Muhammad Sofwan Mahmud
Papers
1
Total Citations
32
H-Index
1
About
Muhammad Sofwan Mahmud is a leading voice in mathematics education, with a focused research agenda on integrating computational thinking (CT) into teaching and learning. His most-cited work, a 2022 systematic review on computational thinking in mathematics education (32 citations), has become a foundational resource for the field. In this landmark study, Mahmud meticulously maps the emerging patterns of CT research, offering a critical synthesis of how computational concepts—like decomposition, pattern recognition, and algorithmic thinking—are being applied to mathematical problem-solving. By identifying key trends, gaps, and pedagogical strategies, his review provides a clear roadmap for educators and researchers seeking to embed CT into mathematics curricula. This contribution is particularly vital as education systems worldwide push to equip students with 21st-century skills. Mahmud’s work not only clarifies the current landscape but also guides future empirical studies, making him a pivotal figure in shaping how mathematics education evolves to meet the demands of a digital age. His research continues to influence curriculum design and teacher training, ensuring that computational thinking becomes an integral, rather than peripheral, component of mathematical learning.
Research Focus
Key Achievements
Top Papers
- 1Computational thinking in mathematics education: A systematic review32 citations · 2022