Gahangir Hossain
Papers
1
Total Citations
19
H-Index
1
About
Gahangir Hossain is a researcher whose work sits at the intersection of educational technology, special education, and data science. His primary research areas include technology-assisted mathematics instruction for students with disabilities, content analysis methodologies, and the application of natural language processing (NLP) techniques—such as word networks and structural topic modeling—to educational research. His most cited paper, "A content analysis of research on technology use for teaching mathematics to students with disabilities: word networks and topic modeling" (2023, 19 citations), exemplifies his contribution: a systematic, data-driven synthesis of 488 studies spanning four decades (1980–2021). By applying advanced computational methods, Hossain revealed hidden thematic patterns in how technologies like computers have been used to support mathematics learning for students with disabilities, offering a roadmap for future interventions. Though still early in his career, his work has already informed evidence-based practices in inclusive STEM education. Hossain’s methodological rigor—blending big data analytics with pedagogical insight—positions him as a rising voice in the push for more equitable, technology-enhanced learning environments.
Research Focus
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Top Papers
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