TeachAI | Homepage. Ezra Klein: The Education Shock. UNESCO AI Competencies: Students & Teachers Spreadsheets – Wayfinder Learning Lab – Stephen Taylor. A quick post to share a big job, on exporting the UNESCO AI Competencies for Students Framework from the original pdf publication to a spreadsheet. Update: I’ve added the teachers’ competencies too (original pdf here). Update: I’ve added the OECD Student AI Literacies as well (original here). Jump to the sheet here. The source documents are excellent, and you should read them before using this. I was aiming to get the whole framework as an accessible spreadsheet, as part of wider competency alignment in my own work, mapping out our Profiles of WAB Alumni, but I figured it was worth its own Saturday side-quest. With some AI help and a lot of thinking and editing, I wanted to take the Domains (Human-Centred AI, Ethics of AI, AI Techniques & Applications, and AI System Design), at the Understand, Apply & Create levels, and present the content as a spreadsheet to include the Competencies, Curricular Goals and Suggested Pedagogical Approaches.
OECD AI Literacies for Students Graphics in Chinese. Anthropic report on use of AI by students. Anthropic Education Report: How University Students Use Claude \ Anthropic. AI systems are no longer just specialized research tools: they’re everyday academic companions. As AIs integrate more deeply into educational environments, we need to consider important questions about learning, assessment, and skill development. Until now, most discussions have relied on surveys and controlled experiments rather than direct evidence of how students naturally integrate AI into their academic work in real settings. To address this gap, we’ve conducted one of the first large-scale studies of real-world AI usage patterns in higher education, analyzing one million anonymized student conversations on Claude.ai. The key findings from our Education Report are: STEM students are early adopters of AI tools like Claude, with Computer Science students particularly overrepresented (accounting for 36.8% of students’ conversations while comprising only 5.4% of U.S. degrees).
Identifying educational AI usage What are students using AI for? AI usage across academic disciplines Limitations. New guide on using generative AI for teachers and schools - Raspberry Pi Foundation. The world of education is loud with discussions about the uses and risks of generative AI — tools for outputting human-seeming media content such as text, images, audio, and video. In answer, there’s a new practical guide on using generative AI aimed at Computing teachers (and others), written by a group of classroom teachers and researchers at the Raspberry Pi Computing Education Research Centre and Faculty of Education at the University of Cambridge. Their new guide is a really useful overview for everyone who wants to: Understand the issues generative AI tools present in the context of education Find out how to help their schools and students navigate them Discover ideas on how to make use of generative AI tools in their teaching Since generative AI tools have become publicly available, issues around data privacy and plagiarism are at the front of educators’ minds.
Teaching students about generative AI tools Generative AI tools and teaching computing Putting a school-wide policy in place. Ocean Prompting Process: How to get the results you want from an LLM - Raspberry Pi Foundation. Have you heard of ChatGPT, Gemini, or Claude, but haven’t tried any of them yourself? Navigating the world of large language models (LLMs) might feel a bit daunting. However, with the right approach, these tools can really enhance your teaching and make classroom admin and planning easier and quicker. That’s where the OCEAN prompting process comes in: it’s a straightforward framework designed to work with any LLM, helping you reliably get the results you want. The great thing about the OCEAN process is that it takes the guesswork out of using LLMs.
It helps you move past that ‘blank page syndrome’ — that moment when you can ask the model anything but aren’t sure where to start. By focusing on clear objectives and guiding the model with the right context, you can generate content that is spot on for your needs, every single time. 5 ways to make LLMs work for you using the OCEAN prompting process 1. Think of this as setting a clear goal for your interaction with the LLM. Maybe you need to: Exploring Generative AI for teaching and learning at DEFI Generative AI Education Conference - Raspberry Pi Computing Education Research Centre. The Digital Education Futures Initiative (DEFI) hosted the inaugural Generative AI in Education conference on 16 and 17 October 2024.
The event took place in Cambridge, a city renowned for its academic heritage, drawing together a diverse group of participants—academics, educators, policymakers, and thought leaders. Over two days, attendees explored the rapidly evolving role of generative artificial intelligence (AI) in education, debating its potential to reshape teaching and learning across all levels. A new hybrid learning paradigm The conference opened with an insightful keynote by Prof Mairéad Pratschle (University of Manchester), who provided context to the current rise of AI, where it is heading and the opportunities this affords education at all levels. Pratschle introduced the concept of a “new hybrid” relationship between learners and technology. A cautionary view on AI in education In contrast, Prof Wayne Holmes offered a more critical perspective. Sign in - Google Accounts. Napkin AI - The visual AI for business storytelling.
AI Insights #16. AI and future of teaching. The AI clip that convinced - and divided - a Baltimore suburb. 20 million pound fraud AI Deep Fake. AI and beginner programmers. Learn about Artificial Intelligence (AI) BBC iPlayer - Royal Institution Christmas Lectures - 2023: Professor Mike Wooldridge - The Truth about AI: 1. How to Build an Intelligent Machine. Studyhall AI. 5 Myths of AI. One Day, AI Will Seem as Human as Anyone. What Then? Education & AI | scottybreaksitdown. Machine Learning & Artificial Intelligence: Crash Course Computer Science #34. How We Decode Ancient Texts With AI And Machine Learning? AI Voice Generator & Realistic Text to Speech Online | PlayHT. D-ID | The #1 Choice for AI Generated Video Creation Platform.
Artificial intelligence could lead to extinction, experts warn - BBC News. Chris VallanceTechnology reporter Artificial intelligence could lead to the extinction of humanity, experts - including the heads of OpenAI and Google Deepmind - have warned. "Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war" it reads. But others say the fears are overblown. Sam Altman, chief executive of ChatGPT-maker OpenAI, Demis Hassabis, chief executive of Google DeepMind and Dario Amodei of Anthropic have all supported the statement.
The Centre for AI Safety website suggests a number of possible disaster scenarios: Dr Geoffrey Hinton, who issued an earlier warning about risks from super-intelligent AI, has also supported the Centre for AI Safety's call. Yoshua Bengio, professor of computer science at the university of Montreal, also signed. 'Fracturing reality' Many AI tools essentially "free ride" on the "whole of human experience to date", Ms Renieris said. Superintelligence efforts 'Be reassured' Paragraphica – Context to image (AI) camera – CreativeApplications.Net. Created by Bjørn Karmann, Paragraphica is a camera that utilizes location data and AI to visualize a “photo” of a specific place and moment. The camera exists both as a physical prototype and an online camera that you can try.
The viewfinder displays a real-time description of your current location, and by pressing the trigger, the camera will create a photographic representation of that description. On the camera, there are three dials that let you control the data and AI parameters to influence the appearance of the photo, similar to how a traditional camera is operated. The camera operates by collecting data from its location using open APIs. Utilising the address, weather, time of day, and nearby places, Paragraphica creates a paragraph that details a representation of the current place and moment. Using a text-to-image API, the camera converts the paragraph into a unique visualization. Inspired by the star-nosed mole, which lives and hunts underground, finds light useless. ChatGPT: US lawyer admits using AI for case research - BBC News. ChatGPT: US lawyer admits using AI for case research - BBC News. Microsoft's Satya Nadella Responds To Concerns About AI.
Microsoft's Satya Nadella Responds To Concerns About AI. Youtube. Using AI, scientists find a drug that could combat drug-resistant infections. Using an artificial intelligence algorithm, researchers at MIT and McMaster University have identified a new antibiotic that can kill a type of bacteria that is responsible for many drug-resistant infections. If developed for use in patients, the drug could help to combat Acinetobacter baumannii, a species of bacteria that is often found in hospitals and can lead to pneumonia, meningitis, and other serious infections. The microbe is also a leading cause of infections in wounded soldiers in Iraq and Afghanistan. “Acinetobacter can survive on hospital doorknobs and equipment for long periods of time, and it can take up antibiotic resistance genes from its environment.
It’s really common now to find A. baumannii isolates that are resistant to nearly every antibiotic,” says Jonathan Stokes, a former MIT postdoc who is now an assistant professor of biochemistry and biomedical sciences at McMaster University. Drug discovery A novel mechanism. AI4SG Lab. Ravit Dotan, PhD on LinkedIn: Gender bias in ChatGPT | 256 comments. Metaverse Fashion Council. 111. THE DARKER SIDE OF AI: RISK, REGULATION & RESPONSIBILITY / Elena Sinel - Nathalie Nahai. In today’s conversation, I speak with Elena Sinel, a multi-award winning social entrepreneur whose mission is to inspire young people across the world to engage in Artificial Intelligence for Impact. A sought-after AI ethicist, policy adviser and keynote speaker, Elena is trusted by global brands and governments to deliver messages that inspire young people and individuals to build responsible AI. Committed to inspiring young people to make a change in their community, country, and economy through passion, agility, teamwork, and expert support, Teens in AI, an initiative that Elena founded, is designed to give young people early exposure to AI that is being developed and deployed for social good.
Launched at the AI for Good Global Summit at the UN in 2018, Teens In AI aims to empower the next generation of ethical AI researchers, entrepreneurs and leaders who will shape the world of tomorrow. Recorded on 17th April 2023. Experience AI. Codepen Learn more about this provider cp_sessionRegisters user behaviour and navigation on the website, and any interaction with active campaigns. This is used for optimizing advertisement and for efficient retargeting. Expiry: 29 daysType: HTTP Eventbrite branch_sessionMeasure wether the user has made any app-downloads on the website, used for statistics and marketing purposes. Expiry: SessionType: HTML branch_session_firstMeasure wether the user has made any app-downloads on the website, used for statistics and marketing purposes. Expiry: PersistentType: HTML mgref [x3]Collects information on user preferences and/or interaction with web-campaign content - This is used on CRM-campaign-platform used by website owners for promoting events or products.
Expiry: 1 yearType: HTTP mgrefby [x3]Collects information on user preferences and/or interaction with web-campaign content - This is used on CRM-campaign-platform used by website owners for promoting events or products. Expiry: SessionType: Pixel. This Person Does Not Exist - Random Face Generator. Moral Machine. ISTE. Experience AI. Introducing Machine Learning to kids « dale lane. Today, I was helping out with a Computing summer school for teachers in London.As part of this, I gave a presentation about machine learning to a room full of school teachers – about what it is, why I think we should be introducing it in the classroom, and how I think we could do that.My slides are on Slideshare, but they might not make a lot of sense by themselves, so I’ll jot down here roughly what I said. This morning I want to talk to you about machine learning. In particular, I want to talk with you about machine learning in the context of education and how it could be introduced in the classroom.
I’m going to try and cover three main points. Firstly, a quick level set on what I mean by machine learning. Then I’d like to talk about why I believe it’s important that we do this. Finally, I want to talk about the practicalities of how we could effectively introduce machine learning in an accessible way. So, let’s start with the what. This is Scratch. Machine Learning is a bit different. The Secretive Company That Might End Privacy as We Know It. [music] michael barbaro From The New York Times, I’m Michael Barbaro. This is “The Daily.” Today: A secretive company promising the next generation of facial recognition software has compiled a database of images far bigger than anything ever constructed by the U.S. government.
The Daily’s Annie Brown speaks to reporter Kashmir Hill about whether the technology is a breakthrough for law enforcement or the end of privacy as we know it. It’s Monday, February 10. annie brown Kashmir, how did this story come to you? Kashmir hill So I got an email. And what would make a facial recognition tool radical? So law enforcement has for years had access to facial recognition tools. And when you read this memo, what do you make of what this company is offering? So I’ve been covering privacy for 10 years, and I know that a technology like this in public hands is the nightmare scenario. This has been a tool that was too taboo for Silicon Valley giants who were capable of building it. Exactly. Right. John Good. Wow. Facial recognition firm faces possible £17m privacy fine. Facebook apology as AI labels black men 'primates' Artificial intelligence will create new kinds of work.
WHEN the first printed books with illustrations started to appear in the 1470s in the German city of Augsburg, wood engravers rose up in protest. Worried about their jobs, they literally stopped the presses. In fact, their skills turned out to be in higher demand than before: somebody had to illustrate the growing number of books.
Fears about the impact of technology on jobs have resurfaced periodically ever since. The latest bout of anxiety concerns the arrival of artificial intelligence (AI). According to the World Bank, more than 5m people already offer to work remotely on online marketplaces such as Freelancer.com and UpWork. Many big tech companies employ, mostly through outsourcing firms, thousands of people who police the firms’ own services and control quality. These numbers are likely to rise. AI will eliminate some forms of this digital labour—software, for instance, has got better at transcribing audio. Working in such “flash organisations” could well be fun.
Youtube. Login • Instagram. Machinelearningforkids schools. AI Machine Learning. STEM. Google Colab. Ahana. Python Machine Learning. Machine Learning. Data science. Hello World issue 16 — Hello World. Hello World issue 12 — Hello World. Calypso. Grade Band Progression Charts – AI4K12. The AI4K12 draft guidelines are organized in grade band progression charts that span K-2, 3-5, 6-8, and 9-12 grade bands.
Three of the five big ideas are currently available for public comment and feedback. Open for Public FeedWe welcome your feedback. Select the progression chart you are in interested in viewing or select Guidelines in the menu bar. Big Idea 1 – PerceptionBig Idea 2 – Representation & Reasoning (Recently Released)Big Idea 3 – Learning Under Development Big Idea 4 – Natural InteractionBig Idea 5 – Societal Impact. English version of the Human vs. Machine! game. AI4K12 – Sparking Curiosity in AI. AI Readiness Webinars for Educators | Professor Rose Luckin's Educate | England. CT 2.0 | 21st Koli Calling International Conference on Computing Education Research. CT 2.0 | 21st Koli Calling International Conference on Computing Education Research.
Teaching Machine Learning in K–12 Classroom: Pedagogical and Technological Trajectories for Artificial Intelligence Education | IEEE Journals & Magazine | IEEE Xplore. Learn Machine Learning. Computing education research seminars: previous seminars. Machine Learning for Kids.