Guerreiro-Santalla, SaraCrompton, HelenBellas, Francisco2024-01-172023-06-30Guerreiro-Santalla, S., Crompton, H., Bellas, F. (2023). RoboboITS: A Simulation-Based Tutoring System to Support AI Education Through Robotics. In: Wang, N., Rebolledo-Mendez, G., Dimitrova, V., Matsuda, N., Santos, O.C. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky. AIED 2023. Communications in Computer and Information Science, vol 1831. Springer, Cham. https://doi.org/10.1007/978-3-031-36336-8_62978-3-031-36336-8http://hdl.handle.net/2183/34952This version of the conference paper has been accepted for publication and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-031-36336-8_62[Abstract]: This paper presents a novel tutoring system to educate pre-university students about AI, a key issue to develop AI in Education for Sustainable Society. With the aim of following a learning-by-doing approach to AI, we decided to focus on robotics as the main application domain for the students’ activities. Specifically, the tutoring system is based on the Robobo educational robot, and its simulation environment. A prototype version of the tutoring system, called RoboboITS, has been released and tested in two in-person sessions with 17 students in a secondary school at Virginia (USA), leading to and promising outcomes for future development.engSpringer Nature’s AM terms of use https://www.springernature.com/gp/open-research/policies/accepted-manuscript-termsAI educationAI for K12Tutoring systemsPersonalized learningLearning by doingAutonomous roboticsRobotic simulationconference outputopen accesshttps://doi.org/10.1007/978-3-031-36336-8_62