More on Generative AI and education

It is hard to keep up with the avalanche of talks, posts, reports and so on about AI and education, sparked by Open AI's release of Chat GPT and then the many tools which have followed. Talking with teachers in different countries in Europe, I am impressed how many seem to have just quietly got on with it, accepting that AI is there and it is important that their students know how to use it properly and sensibly. Having said that, in Italy Chat GPT remains banned, as it is viewed by the government as being in conflict with the General Data Protection Regulation (GDPR).

The big problem area for institutions is assessment. Joe Wilson's opening speech at the City Of Glasgow College's teaching and learning conference yesterday. Joe Wilson is Head of Digital Skills and his presentation was entitled the 'March of Artificial Intelligence from Tinder to Training in 30 minutes.' The key take aways from his presentation were to:

1. Make you aware of rise of artificial intelligence and implications for education and assessment.

2. Make you aware of a range of tools you can use in your own practice

3. Consider how you should introduce AI to your learners to allow them to use it ethically 

4. Reflect on what it means for policy makers.

Talking about assessment (which he approached as part of professional practice) he said

1 .Ideally make assessment a demonstration of competence.

2. Require personal reflection and insights. 

3. Require that notes and drafts are submitted with the final work. - know your learner’s writing style

He suggested promoting Portfolios and blogs and eliciting reports on specific activities (How I did/achieved this) as well as creating assessments that require Video or oral assessments and seting tasks that require analysis of charts, images, or videos.

All of which would seem a good idea to me, regardless of Generative AI.

You can see the full presentation on Google Docs


Public values are key to efficient education and research

For those of us who have been working on AI in Education it is a bit of a strange time. On the one hand it is not difficult any longer to interest policy makers, managers or teachers and trainers in AI. But on the other hand, at the moment AI seems to be conflated with the hype around Chat GPT. As one senior policy person said to me yesterday: "I hadn't even heard of Generative AI models until two weeks ago."

And of course there's a loge more things happening or about to happen on not just the AI side but in general developments and innovation with technology that is likely to impact on education. So much in fact that it is hard to keep up. But I think it is important to keep up and not just leave the developing technology to the tech researchers. And that is why I am ultra impressed with the new publication from the Netherlands SURF network - 'Tech Trends 2023'.

In the introduction they say

This trend report aims to help us understand the technological developments that are
going on around us, to make sense of our observations, and to inspire. We have chosen
the technology perspective to provide an overview of signals and trends, and to show
some examples of how the technology is evolving.

Surf scanned multiple trend reports and market intelligence services to identify the big technology themes. They continue:

We identified some major themes: Extended Realities, Quantum, Artificial intelligence,
Edge, Network, and advanced computing. We believe these themes cover the major technological developments that are relevant to research and education in the coming years.

But what I particularly like is for each trend the link to to public values and the readiness level as well. The values are taken from the diagram above. As SURF say "public values are key to efficient education
and research."

#AIinEd – Pontydysgu EU 2021-09-20 16:58:58

Photo by Markus Winkler on Unsplash

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