Rian Aarts
Papers
4
Total Citations
85
H-Index
3
About
Rian Aarts is a pioneering researcher at the intersection of educational technology and human-robot interaction, with a primary focus on leveraging social robots to enhance second language (L2) acquisition in early childhood. Her work centers on applying Self-Determination Theory to design robot tutors that boost intrinsic motivation and engagement in young learners, particularly preschoolers and kindergartners. In her most-cited study (41 citations), Aarts demonstrated how motivational strategies embedded in social robots significantly increased task engagement during L2 word learning. She further advanced the field by exploring the use of first-language (L1) translations in robot-assisted vocabulary interventions for linguistically diverse classrooms, a novel approach that addresses practical limitations teachers face (26 citations). Her research also investigates developmental factors, revealing that age significantly influences children's engagement patterns during child-robot interactions, with younger preschoolers showing greater distractibility (16 citations). Aarts’s notable achievement lies in bridging theoretical frameworks with practical, scalable solutions for multilingual education, making her a key figure in the growing domain of socially assistive robotics for early language development.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3The Effect of Age on Engagement in Preschoolers' Child-Robot Interactions16 citations · 2017
- 4Storytelling with a social robot2 citations · 2019