Arif Rachmatullah
Papers
1
Total Citations
24
H-Index
1
About
Arif Rachmatullah’s research lies at the intersection of computer science education, equity, and learning analytics, with a focus on dismantling systemic barriers in K-12 STEM learning. His most-cited work, “Interaction effects of race and gender in elementary CS attitudes: A validation and cross-sectional study” (2021, 24 citations), exemplifies his commitment to understanding how race and gender intersect to shape students’ attitudes toward computer science. This study not only validated a critical measurement tool but also revealed nuanced disparities that challenge oversimplified narratives about underrepresentation. Beyond this, Rachmatullah’s broader contributions include designing inclusive curricula and leveraging data-driven methods to personalize instruction for diverse learners. His work has been recognized for its methodological rigor and its direct implications for classroom practice, earning him a growing reputation among scholars in CS education. With a citation count that continues to rise, Rachmatullah is shaping how educators and researchers approach equity in technology fields—moving beyond surface-level diversity to address the deeper, intersecting factors that influence student engagement and persistence.
Research Focus
Key Achievements
Top Papers
- 1