Merel Bakker
Papers
1
Total Citations
13
H-Index
1
About
Merel Bakker’s research sits at the intersection of educational psychology and human-robot interaction, exploring how technology can unlock children’s learning potential. Her most influential work, “Dynamic testing: Can a robot as tutor be of help in assessing children's potential for learning?” (2019, 13 citations), investigates whether a robot tutor can effectively assess and enhance children’s cognitive development. In this study, Bakker used a “Wizard of Oz” setup to have a robot guide children aged 6–9 through series-completion tasks, revealing distinct patterns in their learning potential and strategy use. This innovative approach bridges dynamic testing—a method for measuring learning capacity rather than static knowledge—with emerging educational robotics. Bakker’s contributions highlight how non-human tutors can create consistent, engaging assessment environments, reducing bias and anxiety in young learners. While her citation count is modest, the work’s novelty and interdisciplinary nature make it a touchstone for researchers in adaptive learning technologies. Her findings offer practical insights for designing personalized, robot-assisted educational tools that support children’s cognitive growth, positioning her as a forward-thinking voice in the future of learning.
Research Focus
Key Achievements
Top Papers
- 1