Jo Shan Fu

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About

Dr. Jo Shan Fu is a pioneering researcher at the intersection of artificial intelligence, robotics, and education, with a focus on transforming learning through automation and human-robot interaction. Her work centers on developing intelligent tutoring systems and robotic process automation (RPA) to re-engineer educational workflows, making them more adaptive and efficient. In her highly cited 2023 study, "Developing an early-warning system through robotic process automation: Are intelligent tutoring robots as effective as human teachers?" (42 citations), Fu demonstrated how RPA robots can learn by observing human teachers, analyzing user processes to create early-warning systems that rival human instruction—a breakthrough for personalized, scalable education. Her more recent 2025 research, "Exploring students’ perceived benefits of multimodal content creation with social robots in language learning," extends this work by examining how social robots enhance student engagement through multimodal content creation, even as early citations (2) signal growing interest. Fu’s contributions are reshaping how educators and technologists think about AI-driven pedagogy, offering practical pathways for integrating robots into classrooms while maintaining the human touch. Her work is essential reading for anyone interested in the future of intelligent tutoring, educational automation, and the role of social robots in learning.