Papers
3
Total Citations
31
H-Index
3
About
Sina Shahmoradi is a researcher at the intersection of educational robotics and learning analytics, dedicated to transforming how robots are used in classrooms. His key research areas include human-robot interaction, learning analytics, and the orchestration of robotic activities in educational settings. Shahmoradi’s major contribution lies in proposing that data generated by educational robots—or "robot analytics"—can be systematically analyzed to uncover deeper insights into learners’ behavior and comprehension. His most-cited work, "Robot Analytics: What Do Human-Robot Interaction Traces Tell Us About Learning?" (2019, 16 citations), advocates for applying learning analytics methods to refine robotic design and improve instructional interventions. He further explores the practical challenges teachers face in orchestrating robotic classrooms, as seen in his papers "Orchestration of Robotic Activities in Classrooms: Challenges and Opportunities" (2019, 10 citations) and "What Teachers Need for Orchestrating Robotic Classrooms" (2020, 5 citations). By bridging the gap between robotics and data-driven education, Shahmoradi provides actionable guidelines for educators and roboticists, paving the way for more effective, evidence-based use of robots in learning environments. His work is essential for anyone interested in the future of technology-enhanced education.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3What Teachers Need for Orchestrating Robotic Classrooms5 citations · 2020