Forward Today we have a guest blog post from one of Jisc’s data science apprentices, Eleni Apostolopoulou. It’s more technical than our usual posts, but we’ve seen a lot of interest in the detail of how exactly AI can be used with existing data to solve problems, so we thought it would good to share […]
Category: Understanding AI in Education
Introduction One of the core aims for our national centre for AI in tertiary education is to help institutions along their journey to mature adoption of AI services. To do this, we are underpinning our work with a maturity model, which we first introduced in our AI in Tertiary Education Report. This model brings together […]
Introduction Like any field, AI is full of specialist terms. There are quite a few glossaries of AI terms available, but we think it might be useful to create one focused on AI in educational technology – including ed tech specific terms, putting terms in context, and linking to examples. In this post we’ll look […]
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Summer event 2022
Our National centre for AI in tertiary education summer event took place on 24th June 2022. It was an opportunity to show our progress over the last year and share our plans for next year. The day started with an introduction to the work of the national centre for AI in tertiary education. Covering our […]
At the national centre for AI in tertiary education, we have recently launched the first installment in our Podcast mini-series, AI in Education: Pedagogy First. In this first episode, I spoke with Scott Hayden, Head of Digital Learning at Basingstoke College of Technology about how he and his team are using AI to support personalised […]
The national centre for AI in tertiary education aims to help colleges and universities unlock the potential of AI in education. An important first step along this journey is to pin down AI’s potential by identifying how this innovation can add value to the sector. As a starting point, the Centre has developed the following […]