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http://hdl.handle.net/2183/34954 Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School
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Guerreiro-Santalla, S., Duraes, D., Crompton, H., Novais, P., Bellas, F. (2023). Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School. In: Moniz, N., Vale, Z., Cascalho, J., Silva, C., Sebastião, R. (eds) Progress in Artificial Intelligence. EPIA 2023. Lecture Notes in Computer Science(), vol 14115. Springer, Cham. https://doi.org/10.1007/978-3-031-49008-8_1
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[Abstract]: This paper presents the first results on the validation of a new Adaptive E-learning System, focused on providing personalized learning to secondary school students in the field of education about AI by means of an adaptive interface based on a 3D robotic simulator. The prototype tool presented here has been tested at schools in USA, Spain, and Portugal, obtaining very valuable insights regarding the high engagement level of students in programming tasks when dealing with the simulated interface. In addition, it has been shown the system reliability in terms of adjusting the students’ learning paths according to their skills and competences in an autonomous fashion.
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dx.doi.org/10.1007/978-3-031-49008-8_1
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