Muhammad Sofwan Mahmud

National University of Malaysia

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

1
H-Index
1
Papers
32
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Computational thinking in mathematics education: A systematic review
32 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: National University of Malaysia

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago