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About

Frances Wijnen is a pioneering researcher in child-robot interaction and educational robotics, whose work sits at the intersection of human-robot interaction, learning science, and instructional design. Her research focuses on how social robots can serve as effective pedagogical tools in real-world classroom settings, with a particular emphasis on autonomous, long-term deployments that reflect genuine educational environments rather than controlled laboratory conditions. Wijnen's most influential contributions include landmark studies on unsupervised robot-assisted learning in schools, most notably her 2020 work on Robot-Extended Computer Assisted Learning (RE-CAL), which has garnered 46 citations. Her research into how praise delivered by social robots shapes children's growth mindsets (34 citations) demonstrates her nuanced attention to the psychological dimensions of human-robot interaction. Through her involvement in the European EASEL Project, she contributed to foundational frameworks for human-robot symbiotic interaction in educational contexts. A consistent thread across her work is the question of how robots can meaningfully stimulate children's inquiry-based reasoning and verbal articulation of knowledge. Her contextual design analyses and validation of tools for measuring children's perceptions of robot social competence reflect a rigorous, child-centered methodology. With over 180 total citations, Wijnen's scholarship has meaningfully advanced the field of educational robotics.