Active Education & Skills Computing & AI

University of Glasgow and Multiverse Group Limited 23_24 R6

In plain English

AI plain-English summary

A new apprenticeship curriculum will embed digital and AI technologies directly into training, aiming to reach more learners while maintaining high-quality outcomes. This matters because traditional apprenticeship models often struggle to scale effectively—they rely on in-person instruction and fixed locations, which limits who can participate. By integrating digital tools and AI, the curriculum could make apprenticeships accessible to people who cannot attend a physical site regularly, such as those in remote areas or with caring responsibilities. The project also addresses a skills gap: many industries now require digital literacy and AI competence, yet existing apprenticeship frameworks rarely teach these systematically. If successful, this could change how vocational training operates across the UK. Employers would gain a pipeline of workers already fluent in the technologies their sectors depend on. Learners would receive a qualification that is both practical and future-proofed. The curriculum itself could become a template for other training providers, quietly reshaping the infrastructure of skills development—not through dramatic innovation, but by making an existing system more flexible and inclusive. The project does not claim to solve every problem in apprenticeships, but it targets a specific bottleneck: how to deliver high-quality, technology-rich training at scale.

View original technical description
To develop an outstanding apprenticeship curriculum that incorporates digital and AI technologies to reach a wider range of learners with high-quality outcomes.

View the original record at the funder ↗

Related Research

Grants with similar aims, by meaning.

The Futureproof Lab
Edinburgh Napier University and Fieri Leadership and Development Limited KTP 24_25 R1
Edinburgh Napier University and Functional Skills UK Limited KTP 24_25 R5
University of Southampton and First Step Trust KTP 22_23 R5
AR EdTech For Hydrogen Skills

Original classification

Knowledge Transfer Partnership

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.