OER Under the Hood Nov 19, 2025 Chat Transcript: The transcript was loaded into NotebookLLM which generated this summary ---------------------- start NotebookLLM Response ---------------------- The provided text is an excerpt from a saved chat log of an online meeting titled "OER Under the Hood," which focused on a project called "Learning With AI." The initial minutes are filled with greetings from a geographically diverse audience, with participants checking in from locations ranging from Canada to China and Ireland to Texas. As the discussion progresses, the chat shifts to sharing links and resources related to generative AI and open educational resources (OER), particularly a Pressbooks publication from Leeds University. Key discussion points include the accuracy and ethical considerations of AI tools like Otter.ai, suggestions for improving the accessibility of OER content, and the semantic debate over whether AI provides "answers" or "responses." The session concludes with thanks and appreciative remarks from attendees regarding the presentation and project work. ----------------------- end NotebookLLM Response ----------------------- For more details on participants, Noterbook LLM was tasked: "List the names of countries mentioned, comma separated, and in alphabetical order" ---------------------- start NotebookLLM Response ---------------------- The names of countries mentioned in the sources, listed comma separated and in alphabetical order, are: Canada, China, Egypt, Ireland, Kenya, Uruguay, USA, and the U.K. (NotebookLLM did not include the U.K. it seemed to confuse it with USA) To provide a breakdown of where these countries were mentioned: * Canada was mentioned in relation to the Sunshine Coast, BC. * China was mentioned as the location of Shanghai. * Egypt was mentioned in relation to Cairo. * Ireland was mentioned in relation to Dublin. * Kenya was mentioned in relation to the University of Embu. * Uruguay was mentioned in relation to Rocha. * USA (or the UK for the United Kingdom) was mentioned multiple times, including references to the UK/England, and various locations in the USA. * The UK (United Kingdom) was mentioned in relation to Leeds, Milton Keynes, Oxford, England, and York. The USA was explicitly mentioned for several locations including Maryland, Virginia (VA), Minnesota (MN), New York (NY), Ohio, Texas, California (CA), Louisiana, Illinois (IL), Pennsylvania (PA), Idaho, Arizona, Florida, Rhode Island, and North Carolina (Raleigh). ----------------------- end NotebookLLM Response ----------------------- The NotebookLLM was tasked with anonymizing names of all chat participants via a prompt: "Make a copy of this transcript where participants names are made private by replacing all letters in a name with an asterisk * except for hosts Chrissi Nerantzi, Alan Levine, Kirstine McDermid, and Jenn Martin" ---------------------- start NotebookLLM Response ---------------------- 09:16:05 From Alan Levine to Everyone: Hello and welcome to OER Under the Hood 09:16:23 From Chrissi Nerantzi to Everyone: Hello everybody :) 09:16:45 From Chrissi Nerantzi to Everyone: Hello everybody :) 09:17:00 From **** ****** to Everyone: Hello from Montgomery County, Maryland! 09:17:02 From ***** ***** to Everyone: Hello from Richmond, VA :) 09:17:03 From **** ********** to Everyone: **** **********, OER Librarian at MNSU-Mankato! 09:17:09 From ****** ****** to Everyone: Hello from Dublin, Ireland 09:17:10 From ********* ******* to Everyone: ********* ******* from Long Island NY 09:17:11 From ***** ****** to Everyone: Hello from Cincinnati Ohio 09:17:11 From ***** ****** to Everyone: Hello from the Sunshine Coast, BC Canada! 09:17:13 From ***** ********** to Everyone: Greetings from Zurich 09:17:15 From ****** ********* to Everyone: Hello! Coming in from Kingsville, Texas! 09:17:16 From *** ***** to Everyone: Hello, everyone! Coming at you from Weed, CA! 09:17:17 From ***** ********* to Everyone: Greetings from Northfield, MN! 09:17:18 From ******* ***** to Everyone: Hello from Baton Rouge, Louisiana! 09:17:18 From ****** ********** to Everyone: From California 09:17:19 From ****** ******* to Everyone: Hi, I am ****** von Berlin 09:17:22 From ****** **** to Everyone: Hello! ****** **** from Springfield, IL 09:17:25 From ***** *** to Everyone: Hello from Ohio Wesleyan U in Delaware, Ohio. 09:17:29 From ***** ** to Everyone: Hello from Shanghai, China 09:17:32 From Chrissi Nerantzi to Everyone: Hello, Chrissi here from Leeds in the UK :) 09:17:34 From *** ************ to Everyone: Hello! From Rocha, Uruguay :-) 09:17:36 From ****** **** to Everyone: Hi all! Penn State, University Park PA 09:17:38 From **** ******* to Everyone: Hello from Boise, Idaho, USA! 09:17:40 From ***** ****** to Everyone: Hello from rainy Phoenix area 09:17:41 From **** **** to Everyone: Hello from Milton Keynes in the UK : ) 09:17:51 From ***** ******* to Everyone: Hello from Oxford, England :-) 09:17:56 From ******* ******** to Everyone: Good morning from Saint Paul, Minnesota (USA)! 09:17:58 From ****** ******* to Everyone: Hello from Embry-Riddle Aeronautical University in Daytona Beach, Florida! 09:18:04 From ****** ****** to Everyone: Good morning and hello from Belleville Ontario 09:18:09 From *** ************ to Everyone: Hi Chrissi! Looking forward to hear you 09:18:14 From ***** ****** to Everyone: Hello from York, UK 🙂 09:18:18 From ***** ***** **** to Everyone: Hello, *****, Cairo, Egypt 09:18:41 From ******* ********* to Everyone: Hello from the River Campus Libraries, University of Rochester 09:18:46 From ****** ****** to Everyone: Hello from Rhode Island, USA! 09:18:51 From ******* ******** to Everyone: Hello, I'm ******* ******** from the University of Embu-Kenya 09:18:52 From Alan Levine to Everyone: Rain in Phoenix, an outbreak of weather as they used too say on the radio when I lived there. 09:18:55 From **** ****** to Everyone: Hello from Houston, Texas, USA! 09:18:55 From **** ******** to Everyone: Hello from Illinois Central College in East Peoria, Illinois! 09:18:59 From ****** ******* to Everyone: Hello from Touro in Harlem, NY 09:19:01 From Chrissi Nerantzi to Everyone: This is the link to the book > https://leeds.pressbooks.pub/learningwithai/ 09:19:05 From ****** ***** to Everyone: Hello from Phoenix, Arizona, USA 09:19:06 From ***** ******** ****** to Everyone: Hi, I'm an AI assistant helping ***** ******** take notes for this meeting. 09:19:09 From ***** ***** to Everyone: Hello from Raleigh, USA! 09:19:19 From ******* ***** to Everyone: Hi, I'm an AI assistant helping ******* ***** take notes for this meeting. 09:19:23 From ****** ********** to Everyone: Hello from Maryland (USA)! 09:19:25 From ***** ***** to Everyone: ***** *****, Penn State University, Pennsylvania 09:20:43 From Chrissi Nerantzi to Everyone: so lovely that you all joined us :) 09:21:46 From Alan Levine to Everyone: https://leeds.pressbooks.pub/learningwithai/ 09:22:59 From Alan Levine to Everyone: The title for today’s topic https://leeds.pressbooks.pub/learningwithai/ 09:23:40 From ******* ******** to Everyone: I love the LEGO metaphor! 💜 09:25:57 From Alan Levine to Everyone: Find Leeds University on the map https://maps.app.goo.gl/8GaohBE6qj766jcH9 09:28:56 From Alan Levine to Everyone: https://leeds.pressbooks.pub/learningwithai/ 09:29:04 From ***** ***** **** to Everyone: also policing and shaming that are happening in the world surrounding AI 09:29:46 From Alan Levine to Everyone: Open Education Week live webcast March 2025 https://oeweek.oeglobal.org/activity/learning-with-ai-student-project/ 09:34:13 From Alan Levine to Everyone: Cover art from better Images of AI! https://betterimagesofai.org/images?artist=AriyanaAhmad&title=AIisEverywhere 09:39:07 From ******* ******** to Everyone: You're in good company not seeing the red navigation bar at the bottom! I recently saw a Pressbook where the back/forward arrows float with the page scroll; I wish we could figure out how to build that into our own Pressbooks (guessing it's a specific template, or that access to the code is restricted to certain administrator roles). 09:39:22 From ********* ******* to Everyone: The podcast is a great addition! To improve accessibility, is it possible to add a transcript of the audio as a link below the podcast? 09:39:59 From Alan Levine to Everyone: I always wished there was top page next/back navigation, especially for titles wth long content. 09:41:43 From ******* ******** to Everyone: Appreciate that students explicitly name the AI tools they've used. While the tools are constantly evolving, at the current time it's particularly helpful to know which tool to start with and which tools students find most helpful for particular task types. 09:41:55 From Alan Levine to Everyone: Leeds University is just getting started with Pressbooks https://leeds.pressbooks.pub/ We heard there are maybe 29 more titles in prep 09:41:57 From Chrissi Nerantzi to Everyone: We are going to do this ***********. Thank you for this observation 09:42:36 From Chrissi Nerantzi to Everyone: *******, I was working for months in Pressbooks before seeing the red bar... 09:46:16 From Alan Levine to Everyone: Alexandra’s Chapter https://leeds.pressbooks.pub/learningwithai/chapter/assignment-planning/ 09:46:34 From Chrissi Nerantzi to Everyone: https://leeds.pressbooks.pub/learningwithai/chapter/assignment-planning/ 09:46:45 From Chrissi Nerantzi to Everyone: This is Alexandra's contribution 09:53:44 From Alan Levine to Everyone: Hello Otter plans! These are chat summaries from otter.ai 09:55:12 From Alan Levine to Everyone: Ruchira’s chapter https://leeds.pressbooks.pub/learningwithai/chapter/assignment-planning/ 09:56:28 From Chrissi Nerantzi to Everyone: https://leeds.pressbooks.pub/learningwithai/chapter/genai-as-a-partner-and-critic/ 09:58:27 From Alan Levine to Everyone: https://generative-ai.leeds.ac.uk/ai-and-assessments/categories-of-assessments/ 09:58:32 From ***** ******* to Everyone: Interested to see how many people are using otter.ai given that my University's Information Security team have it on our do-not-use list for its privacy violations and lack of transparency about use of transcriptions to train the model: https://www.npr.org/2025/08/15/g-s1-83087/otter-ai-transcription-class-action-lawsuit also comments like this one on Reddit: https://www.reddit.com/r/MicrosoftTeams/comments/1kncilf/comment/mvvlkc2/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button 09:58:57 From Kirstine McDermid to Everyone: https://generative-ai.leeds.ac.uk/ai-and-assessments/categories-of-assessments/ 10:00:27 From Chrissi Nerantzi to Everyone: Thank you Kirstine 10:09:37 From ******** ***** to Everyone: We need to stop talking about ai providing « answers » but rather responses 10:09:49 From Alan Levine to Everyone: Some colleagues think Mirage is better than hallucinate https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5127162 10:10:26 From **** ******** to Everyone: Great advice: “Are you sure about that?” 10:10:30 From Chrissi Nerantzi to Everyone: Great point ********. For me it is more about questioning 10:10:41 From ***** ******* to Everyone: Re testing the accuracy of AI results - one good tip a postgrad student at Oxford Brookes gave us was "try out an LLM by asking it questions about a topic you already know well". That way you can get a feel for how accurate its results are and also figure out how best to prompt to get accurate and helpful results. 10:11:24 From ***** ******* to Everyone: "Responses rather than answers" is a good distinction! 10:12:14 From ***** ***** to Everyone: I really love that! It's definitely going into my regular "instruction repetoire". 10:12:31 From ***** ******* to Everyone: I'm never sure about hallucination vs non-hallucination because LLMs are, in fact, always making up everything they respond with. It's just that if you're lucky/prompt well, what they've made up will coincide with reality, if you're unlucky it won't... 10:13:17 From **** ******** to Everyone: A powerful prompt from Ethan Mollick: “Make it better” even multiple times 10:13:25 From Alan Levine to Jenn Martin(direct message): Thanks 10:13:47 From ***** *** to Everyone: I find myself wrestling with the idea of using GenAI for non-expert areas as well as being able to find the mistakes in GenAI -- which would require expertise. If LLM GenAIs are about 80% correct, how do we find the 20% when we're not experts? And, if that's the case, wouldn't it be better to find authoritative sources ourselves and synthesize that information? Finding AI's errors takes less time but far more effort, and building knowledge from sources takes more time (maybe) but less effort. Just something I've been thinking about lately. 10:13:59 From Alan Levine to Everyone: Share the call for students https://app.onlinesurveys.jisc.ac.uk/s/leeds/learning-with-a-i 10:14:44 From *** ******* to Everyone: There is a site where you can evaluate 2 chatbots side by side, and evaluate them, if anyone is interested: https://lmarena.ai/ 10:17:13 From **** ******** to Everyone: 👍 10:17:58 From ****** **** to Everyone: Thank you so much for the wonderful presentation! 10:18:11 From Alan Levine to Everyone: Thanks for joining us! 10:18:13 From ****** ****** to Everyone: Thank you everyone, great work 10:18:17 From *** ***** to Everyone: Thank you so much for sharing this wonderful work. Must run! Loved it so much!! Will be reviewing your wonderful work! 10:18:18 From **** ******** to Everyone: Thanks and great work! 10:18:22 From ***** ***** to Everyone: Thank you! 10:18:39 From ****** ********** to Everyone: Thanks so much! Impressive work. 10:18:49 From *** ************ to Everyone: Thank you! Great webinar, really wonderful project/work! 10:19:15 From Chrissi Nerantzi to Everyone: Thank you *** and all 10:19:42 From ***** ***** to Everyone: Thank you all! Just had the smell of burnt plastic coming out of my car, copilot offered to generate an image after suggesting causes- the image seemed to suggest the engine is in my door. I'm adding it to my examples list of how it can sound reasonable, but that emphasizes the "response rather than answer" idea- it offered to generate the image, I said yes, and that's what I got. Effort put in=effort it put out. 10:20:09 From ***** ***** **** to Everyone: Thank you so much for such a lovely session. 10:20:10 From ******** ***** to Everyone: Hope the chat will be captured as well 10:21:02 From *** ******* to Everyone: @***** the crucial question is exactly what kind of engine is in the door? 😂 10:21:03 From ******** ***** to Everyone: Too good to leave, but no **** 10:21:32 From ***** ***** to Everyone: @*** too right. I suppose next step is to take the door apart- who knows what I'll find! ----------------------- end NotebookLLM Response ----------------------- To gather web addresses mentioned, Notebook LLM was tasked: "Extract a list of all messages that included a web address, listing the name of the site and the URL" It returned the results in a table format, so the prompt was followed up with "Redo the list not as a table, but text with a web name and url on one line each" ---------------------- start NotebookLLM Response ---------------------- The following list extracts the web addresses and the associated site names/topics found in the sources, formatted as requested: Learning with AI Pressbook (The link to the book/topic) https://leeds.pressbooks.pub/learningwithai/ Google Maps (Leeds University Location) https://maps.app.goo.gl/8GaohBE6qj766jcH9 Open Education Week live webcast March 2025 https://oeweek.oeglobal.org/activity/learning-with-ai-student-project/ Better Images of AI (Cover art) https://betterimagesofai.org/images?artist=AriyanaAhmad&title=AIisEverywhere Leeds Pressbooks Homepage https://leeds.pressbooks.pub/ Alexandra’s Chapter / (Learning with AI Pressbook Assignment Planning Chapter) https://leeds.pressbooks.pub/learningwithai/chapter/assignment-planning/ Learning with AI Pressbook (GenAI as a Partner and Critic Chapter) Ruchira’s chapter https://leeds.pressbooks.pub/learningwithai/chapter/genai-as-a-partner-and-critic/ Generative AI at Leeds (Categories of Assessments) https://generative-ai.leeds.ac.uk/ai-and-assessments/categories-of-assessments/ NPR (Otter.ai transcription class action lawsuit) https://www.npr.org/2025/08/15/g-s1-83087/otter-ai-transcription-class-action-lawsuit Reddit (comments regarding Otter.ai) https://www.reddit.com/r/MicrosoftTeams/comments/1kncilf/comment/mvvlkc2/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button SSRN (Some colleagues think Mirage is better than hallucinate) https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5127162 JISC Online Surveys (Call for students) https://app.onlinesurveys.jisc.ac.uk/s/leeds/learning-with-a-i LM Arena (Site to evaluate 2 chatbots side by side) https://lmarena.ai/ ----------------------- end NotebookLLM Response -----------------------