Webinars from Tom Barrett regarding AI for Education — a free webinar series
- Webinar 6 replay
- Miriam Scott – Head of Digital Education at Hillbrook Anglican School, Brisbane, Queensland, Australia.
- Laura Bain – Head of Emerging Technologies and Innovation, Matthew Flinders Anglican College, Sunshine Coast, Queensland, Australia.
- Nicole Dyson – Founder & CEO, Future Anything, Brisbane, Queensland, Australia.
- Webinar 5 replay
- In the fifth free webinar on AI for Education, I am joined by Dean Pearman, Head of Education at Beaconhills College and Tom Oliphant, Head of Technology and Enterprise at St John’s Grammar School. We explore questions about creativity, design and the new skills that are emerging. Join us to invest in your AI Literacy. Expand your toolset, broaden your understanding, and challenge your thinking.
- Webinar 4 replay
- You are watching the fourth free webinar, a dialogue about AI for education with Sophie Fenton, Steve Brophy and hosted by Tom Barrett Building Blocks – key AI concepts to learn. Practical frameworks for navigating the challenges of AI for education. Be part of a dialogue on provocations about AI and human centred education, truth and identity.
- Webinar 3 replay – Claire Amos and Philly Wintle
- Webinar 2 replay – Gemma Rainger and Dr Nick Jackson
- Webinar 1 replay – Chantelle Love, Pip Cleaves and Steve Brophy
Using ChatGPT in Math Lesson Planning — from edutopia.org by Kristen Moore
Artificial intelligence tools are useful beyond language arts classes. Math teachers can use them to save time and create interesting lessons.
Democratic Inputs to AI — from openai.com
Our nonprofit organization, OpenAI, Inc., is launching a program to award ten $100,000 grants to fund experiments in setting up a democratic process for deciding what rules AI systems should follow, within the bounds defined by the law.
AI Canon — from a16z.com (Andreessen Horowitz) by Derrick Harris, Matt Bornstein, and Guido Appenzeller; via The Neuron newsletter
Excerpts:
Research in artificial intelligence is increasing at an exponential rate. It’s difficult for AI experts to keep up with everything new being published, and even harder for beginners to know where to start. So, in this post, we’re sharing a curated list of resources we’ve relied on to get smarter about modern AI. We call it the “AI Canon” because these papers, blog posts, courses, and guides have had an outsized impact on the field over the past several years.
Table of contents
- A gentle introduction
- Foundational learning
- Tech deep dive
- Practical guides to building with LLMs
- Market analysis
- Landmark research results
Generative AI hits Adobe Photoshop!
