Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School
Document Type
Conference Paper
Publication Date
12-15-2023
DOI
10.1007/978-3-031-49008-8_1
Publication Title
EPIA 2023: Progress in Artificial Intelligence
Volume
14115
Pages
3-15
Conference Name
EPIA Conference on Artificial Intelligence, September 5-8, Faial Island, Azores, Portugal
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.
Rights
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG.
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
Springer Nature’s AM terms of use https://www.springernature.com/gp/open-science/policies/accepted-manuscript-terms
Original Publication Citation
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 (pp. 3-15). Lecture Notes in Computer Science (LNIA, vol 14115). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-49008-8_1
ORCID
0000-0002-1775-8219 (Crompton)
Repository Citation
Guerreiro-Santalla, Sara; Duraes, Dalila; Crompton, Helen; Novais, Paulo; and Bellas, Francisco, "Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School" (2023). STEMPS Faculty Publications. 360.
https://digitalcommons.odu.edu/stemps_fac_pubs/360
Included in
Artificial Intelligence and Robotics Commons, Educational Technology Commons, Secondary Education Commons
Comments
The work of D. Durães and P. Novais has been supported by FCT–Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020. The work of F. Bellas was supported by Grant TED2021-131172B-I00 funded by MCIN/AEI/ https://doi.org/10.13039/501100011033 and by the “European Union NextGenerationEU/PRTR”. The “Programa de ayudas a la etapa predoctoral” from Xunta de Galicia supported this work through Sara Guerreiro’s grant. Finally, F. Bellas and S. Guerreiro-Santalla wish to acknowledge the CITIC research center, funded by Xunta de Galicia and European Regional Development Fund (grant ED431G 2019/01).