MSc Educational Assistive Technology: Training an Emergent Professional Group.

Assistive Technologist Assistive Technology EduAT Education Educational Assistive Technologist

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
23 Aug 2023
Historique:
medline: 29 8 2023
pubmed: 28 8 2023
entrez: 28 8 2023
Statut: ppublish

Résumé

The MSc Educational Assistive Technology (EduAT), is a recently established course, having welcomed the first cohort in January 2021, this group have recently completed their studies. At time of writing (summer 2023) the course is actively recruiting it's fourth cohort who are due to commence in January 2024. The course is now an established part of the AT training offer as the curriculum has been developed and delivered. This paper supports the presentation prepared for AAATE 2023. The EduAT approach uses the ESCO definition of the Assistive Technologist role, which is briefly summarised. The paper continues with how and why MSc EduAT was developed and explores how this MSc fits into a wider AT training ecosystem, noting roles that EduAT has been designed to support. An overview of the curriculum developed to train assistive technologists is included alongside a summary of what has been learned since the course began. The paper concludes by briefly summarising AT and AAC research group plans that have been informed by the experience of developing and delivering the MSc EduAT, and through the contributions students have made to the authors wider understanding of the assistive technology landscape in the UK and beyond.

Identifiants

pubmed: 37638950
pii: SHTI230661
doi: 10.3233/SHTI230661
doi:

Types de publication

Journal Article

Langues

eng

Pagination

461-468

Auteurs

Rohan Slaughter (R)

Computing, School of Science and Engineering, University of Dundee, UK.

Annalu Waller (A)

Computing, School of Science and Engineering, University of Dundee, UK.

Tom Griffiths (T)

Computing, School of Science and Engineering, University of Dundee, UK.

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Classifications MeSH