Dafna Sinai
Papers
1
Total Citations
7
H-Index
1
About
Dafna Sinai investigates the intersection of human-robot interaction and education, with a particular focus on how social robots can support self-regulated learning in online environments. Her most-cited work, “Perceptions of Social Robots as Motivating Learning Companions for Online Learning” (2022), addresses a critical challenge amplified by the COVID-19 pandemic: maintaining student motivation and engagement in digital classrooms. By examining how social robots might serve as empathetic, interactive companions, Sinai’s research offers a novel pathway to combat the isolation and lack of structure that often hinder online learners. Her contributions are especially timely, as they propose tangible, technology-driven solutions to improve educational outcomes in an increasingly remote world. With 7 citations on this key paper, her work is gaining recognition among scholars exploring the role of artificial agents in pedagogy. Sinai’s research not only advances theoretical understanding of human-robot relationships but also provides practical insights for designing learning companions that foster persistence and self-regulation. Her findings are a valuable resource for educators, technologists, and students seeking to harness social robotics for more effective and supportive online learning experiences.
Research Focus
Key Achievements
Top Papers
- 1