Eline Lan
Papers
1
Total Citations
3
H-Index
1
About
Eline Lan is an emerging researcher at the intersection of educational technology and human-robot interaction, with a primary focus on leveraging social robots to address learning gaps in primary education. Her most cited work, a 2021 exploratory field study, investigates how social robots can mitigate mathematics hiatuses exacerbated by COVID-19 school lockdowns—a timely contribution that bridges the gap between remote learning disruptions and classroom recovery. By demonstrating that standard pedagogical methods alone are insufficient, Lan’s research pioneers the integration of social robots as adaptive, engaging tools to support young learners in core subjects. With 3 citations on this pivotal paper, her work has already sparked interest in the potential of robotics to transform foundational education. Lan’s contributions are particularly notable for their practical, field-based approach, offering actionable insights for educators and technologists alike. As social robots become increasingly integral to modern classrooms, her research stands as a foundational step toward scalable, interactive solutions that address real-world educational challenges, making her a promising voice in the future of AI-driven learning.
Research Focus
Key Achievements
Top Papers
- 1