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GUIDELINES
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MODULES
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Publications
2023
Renda, C., Prieto, A., & Bellas, F. (2023, November).
Teaching reinforcement learning fundamentals in vocational education and training with robobosim.In Iberian Robotics conference (pp. 526-538). Cham: Springer Nature Switzerland.
Prieto, A., Guerreiro, S., & Bellas, F. (2023, August).
AIM@ VET: Tackling Equality on Employment Opportunities Through a Formal and Open Curriculum About AI. In Computational Intelligence in Security for Information Systems Conference (pp. 228-237). Cham: Springer Nature Switzerland.
Žiga Emeršič, Gregor Hrastnik, Nataša Meh Peer, Peter Peer
Adapting VET Education to Labor Market Needs with Focus on Artificial Intelligence and Computer Vision - ROSUS 2023 Conference, p77
Lacerda, B., Marcondes, F. S., Lima, H., Durães, D., & Novais, P. (2023, July).
Prediction of Students’ Grades Based on Non-academic Data. In International Conference in Methodologies and intelligent Systems for Techhnology Enhanced Learning (pp. 87-95). Cham: Springer Nature Switzerland.
2024
Emeršič, Ž., Peer, P., Hrastnik, G., Peer, N. M., Bey, J. M., Meizoso-García, M., ... & Prieto, A. (2024).
Integrating AI into VET: Insights from AIM@ VET’s First Training Activity.
Kirn, V. L., Emeršič, Ž. I. G. A., Hrastnik, G. R. E. G. O. R., Meh Peer, N., & Peer, P. (2024).
Introductory computer vision teaching materials for vet education. ROSUS 2024, 61-69.
Dalila Durães
AI and Adaption of the VET curriculum for the labour market-LaIDTC2024