize technology use in geometry education. These insights provide valuable guidance for educational technology developers, researchers, and educators aiming to enhance the effectiveness of technology integration in geometry instruction.
Keywords: Geometry Problem Solving, Technology-Enhanced Learning, Educational Technology, Dynamic Software, Text Mining,
