Artificial Intelligence in Professional and Vocational Training - Institut Agro Dijon Access content directly
Book Sections Year : 2024

Artificial Intelligence in Professional and Vocational Training

Abstract

This chapter explores challenges linked to AI integration in professional training, emphasising the need to question the learning analytics generated during activities involving humans or living entities. The intersection of initial and ongoing training poses a design challenge: making AI tools acceptable for both training and the workplace. This chapter critically examines the nature and quality of the initial data and learning analytics using educational data mining through three case studies of adaptive learning environments. The first case study addresses the challenges of modelling Comté cheese manufacturing. The second case study describes Silva Numerica, a digital forest simulator, exploring how AI, as a learning tool, can contribute to realistic modelling while addressing didactic obstacles. The third case delves into AI's role in automotive mechanics training, emphasising the need for visibility in cognitive inference processes. The chapter concludes by addressing data reliability concerns in AI systems and proposing education and training strategies to overcome such challenges.
Fichier principal
Vignette du fichier
978-3-031-55272-4_11.pdf (194.15 Ko) Télécharger le fichier
Origin Publication funded by an institution
Licence

Dates and versions

hal-04616019 , version 1 (18-06-2024)

Licence

Identifiers

Cite

Solange Ciavaldini-Cartaut, Jean-François Métral, Paul Olry, Dominique Guidoni-Stoltz, Charles-Antoine Gagneur. Artificial Intelligence in Professional and Vocational Training. Creative Applications of Artificial Intelligence in Education, Springer Nature Switzerland, pp.145-155, 2024, Palgrave Studies in Creativity and Culture, 978-3-031-55271-7. ⟨10.1007/978-3-031-55272-4_11⟩. ⟨hal-04616019⟩
0 View
0 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More