Abstract:

This paper explores the use of AI in vocational and apprenticeship education with an emphasis on the teaching of technology and data analytics topics. In order to make the discussion more accessible, it is presented in a form suitable for the layman and avoids technical language where possible.

The discussion is situated within the work of the School of Technology at BPP University. The School occupies a unique position in that there is a focus on professional education delivered by practitioners, where learners are often mature and already established in their careers. The work of the School is supported by partner organisations that provide expertise in areas such as analytics, digital business and professional certifications.

We begin by looking at some of the general issues and debates related to the use of AI by educators and learners before moving on to outline some typical uses in the classroom. From this foundation, the discussion moves on look at approaches related to hands-on learning before offering some specific examples showing how AI can be used to support the development of teaching materials, enhance the student learning experience and support individualised learning in areas such as programming.

Keywords:

Apprenticeships, Vocational Education, Individualised Learning, Computer Science, Data Analytics, AI, Programming.