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Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.

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Reading comments under one post — Cristina Şomcutean · AI Research & Models
I have been marking undergraduate dissertations. AI is now everywhere. In some ways it has raised the floor. The weakest dissertations are less obviously weak than they used to be. Literature reviews …
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Victoria Sterling I'm not sure I could be less interested, but thank you.
Integrity Investigator & Data Scientist… AI Research & Models filtered out ⌕ thread
Helen Shaw If students don't provide in-text page numbers, I ask them to resubmit.
Senior Lecturer + Councillor AI Research & Models filtered out ⌕ thread
Paolo Spada Good ideas. I woukd be happy for Masters to be closed book.
Visiting Professor at the London Instit… AI Research & Models filtered out ⌕ thread
Really interesting post, thank you. It does bring into the spotlight what we are trying to achieve and how important the relationships are between learner and facilitator of learning?
Restorative Justice Practitioner & Rese… AI Research & Models filtered out ⌕ thread
Yes, lots of rethinking to do. At the school of collective intelligence in Rabat they are doing a wonderful seminar on AI and learning that I sadly cannot attend and they have been sharing interesting articles on learning in the teams chat I follow while I grade the 30 essays from my class: · AI-induced never-skilling in medical education: · On the opposite side of the debate, the historical development of ‘cognitive offloading’ in education systems · On what we mean by learning: Deescalating the AI Learning Debate - by Nick Potkalitsky
Senior Lecturer at University of Southa… AI Research & Models filtered out ⌕ thread
William Waites I am really currious to hear from the Academic Integrity officers that will work on this wave of assessments and dissertations because the agentic revoluction, claude cowork/code, and OpenAI codex have diffused very recently and they offer a new level of options that are starting to percolate down to students. It is probably a minority of students using them effectively, but I found a few in my narrow sample of dissertations, if you extrapolate from that it should be around 20-30%. And they generate a new level of complexity in academic integrity forensic, as I explained in other replies, they can be used to avoid mechanical fake references, but concept stretching and erronous content hallucination requires manual checking that might slip through, and might actually be harder for the student to spot even if they read the source because they are trusting the AI so much thet they might end up missunderstanding the source.
Senior Lecturer at University of Southa… AI Research & Models relevant value: unclear for: individual_users skeptical unclear ⌕ thread → raw LLM
Frederick S. Ahiabor, PhD I completely agree. The solutions exist, but adopting them requires changes of procedures and behaviour that are institutionalised and are actually at the basis of important business models that generate lots of revenues (the UK masters for foreign students for example).
Senior Lecturer at University of Southa… AI Research & Models filtered out ⌕ thread
Gavin D. in my current sample more than old research is weird open source authors, masters dissertations, and other strange sources. But that is actually very easy to fix by modifying the prompts, and some students that have clearly used AI now have mechanically good references, from good sources, what they quote from them remains sketchy, because the content needs understanding and they do not always spend the time with the source to understand the reference/quote.
Senior Lecturer at University of Southa… AI Research & Models filtered out ⌕ thread
Stefano Caserta really interesting, I oscillate between similar feelings and more positive takes and
Senior Lecturer at University of Southa… AI Research & Models filtered out ⌕ thread
those aren't lit review
Assistant Professor | Political Economy… AI Research & Models filtered out ⌕ thread
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