Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School

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- Investigación (EPEF) [581]
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Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary SchoolDate
2023-12-15Citation
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
Abstract
[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.
Keywords
Adaptive e-learning
Intelligent tutoring system
Personalized learning
Adaptive interfaces
AI education
Robot simulation
Intelligent tutoring system
Personalized learning
Adaptive interfaces
AI education
Robot simulation
Description
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/10.1007/978-3-031-49008-8_1
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ISBN
978-3-031-49007-1