Pavlos Mantziaris
Papers
1
Total Citations
4
H-Index
1
About
Pavlos Mantziaris is a researcher at the intersection of human-computer interaction and educational robotics, with a focus on making programming accessible to young learners. His most cited work, "DuckyCode: A Hybrid Platform with Graphical and Tangible User Interfaces to Program Educational Robots" (2023), introduces an innovative platform that combines visual block-based coding with physical, tangible blocks to control educational robots. This hybrid approach bridges the gap between abstract programming concepts and concrete, hands-on interaction, enabling children to grasp computational thinking more intuitively. The study, which has garnered 4 citations, demonstrates how tangible interfaces can reduce cognitive load and increase engagement in robotics education. Mantziaris’s contribution lies in designing user-friendly tools that democratize programming for novices, particularly in K-12 settings. By integrating physical and digital modalities, his work addresses a critical challenge in STEM education: how to make coding tangible and fun without sacrificing conceptual depth. His research has implications for the design of future educational technologies, offering a model for inclusive, multi-sensory learning environments.
Research Focus
Key Achievements
Top Papers
- 1