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Tag: ChatGPT

Using AI in Education: A Student Voice

Screenshot showing different results for weather in Egypt on Google and ChatGPT
Screenshot of a search query in Google and ChatGPT

A second session from the University of Kent on AI / ChatGPT, this time student-led. It was good to hear the student voice on these developments, and I found it reassuring that they are identifying the same issues and raising the same concerns as staff. More than one of the student presentations talked about how ChatGPT is already displacing Google and other search engines as the first place they are going to find answers. Like in the screenshot above, which shows the difference in results when searching for the temperature in Egypt from Google on the left, where you get a list of links to follow through, and ChatGPT on the right which provides a far more detailed answer in a written form. The problem is, as identified in one of the presentations but not the other, is that there is no way to verify the data which ChatGPT is presenting as truth. With the Google results you can evaluate the sources and verify against others; ChatGPT is a black box.

There was another good presentation from a student at Northumbria who has done some early research with students who have used ChatGPT to find out why and what they are using it for. The results being that they are mostly using it to check their own knowledge (problematic if you can’t trust ChatGPT to give you true answers), and to generate ideas. They are also using it outside of education to, for example, help write CVs and job applications. This makes me feel like we are always going to be on the defensive, reactive as one student said. While the education sector tries to grapple with the technology and debates banning it on one hand and thoughtful ethical use – while protecting academic integrity – on the other, other areas of society plough on regardless and heedless.

In another presentation a student talked about experimenting with ChatGPT to produce a response to one of their assignments and, echoing Margaret Bearman’s point from the teacher led session last month, they found that the result lacked critical analysis, and believe it would have been a clear fail.

I was pleased to note that ethical issues were being raised by students, though largely in the context of equitable access. With GPT 4 and priority access going behind a paywall, the students who can afford to use it will, and those who can’t will find they have another new and innovative way of being disadvantaged. How long before we see the first university or college purchasing a license for all of their staff and students?

Once again all of the presentations were recorded and are available as a YouTube playlist.

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ALT North East User Group: March 2023

Various responses on Padlet showing our thoughts on AI. It's a tad negative.
A screenshot from Padlet showing our thoughts on generative AI. It’s a tad negative.

We’re getting back into a stride now, with the second meeting of the academic year at Teesside. After introductions and updates from each of the core university groups, Malcolm from Durham kicked us off with a conversation about Turnitin and how we all feel about it. From a survey of the room, most of us seem to be using it rather apathetically, or begrudgingly, with a few haters who would love to be able to do away with it, and no-one saying they actively like the service. Very revealing. So why do we all keep on using it? Because we all keep on using it. Turnitin’s database of student papers pulls like a black hole, and it will take a brave institution to quit the service now. Of note was that no-one really objected to the technology itself, especially originality reporting, but rather their corporate disposition and hegemonic business model.

Emma from Teesside then talked about their experience of being an Adobe Creative Campus, which involves making Adobe software available to all staff and students, and embedding it into the curriculum. Unfortunately, Emma and other Teesside colleagues noted the steep learning curve which was a barrier to use, and the fact that content had to sit on Adobe servers and was therefore under their control.

Next up was my partner in crime, Dan, reporting on Sunderland’s various efforts over the years to effectively gather student module feedback. This was a short presentation to stimulate a discussion and share practice. At Newcastle they have stopped all module evaluation, citing research on, for example, how female academics are rated lower than male. This has been replaced with an ‘informal check’ by lectures asking students how the module is going, are you happy, etc. They are being pushed to bring a formal system back due to NSS pressures, but are so far resisting. At Durham they are almost doing the opposite, with a dedicated team in their academic office who administer the process, check impact, and make sure that feedback is followed up on.

Finally after lunch, we had a big chat about that hot-button issue that has taken over our lives, the AI revolution! It was interesting for me to learn how Turnitin became so dominant back in the day (making it available to everyone as a trial, and getting us hooked…), and the parallels which can be drawn with their plans to roll out AI detection in the near future. Unlike their originality product which allows us to see the matches and present this to students as evidence of alleged plagiarism, we were concerned that their AI detection tool would be a black box, leaving wide open the possibility of false accusations of cheating with students having no recourse or defence. I donโ€™t think I can share where I saw this exactly, but apparently Turnitin are saying that the tool has a false positive rate of around 1 in 100. That’s shocking, unbelievable.

No-one in the North East seems to be looking at trying to do silly things like ‘ban’ it, but some people at Durham, a somewhat conservation institution, are using it as a lever to regress to in-person, closed-book examination. Newcastle are implementing declarations in the form of cover sheets, asking students to self-certify if / how they have used AI writing.

There were good observations from colleagues that a) students are consistently way ahead of us, and are already sharing ways of avoiding possible detection on TikTok; and b) that whatever we do in higher education will ultimately be redundant, for as soon as students enter the real world they will use whatever tools are available in industry. Better that we teach students how to use such tools effectively and ethically in a safe environment. As you can see from the Padlet screenshot above, our sentiments on AI and ChatGPT were a tad negative.

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Teaching with ChatGPT: Examples of Practice

Some examples of what ChatGPT is, and isn't; it is a large language model, it is not sentient!
Screenshot from one of the presentations outlining what ChatGPT is and is not: it is not human, not sentient, and not reliable!

This session on the robot uprising was facilitated by the University of Kent, and in a welcome contrast to some of the other sessions I have been to on AI recently, this was much more positive, focusing on early examples of using ChatGPT to enhance and support teaching and the student experience.

Some highlights were Maha Bali from the American University in Cairo who argued that we need cultural transparency around this technology as people are going to use it regardless of whatever regulations are put in place. This was echoed by some of the other presenters who noted that after graduation, when students enter industry, they will use, and be expected to use, any and all available relevant technologies. Someone else in the chat also noted that if you ban AI writing at university, then one outcome is going to be that students will only use it for cheating. So good luck, Cambridge. On transparent, ethic use, Laura Dumin from the University of Central Oklahoma talked about a new process they have implemented which asks students to declare if they have used AI tools to help with writing, and highlight which text has been AI generated so academics can clearly see this.

Some presenters had suggestions around re-focusing assessments along the lines of what ChatGPT can’t do, but which humans can. Some of these I feel are short term solutions. One person, for example, talked about how ChatGPT is generally better at shorter pieces of writing, so they have changed their assessments from 3x 800 word assessments throughout the year to 1x 2,000. Debbie Kemp at Kent suggested asking students to include infographics. I think these suggestions are going to work for now, but not in the long term. And the long term here isn’t even very long, given the pace of technological developments. By the time you could get changes to assessment through a programme board and in place for students, the technology may well have rendered your changes moot.

I think a better idea is around including more critical reflection from students. Margaret Bearman from Deacon University in Australia made the point that AI is not good at providing complex, context sensitive value judgements, and that I think is going to be a harder barrier for AI to overcome. Neil McGregor at the University of Manchester talked about this in a slightly different form. Instead of having students write critical reflections, they are now generating those with ChatGPT and asking the students to analyse and critique them – identifying what parts of the AI text they agree with, and where are the weaknesses in the arguments presented.

All of these sessions were recorded and are available on YouTube.

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UK HE’s Thoughtful Response to Robot Writing

Screenshot of three Borg drones from Star Trek
Am I implying an equivalence between The Borg and ChatGPT?

There’s no escaping the robots, resistance is futile. ChatGPT has been a gathering storm since the back end of last year, and Sunderland cannot escape the pull. However, we need to learn more about this and related technology in order to be able to be able to provide a thoughtful and measured response to it for our staff and students. To which end, I signed up for this session drawing together senior academics from across UK HE to share thoughts and experience. I have a few more such sessions coming in the next few weeks, so I’ll wait and share my thoughts in a dedicated post when I have the time and space to synthesis them.

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