VET (Vocational Education and Training) Reforms and Labour Market reforms have started a process aimed at filling the gap between demand and supply of competences. The demand of competences, in fact, is affected by factors requiring the constant adjustment of production and training processes as well as the greater connection between education/training system and enterprises. Digital training, included in National Programmes of ERASMUS+, is essential in order to ensure effective training practices for the current VET system which is undergoing organizational and methodological change. In this context, Digital Teaching in VET System is an innovative approach to support the objectives set out in national and European strategies for applying ICT to VET systems through teachers/trainers training. The use of Augmented Reality, Virtual Reality and Mixed Reality technologies is an important strategy to innovate teaching and improve attention of students during the training session. iDid, application for immersive teaching, represent the deliverable of the project that allows VET teachers and trainers to produce contents of lessons using the potentialities of AR/VR/MR streams, and to share contents in a community oriented approach to transfer know-how and also obtain important user feedbacks.
Studio Risorse Srl, Italy - ORCID: 0000-0001-6794-9446
Studio Risorse Srl, Italy
iInformatica Srl, Italy - ORCID: 0000-0003-4971-8788
iInformatica Srl, Italy - ORCID: 0000-0002-5044-0050
Akademia Humanistyczno-Ekonomiczna w Lodzi, Poland - ORCID: 0000-0001-7596-0813
Center republike slovenije za poklicno izobrazevanje, Slovenia - ORCID: 0000-0001-8877-6388
AFN academia formação do norte, unipessoal lda, Portugal - ORCID: 0000-0002-4683-1542
Asociacion de innovacion emprendimiento y tecnologias de la informacion y la comunicacion innetica, Spain
Titolo del capitolo
Digital.VET : An innovative approach for teaching and training
Autori
Teresa Maltese, Maria Santarcangelo, Vito Santarcangelo, Diego Sinitò, Aneta Poniszewska-Marańda, Jure Šuligoj, Alcidio Jesus, Elisardo Sanchis
Lingua
English
DOI
10.36253/979-12-215-0106-3.38
Opera sottoposta a peer review
Anno di pubblicazione
2023
Copyright
© 2023 Author(s)
Licenza d'uso
Licenza dei metadati
Titolo del libro
ASA 2022 Data-Driven Decision Making
Sottotitolo del libro
Book of short papers
Curatori
Enrico di Bella, Luigi Fabbris, Corrado Lagazio
Opera sottoposta a peer review
Anno di pubblicazione
2023
Copyright
© 2023 Author(s)
Licenza d'uso
Licenza dei metadati
Editore
Firenze University Press, Genova University Press
DOI
10.36253/979-12-215-0106-3
eISBN (pdf)
979-12-215-0106-3
eISBN (xml)
979-12-215-0107-0
Collana
Proceedings e report
ISSN della collana
2704-601X
e-ISSN della collana
2704-5846