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Tag: Generative

Helping Students Develop Critical Thinking Skills When Using Generative AI (Part 2)

Part two of Kent’s Digitally Enhanced Education series looking at how generative AI is affecting critical thinking skills. This week we had stand out presentations from:

Professor Jess Gregory, of Southern Connecticut State University (nice to see reach of the network, well, reaching out), who presented on the problem of mastering difficult conversations for teachers in training. These students will often find themselves thrust into difficult situations upon graduation, having to deal with stubborn colleagues, angry parents, etc., and Jean has developed a method of preparing them by using generative AI systems with speech capabilities to simulate difficult conversations. This can, and has, been done by humans of course, but that is time consuming, could be expensive, and doesn’t offer the same kind of safe space for students to practice freely.

David Bedford, from Canterbury Christ Church University, presented on how the challenges of critical analysis are not new, and that anything produced as a result of generative AI needs to be evaluated in just the same way as we would the results of an internet search, or a Wikipedia article, or from books and journals. He presented us with the ‘BREAD’ model, first produced in 2016, for analysis (see first screenshot for detail). This asks us to consider Bias, Relevance, Evidence, Author, and Date.

Nicki Clarkson, University of Southampton, talked about co-producing resources about generative AI with students, and noted how they were very good at paring content down to the most relevant parts, and that the final videos were improved by having a student voiceover on them, rather than that of staff.

Dr Sideeq Mohammed, from the University of Kent, presented about his experience of running a session on identifying misleading information, using a combination of true and convincingly false articles and information, and said of the results that students always left far more sceptical and wanting to check the validity of information at the end of sessions. My second screenshot is from this presentation, showing three example articles. Peter Kyle is in fact a completely made-up government minister. Or is he?

Finally, Anders Reagan, from the University of Oxford, compared generative AI tools to the Norse trickster god, Loki. As per my third screenshot, both are powerful, seemingly magic, persuasive and charismatic, and capable of transformation. Andres noted, correctly, that now that this technology is available, we must support it. If we don’t, students and academics are still going to be using it on their own initiative, the allure being too powerful, so it is better for us as learning technology experts to provide support and guidance. In so doing we can encourage criticality, warn of the dangers, and encourage more specialised research based generative AI tools such as Elicit and Consensus.

You can find recordings of all of the sessions on the @digitallyenhancededucation554 YouTube channel.

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Helping Students Develop Critical Thinking Skills When Using Generative AI (Part 1)

From the University of Kent’s Digitally Enhanced Education series, a two-parter on the theme of how generative AI is affecting student’s critical thinking skills, with the second part coming next week. We’ve been living with generative AI for a while now, and I am finding diminishing returns from the various webinars and training I have been attending. Nevertheless, there’s always new things to learn and nuggets of wisdom to be found in these events. The Kent webinar series has such a wide reach now that the general chat, as much as the presentations, is a fantastic resource. Phil has done a magnificent job with this initiative, and is a real credit in the TEL community.

Dr Mary Jacob, from Aberystwyth University, presented an overview of their new AI guidance for staff and students, highlighting for students that they shouldn’t rely on AI; for staff to understand what it can and can’t do, and the legal and ethical implications of the technology; and for everyone to be critical of the output – is it true? Complete? Unbiased?

Professor Earle Abrahamson, from the University of Hertfordshire, presented on the importance of using good and relevant prompts to build critical analysis skills. The first screenshot above is from Earle’s presentation, showing different perceptions on generative AI from students and staff. There were some good comments in the chat during Earle’s presentation, on how everything we’ve discussed today comes back from information literacy.

Dr Sian Lindsay, from the University of Reading, talked about the risks of AI on critical thinking, namely that students may be exposed to a narrower range of ideas due to the biases inherent in all existing generative AI systems and the limited ranges of data they have access to, and are trained upon. The second screenshot is from Sian’s presentation, highlighting some of the research in this area.

I can’t remember who shared this, if it came from one of the presentations or the chat, but someone shared a great article on Inside Higher Ed on the option to opt out of using generative AI at all. Yes! Very good, I enjoyed this very much. I don’t agree with all of it. But most of it! My own take in short: there is no ethical use of generative artificial intelligence, and we should only use it when it serves a genuine need or use.

As always, recordings of all presentations are available on the @digitallyenhancededucation554 YouTube channel.

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ALT NE User Group: March 2024

GIF of Jonny 5 reading a book really fast
Now this is the kind of AI I was promised as a kid

The latest ALT North East User Group was hosted at Middlesbrough College, and had a very generative AI heavy agenda. But first, Tamara at Middlesbrough presented on ‘ED Tech and Pedagogy’ which was quite similar to a TEL and pedagogy session I do on our PG Cert, and I picked up a few points that I can integrate into future presentations. Including the argument that it is really Gen Z who are the first true digital natives which will be useful as I still use Prensky’s original talk to explore the idea that different generations approach technology differently.

Next we had a round robin session on how we are approaching AI at our respective institutions. I talked about the in-year changes we made to student regulations in response to the release of ChatGPT, something Middlesbrough College have also done, and Northumbria are using a cover sheet template for student assignments for them to delicate if and how they have used AI to help with their work. Quite a few of us are pressing forwards with Microsoft Co-Pilot now that it is available.

Ross from Durham then presented on an AI chatbot they have created using Cody AI to assist students on a large module where, for various reasons, information is located in different places, including Blackboard and SharePoint. Cody looks interesting. It’s using various models under the hood, I’m sure Ross said models from multiple provides were available, but I only saw OpenAI based ones in their demo. You train the chatbot on your own data which you upload to Cody, and sharing that data and use of the model back with OpenAI is allegedly opt-in. (Perhaps I’m being overly cynical, but I wouldn’t OpenAI on this.)

Finally, after lunch, I presented on something not AI, but EDI – the Equality, Diversity and Inclusion Portal which I have created at Sunderland in partnership with our EDI team in an effort to widen access to our various EDI educational resources.

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