AI to Support Neurodivergent Learners in Vocational Education and Training

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Bol AI (Artificial Intelligence) and other advanced technologies could support neurodivergent learners in VET (Vocational Education and Training) settings, including in work-based learning and apprenticeships, and the transition to work. This report explores the use of these technologies by learners with Autism Spectrum Disorder (ASD), Attention-Deficit/Hyperactivity Disorder (ADHD), dyslexia, dyscalculia and dysgraphia, and by teachers and trainers catering for diverse needs. Drawing on insights from over 50 stakeholder interviews, the report highlights the potential of these technologies to make VET more adaptive, accessible and inclusive. For instance, Extended Reality (XR) technologies can enable immersive, adaptable and practice-oriented learning, while accessibility tools (e.g. speech-to-text) have become more accurate in recent years due to advances in AI and in cloud computing. The use of AI and other advanced technologies raises risks related to data privacy, bias, socio-emotional well-being and skill development, many of which also apply to the wider learner population. The report's policy guidelines highlight the important role that governments can play in equipping VET teachers and trainers with the right skills, supporting the assistive technology ecosystem, and helping neurodivergent learners, VET institutions and employers to navigate new technological advances.

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AI (Artificial Intelligence) and other advanced technologies could support neurodivergent learners in VET (Vocational Education and Training) settings, including in work-based learning and apprenticeships, and the transition to work. This report explores the use of these technologies by learners with Autism Spectrum Disorder (ASD), Attention-Deficit/Hyperactivity Disorder (ADHD), dyslexia, dyscalculia and dysgraphia, and by teachers and trainers catering for diverse needs. Drawing on insights from over 50 stakeholder interviews, the report highlights the potential of these technologies to make VET more adaptive, accessible and inclusive. For instance, Extended Reality (XR) technologies can enable immersive, adaptable and practice-oriented learning, while accessibility tools (e.g. speech-to-text) have become more accurate in recent years due to advances in AI and in cloud computing. The use of AI and other advanced technologies raises risks related to data privacy, bias, socio-emotional well-being and skill development, many of which also apply to the wider learner population. The report's policy guidelines highlight the important role that governments can play in equipping VET teachers and trainers with the right skills, supporting the assistive technology ecosystem, and helping neurodivergent learners, VET institutions and employers to navigate new technological advances.


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Merk Oecd
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  • 9789264693012
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