RoboboITS: a Simulation-Based Tutoring System to Support AI Education through Robotics
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RoboboITS: a Simulation-Based Tutoring System to Support AI Education through RoboticsFecha
2023-06-30Cita bibliográfica
Guerreiro-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_62
Resumen
[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.
Palabras clave
AI education
AI for K12
Tutoring systems
Personalized learning
Learning by doing
Autonomous robotics
Robotic simulation
AI for K12
Tutoring systems
Personalized learning
Learning by doing
Autonomous robotics
Robotic simulation
Descripción
This 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
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Derechos
Springer Nature’s AM terms of use https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms
ISBN
978-3-031-36336-8