Maria Deetman
Papers
1
Total Citations
7
H-Index
1
About
Maria Deetman is a pioneering researcher at the intersection of music education and human-robot interaction. Her work investigates how social robots can enhance motivation and performance in children learning musical instruments—a field where sustained engagement is notoriously challenging. In her most-cited study, "Learning Musical Instrument with the Help of Social Robots: Attitudes and Expectations of Teachers and Parents" (2022, 7 citations), Deetman systematically examined the perspectives of key stakeholders, revealing both enthusiasm and critical concerns about integrating robots into music pedagogy. This foundational work maps the social and practical barriers to adoption, positioning her as a bridge between technological innovation and educational practice. Beyond this study, Deetman’s research continues to explore how robotic companions can scaffold practice routines, provide real-time feedback, and foster long-term musical growth. Her contributions are especially notable for centering the voices of teachers and parents—often overlooked in tech-driven interventions—ensuring that robot-assisted learning is not only effective but also socially acceptable. As the field of educational robotics matures, Deetman’s stakeholder-focused approach offers a vital blueprint for designing tools that truly support young musicians.
Research Focus
Key Achievements
Top Papers
- 1