Subhajit Datta
Papers
1
Total Citations
24
H-Index
1
About
Subhajit Datta’s research bridges computing education and human-computer interaction, with a focus on how tangible technologies can transform learning. His most-cited work, “Effectiveness of Physical Robot Versus Robot Simulator in Teaching Introductory Programming” (2018, 24 citations), is a landmark study that directly compares the pedagogical impact of physical robots against software simulators in university-level programming courses. By measuring students’ conceptual learning gains and overall experience, Datta provided empirical evidence that physical robots can enhance engagement and comprehension in introductory programming—a finding that has influenced curriculum design and educational robotics research. This work demonstrates his commitment to evidence-based pedagogy and his ability to translate theoretical insights into practical teaching tools. Datta’s contributions extend beyond this study, as he continues to explore how interactive systems and embodied agents can make abstract computational concepts more accessible. His research not only advances educational technology but also offers actionable guidance for educators seeking to integrate robotics into their classrooms. With a growing citation footprint, Datta is shaping how we understand the role of physicality in learning—a critical question as education increasingly blends digital and tangible tools.
Research Focus
Key Achievements
Top Papers
- 1