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About

Aidan Jones is a pioneering researcher at the intersection of educational technology, human-robot interaction, and learning sciences, with a particular focus on robotic tutors and their role in transforming classroom experiences. His work has significantly advanced our understanding of how robots can be designed to support personalized, emotionally intelligent learning environments. Jones's most influential contribution, "The Case of Classroom Robots: Teachers' Deliberations on the Ethical Tensions" (2016, 156 citations), sparked critical conversations about the moral complexities of introducing robots into education. Complementing this, his research on empathic robotic tutors — explored across multiple studies from 2014 onward — investigates how artificial empathy can foster meaningful socio-emotional bonds between learners and machines, a multidisciplinary challenge he tackles with remarkable depth. A recurring theme throughout his career is self-regulated learning, with his 2018 study on adaptive robotic tutors (98 citations) demonstrating sustained positive impacts on primary school children over extended periods. His earlier interview-based studies capturing teachers' perspectives across Europe further ground his technical innovations in real-world pedagogical concerns. Collectively, Jones's body of work, accumulating over 475 citations, offers an essential foundation for anyone exploring the future of intelligent, compassionate educational technology.