AI in Education Podcast

What does it really mean to lead in the age of AI? In this deeply insightful episode, Dr. Sophie Fenton  from Amicus joins us to explore the human side of AI adoption in education and the workplace. From her unique background spanning classroom teaching, school leadership, university strategy, and corporate consulting, Sophie offers a compelling case for starting with the human, not the tool. We talk about what it means to create intentionally human contexts for AI, how leadership styles need to adapt, and why soft skills are quickly becoming our most powerful asset. Sophie unpacks the concept of "human experience" departments, AI ethics, and why education must return to its philosophical roots if we’re to thrive in a digital future.     Links    • Microsoft Work Trend Index report: https://www.microsoft.com/en-us/worklab/work-trend-index • Sophie referenced “10 of the 15 fastest growing skills are soft skills” infographic that she shared on LinkedIn: https://www.linkedin.com/posts/sophiefenton_skillsontherise-linkedinnews-activity-7309705530044792832-Yg6I   

In this episode of the AI in Education Podcast, Dan and Ray dive into the latest developments shaping the future of AI in learning environments - from vocational colleges to elite universities. All the links to items and research discussed are below! News Australia's Future Skills Organisation and Microsoft launched the FSO Skills Accelerator-AI partnership https://www.futureskillsorganisation.com.au/skills-accelerator-ai/ Microsoft Elevate https://blogs.microsoft.com/on-the-issues/2025/07/09/elevate  Google commits US$1bn for AI training at US universities https://www.innovationaus.com/google-commits-us1bn-for-ai-training-at-us-universities/  CAUDIT Top Ten 2025 https://www.caudit.edu.au/resources/2025-top-ten-report/  South Korea pulls plug on AI textbooks https://www.koreaherald.com/article/10546695  Consumer news reporting on AI in Education ABC https://www.abc.net.au/news/2025-08-13/artificial-intelligence-in-the-classroom-education/105638698 Channel 9 https://www.youtube.com/watch?v=ZGUygg-q0ok https://www.9news.com.au/national/artificial-intelligence-in-schools-productivity-commission-report-national-push-for-teachers-to-use-gen-ai/4e9016dd-5de0-48de-ab64-f637adfbed53 Productivity Commission report that highlights the use of AI in education, including to reduce teacher workload https://www.pc.gov.au/inquiries/current/adaptable-workforce/interim  New DFE AI guidance for schools https://www.gov.uk/government/publications/generative-artificial-intelligence-in-education/generative-artificial-intelligence-ai-in-education  Ofsted's findings on AI in Education https://www.gov.uk/government/publications/ai-in-schools-and-further-education-findings-from-early-adopters/the-biggest-risk-is-doing-nothing-insights-from-early-adopters-of-artificial-intelligence-in-schools-and-further-education-colleges  Research AI tutoring outperforms in-class active learning: an RCT introducing a novel research-based design in an authentic educational setting https://www.nature.com/articles/s41598-025-97652-6  AI tools used by English councils downplay women’s health issues Original paper: https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-025-03118-0 News reporting: https://www.theguardian.com/technology/2025/aug/11/ai-tools-used-by-english-councils-downplay-womens-health-issues-study-finds 

In this episode of the AI in Education Podcast, hosts Dan and Ray welcome back one of their favourite researchers, Dr Anna Denejkina, to unpack her latest study, "Gen Z to Gen AI: The impact, opportunities and challenges of Generative AI for young Australians". This Insight Centre and Student Edge research collaboration, on the use and attitudes to AI by students, explores how young Australians are adopting generative AI, and what they really think about it. From career pivots and skill confidence gaps to plagiarism misconceptions, Dr Denejkina shares powerful insights into the realities behind the headlines. Discover why 30% of Gen Z students are rethinking their career plans, how gender influences AI confidence, and why students are asking for clear, practical guidance on what is, and isn’t, acceptable AI use. The conversation also covers deepfakes, creative industry disruption, and how students themselves are calling for more inclusive and representative decision-making in AI development. If you've ever wondered "How do students use AI?", then this is the episode (and podcast series!) for you.

This episode covers a massive amount of AI-related news and research, especially developments over the past week, including ChatGPT's new "study mode," major platform announcements from Google, Microsoft, and OpenAI, generative video and music tools, and the implications of AI on jobs and education. The episode also highlights a new Stanford GenAI for Education hub and discusses current AI policy and access initiatives globally. News   ChatGPT Study Mode: https://openai.com/index/chatgpt-study-mode/  Simon Willison info on the system prompt for Study Mode: https://simonwillison.net/2025/Jul/29/openai-introducing-study-mode/  Dr Philippa Hardman's LinkedIn post on Study Mode: https://www.linkedin.com/posts/dr-philippa-hardman-057851120_as-a-member-of-openais-educator-advisor-ugcPost-7356234831929696256-OF6k   Google announced “Guided Learning” mode for Gemini https://blog.google/products/gemini/google-ai-pro-students-learning/    Open models by OpenAI https://openai.com/open-models/    Google released Gemini Storybooks https://gemini.google/overview/storybook/   ElevenLabs dropped a new multi-lingual music generation model https://elevenlabs.io/music    OpenAI giving ChatGPT Enterprise to every US Federal Government department for $1 a year https://openai.com/index/providing-chatgpt-to-the-entire-us-federal-workforce/   Microsoft Copilot released for 13+ students  https://techcommunity.microsoft.com/blog/EducationBlog/microsoft-365-copilot-chat-for-students-13/4412957    18 months. 12,000 questions. A whole lot of anxiety. What I learned from reading students’ ChatGPT logs https://www.theguardian.com/technology/2025/jul/27/it-wants-users-hooked-and-jonesing-for-their-next-fix-are-young-people-becoming-too-reliant-on-ai  The Presidential AI Challenge https://orise.orau.gov/ai-challenge/    Research GenAI for Education Hub at Stanford University https://scale.stanford.edu/genai/repository  Working with AI: Measuring the Occupational Implications of Generative AI https://arxiv.org/abs/2507.07935  Prompting Science Report 3: I'll pay you or I'll kill you - but will you care? https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5375404 

In this eye-opening episode of the podcast, hosts Ray and Dan are joined by a remarkable group of students from All Hallows School in Queensland. Part of the student-led series 12, this conversation dives into how teens are really using AI in their schoolwork. And it’s far more sophisticated than you might think. From using Gemini and ChatGPT to find historical sources and generate study guides, to marking their own assignments with AI before submission, these students aren’t cutting corners. They talk openly about how they’re finding smarter ways to learn. The discussion explores ethical concerns like plagiarism, cheating, and data privacy, as well as creative uses of AI in coding, English, and even video production.

From Harvard bots to Aussie classrooms: the state of AI in education In this solo news and research roundup, Ray covers some of the biggest recent stories in AI and education – from high-profile case studies to practical tools for teachers and real concerns from students. Links for what’s in this week's episode: New AI training modules for Australian teachers Education Services Australia has released a set of lesson-ready resources to help teachers guide students in safe, effective AI use – including interactive activities and a certificate aligned with AITSL standards. https://www.digitaltechnologieshub.edu.au/ai/professional-learning/gen-ai-readiness-and-implementation-modules/#GenAI_Module2   Harvard Business School’s chatbot tutor A deep dive into how Harvard embedded a custom AI tutor into its accounting course – used by 75% of students, with a surprising impact on learning and classroom discussion. https://hbsp.harvard.edu/inspiring-minds/ai-tutor-bots-harvard-business-school   Student appeals and the limits of AI detection tools The UK’s higher ed ombudsman has warned universities about relying too heavily on detection software, especially when it comes to vulnerable student groups. OIA article: https://www.oiahe.org.uk/resources-and-publications/latest-news-and-updates/oia-publishes-a-casework-note-and-case-summaries-about-artificial-intelligence-ai-and-academic-misconduct/  Case summaries: https://www.oiahe.org.uk/resources-and-publications/case-summaries/  TES Report: https://www.timeshighereducation.com/news/students-win-plagiarism-appeals-over-generative-ai-detection-tool   ASBA AI Preparedness Survey - June 2025 A recent survey of 50 independent schools shows most are still playing catch-up on AI governance, staff training, and clear policies. https://www.asba.asn.au/public/265/files/National/ASBA%20AI%20Preparedness%20Survey%20Report%20-%20June%202025(1).pdf   NSW Auditor report on universities for 2024 https://www.audit.nsw.gov.au/sites/default/files/documents/Final%20report%20-%20Universities%202024.pdf   Canvas and ChatGPT join forces Instructure has announced native AI integration into Canvas LMS, including AI-powered assignments that track learning progress directly into the gradebook. https://www.prnewswire.com/news-releases/instructure-and-openai-announce-global-partnership-to-embed-ai-learning-experiences-within-canvas-302511709.html  Scientists reportedly hiding AI text prompts in academic papers to receive positive peer reviews Reports emerge of researchers embedding hidden prompts into papers to game AI peer review tools. https://asia.nikkei.com/Business/Technology/Artificial-intelligence/Positive-review-only-Researchers-hide-AI-prompts-in-papers  https://www.theguardian.com/technology/2025/jul/14/scientists-reportedly-hiding-ai-text-prompts-in-academic-papers-to-receive-positive-peer-reviews    What students really think New surveys from the UK and Australia show that students are keen to use AI, but feel underprepared and unsupported. They want more guidance – not just for study, but for their future careers. UK: https://www.gov.uk/government/publications/parent-pupil-and-learner-voice-omnibus-surveys-for-2024-to-2025/parent-pupil-and-learner-voice-march-2025#sec-gen-ai Australia: https://aiinhe.org/ 

AI, Assessments & A-Graders: A Student's POV What happens when AI tools like ChatGPT and Google’s VEO3 land in the hands of curious, creative high schoolers? In this episode, we talk with Caitlyn, a Year 11 student from Sydney, who gives us a front-row seat to how students are really using AI in school right now. From refining English essays with high-modality language to producing eye-catching videos that bring creative writing to life, Caitlyn shows how AI has become her on-demand study buddy, grammar coach, and even a research assistant. She unpacks how her school’s “traffic light system” guides ethical AI use and reveals what happens when students take ownership of the tools and the learning. Caitlyn’s perspective offers a grounded, inspiring look at the future of learning with AI. Links Caitlin's VEO3 video for the creative writing exercise, that created the change momentum. VEO3 (Google’s video AI tool) - only currently available to paid Gemini or Flow subscribers. The AI Assessment Scale (which Caitlin calls the Traffic Light System, although the AIAS team have moved away from that model a bit) for appropriate AI use in assignments. Ray mentioned a study comparing student trust in feedback from teachers vs. AI

Union-Powered AI: PD Meets Big Tech This solo news-and-research roundup unpacks a blockbuster fortnight for AI in education, highlighting a landmark partnership between U.S. teacher unions and tech companies that could rewrite professional development. Headlines AFT × UFT × Microsoft/OpenAI/Anthropic – launch the National Academy for AI Instruction (US $23 M) to train 400,000 educators as AI-savvy professionals Announcement: https://www.aft.org/press-release/aft-launch-national-academy-ai-instruction-microsoft-openai-anthropic-and-united AI Instruction website: https://aiinstruction.org/  Google “Gemini for Education” – 30 generative tools for lesson design, rubrics & more (ISTE 2025 reveal).  Blog post: https://blog.google/outreach-initiatives/education/gemini-iste-2025/ 21 page announcement PDF: https://services.google.com/fh/files/misc/gfe_launch_guide_iste2025.pdf  White House “EDAI” pledge – 67 “AI Education & Workforce Champions” commit resources for schools https://www.whitehouse.gov/edai/  And a questioning post from James O'Hagan Microsoft Elevate & AI Economy Institute – New Microsoft philanthropy arm plus research fellowships on AI, work & learning. Microsoft Announcement: https://blogs.microsoft.com/on-the-issues/2025/07/09/elevate/ Microsoft Elevate: https://www.microsoft.com/en-us/elevate  AI for Good Lab: https://www.microsoft.com/en-us/research/group/ai-for-good-research-lab/ai-economy-institute/  Research spotlights Teaching for Tomorrow (Walton Foundation × Gallup): 60% of U.S. teachers using AI save 5.9 hrs/week, yet only 19% of schools have policies. https://www.gallup.com/analytics/659819/k-12-teacher-research.aspx  Simple Techniques to Bypass Gen-AI Detectors (Perkins et al., 2024): popular text detectors flag 50% of genuine student work as AI. https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-024-00487-w  Jisc briefing: even 1% false-positive rates could falsely accuse 4,800 papers/year at a 20 k-student university. https://nationalcentreforai.jiscinvolve.org/wp/2025/06/24/ai-detection-assessment-and-learning-to-use-electricity/  Riding the Tiger of AI Feedback (Aus. multi-uni, 2025): 50% of students already use AI for feedback; teachers still ranked “more helpful.” https://aiinhe.org/wp-content/uploads/2025/03/2025-hedx-feedback-survey-insights.pdf   

Episode Series 12 Episode 8 AI by Students, for Students In this special episode of the AI in Education Podcast, recorded live at the AIS NSW ICT Management and Leadership conference, Dan and Ray chat with two forward-thinking school leaders about how students are using AI in transformative ways. First up, Thomas Blackwood, Head of ICT at Fahan School in Tasmania, shares how his school built its own AI tool – "Annabelle" – to give students a tailored, ethical, and effective AI tutor. From exam revision to building study guides, students are using it creatively and proactively, showing just how valuable thoughtful AI implementation can be. Then, Jake Turnbull, Digital Learning Leader at Pymble Ladies College, discusses empowering students through leadership and voice. From running AI professional learning for 500 teachers to organising student-led symposiums, Jake highlights how students are already shaping the future of AI in education. Links During the conversation we mentioned: Alpha School in Austin, Texas: https://www.alphaschools.org Khan Academy's AI Tutor Khanmigo: https://www.khanacademy.org/khan-labs

After starting with an existential crisis - "Are we basically doing the AI equivalent of a maths calculator podcast from the 1970s?" - in this news and research update, Dan and Ray unpack the latest developments in AI and education. Starting with China’s decision to shut down AI tools during national exams, they then revisit NSW’s EduChat chatbot, now in widespread use, with compelling data on time savings for teachers and learning benefits for students. The hosts dive into fresh research from the LEGO Foundation and Microsoft, both highlighting how young students engage with generative AI—and the equity and creativity issues that come with it. They also tackle the viral MIT study suggesting AI could cause "cognitive debt" and discuss why such claims should be taken with academic caution. Finally, Dan and Ray trace the recurring media fear that each new technology - from books to bicycles - has been accused of making us stupid. As always, they bring wit, warmth, and real insight into how AI is shaping education. Links and references for the studies, news and research discussed: News China shuts down AI tools during nationwide college exams [Bloomberg, The Verge] AI is in every NSW public school classroom. Is that a good thing? Anthropic's copyright case with Claude Research Lego research into children's use of ChatGPT [Project website] New Microsoft report on AI in Education announced at ISTE Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task [Project website - Natalie Kosmina's LinkedIn announcement post - Time news story] And finally For your enjoyment, Donald Clark's "Sisyphean nature of moral panics against new technology" aka What's making us dumb this time? And if you want more enjoyment like Donald's article, then you'll love the Pessimists Archive on Twitter or their newsletter      

We're halfway through Season 12 - the Student one - and in episode 6 you finally get to meet Megan (Year 7) and James (Year 11). Long-term listeners will have heard co-host Dan talking about how his own children use AI, and so now you can hear their perspectives. Dan asks both of them share how they and their friends use AI in school and outside. Enjoy the honest revelations!

In this news and research-packed episode, Ray and Dan dive deep into the AI highlights from EduTech 2025 in Sydney - reflecting on the vibe, standout presentations, and the surprisingly light AI presence on the expo floor. They unpack major news from the UK’s Department for Education, OpenAI’s model pricing shake-up, and raise serious red flags over Meta AI’s privacy approach. The duo also tackles the big questions educators face: is AI destroying the planet? Can we trust AI with student data? And what do students themselves think? Featuring insights from two key research pieces - Australia’s "From Gen Z to Gen AI" and Jisc’s UK-based "Student Perceptions of AI 2025" - this episode reveals how students are using AI, what they’re worried about, and why institutions need to catch up. Links: UK Government's Policy Paper "Generative AI in Education" OpenAI releases o3-pro (Model Release Notes) and slashes the cost of o3-pro for developers, compared to o1-pro OpenAI forced to retain all conversation logs by the New York Times lawyers, and details of OpenAI's response Meta.ai privacy approach - so far, only covered by Crikey Energy/water usage of ChatGPT In Sam Altman's blog  he said "the average query uses about 0.34 watt-hours, about what an oven would use in a little over one second, or a high-efficiency lightbulb would use in a couple of minutes." (about the same as a Google search) Dr Karen Boyd's excellent blog post we discussed: "Ethics & LLMs: Sustainability" which also contains the great comparison charts for electricity and water use for common activities. Details on Karen's upcoming book, Amplify Good Work Research on students' AI attitudes and use Dr Anna Denejkina's research "From Gen Z to GenAI: The impact, opportunities and challenges of Generative AI for young Australians" JISC's research "Student Perceptions of AI 2025", from Sue Attewell

Students as AI Innovators In this inspiring episode of the podcast, hosts Ray and Dan speak with Brett Moller, Director of Knowledge Services / Head of Creative Industries at St. Andrew’s Anglican College on the Sunshine Coast. Brett shares how his school is flipping the AI narrative — from fear and compliance to student agency, creativity, and real-world problem-solving. He discusses how students are not only using AI tools but building their own large language models, crafting apps that respond to deeply personal challenges like Parkinson’s disease and anxiety, and collaborating with local industry on meaningful tech projects. From AI-powered research assistants to empathy-led app design, Brett’s stories highlight a future where students are not just consumers, but creators of AI solutions. This episode is packed with powerful insights on ethical AI use, teacher transformation, and the evolving role of libraries, educators, and students in the AI era. Learn more about the St Andrew's story: Interview with the winning students St Andrew’s Students Win International Recognition in Apple Swift Student Challenge Eight Aussie students recognised by Apple in their WWDC Student Challenge – Three from the SAME SCHOOL! Discover more about Sandy Robinson, the new St Andrew's Research Assistant St Andrew's Instagram  Links to things mentioned in this episode: The Learner's Apprentice: AI and the Amplification of Human Creativity - Dr Ken Kahn's book GitHub project: MacMind (student-built LLMs)  Apple Swift Student Challenge Microsoft Imagine Cup "Imagine Cup Junior" in a box  

In this episode of the AI in Education Podcast, Dan and Ray dive deep into how students are really using - beyond the hype. They unpack recent findings from the Anthropic Education Report, exploring how students interact with models like Claude for study, writing, and even problem-solving. They discuss the latest sentiment data from a KPMG/University of Melbourne Business School report, "Trust, attitudes and use of artificial intelligence", revealing surprising differences in global optimism and concern about AI. (See the chart below, which isn't in the report, but Ray's creation from Figure 15) Plus, they share updates from Google I/O and Microsoft Build, highlight emerging trends in multi-agent systems, and reflect on how AI tools like VO are reshaping content creation. From skeptical spouses to the evolving role of educators, this episode blends data, insight, and laughs.

In this episode of the AI in Education Podcast, hosts Ray and Dan kick off Series 12 with a powerful focus on students—how they learn, what they need, and how AI is shaping their academic journeys. Joining them is Nina Huntemann, Chief Academic Officer at Chegg, who shares revealing insights from Chegg.org’s 2025 Global Student Survey, which polled over 11,000 students across 15 countries. Nina dives into how students are turning to generative AI tools like ChatGPT more than their professors, not out of laziness but to fill gaps in clarity, access, and support. The trio explores the need for AI that’s student-specific - not just curriculum-aligned - and the importance of pedagogical design in educational tech. They also tackle key issues of equity, mental health, and the real-world skills students want for future workplaces. Links: Chegg.org Global Student Survey 2025 Anthropic Education Report: How University Students Use Claude  

New Series Alert - all about students In the kickoff episode of Series 12, Dan and Ray set the stage for a deep dive into AI from the student's perspective. Why are students confused about AI? How are they actually using it - and how should they be using it? The hosts explore the idea that AI can act as a tutor, a teacher, or a shortcut (a "cheater") and reflect on how this plays out in real classrooms and learning experiences. They also caught up on plenty of news this week - transdisciplinary learning models, new AI education policies from countries like China and the UAE, and how major tech players like Microsoft and Google are adapting their tools for younger learners. The episode also highlights a new meta-analysis on ChatGPT’s effect on student learning. UAE AI Curriculum Changes China AI Curriculum Changes Microsoft's new announcement on Microsoft 365 Copilot for students 13+ The meta analysis paper is The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis Finally, there's two things we ask you, the listener, for in this episode: If you haven't already, pop into your podcast app and give us a rating and review Help shape this season by connecting the podcast with students and researchers who can share insights into real-life student experiences with AI Have feedback or want to get involved? Email us at hosts@aipodcast.education

In this special solo-hosted episode, Ray is joined by Dr. Mike Seymour from the University of Sydney, recorded live at the 2025 AI in Higher Education Symposium. You can find Mike through LinkedIn and the University of Sydney Mike shares captivating insights from his work in digital humans - lifelike AI avatars that can support learning, healthcare, and emotional wellbeing. From using VR to train veterinary students with virtual sheep, to exploring how emotionally intelligent digital tutors can transform how students ask questions, this episode dives deep into the practical, human-centered future of AI. Mike draws on his background in Hollywood visual effects and his current research to make a compelling case: AI isn't a single tool - it's a system, a landscape, a way to augment and extend human capability. The conversation ranges from the ethics of AI in healthcare to using AI for dubbing films, always returning to a central theme: how technology can support, not replace, people. And when you've listened to this podcast, jump across to Mike's two podcasts - the fxpodcast and thevfxshow - which both take you on a journey to Hollywood and visual effects There are so many resources that you can read to dive into this story further: Mike's fxguide25 website Motus Lab - researching AI Digital Humans Mike's portfolio on Vimeo Look at the timestamps on the videos - amazing videos from 5 years ago that we can now do in consumer apps, like this Mike vs Mike Test and the Pinscreen Test video - amazing that it's gone from bleeding edge to available in everyday consumer apps in half a decade! Whether you're an educator, technologist, or just curious about the future, this episode is packed with ideas that will stick with you.  

In this episode of the AI in Education Podcast, Ray and Dan return from a short break with a packed roundup of AI developments across education and beyond. They discuss the online launch of the AEIOU interdisciplinary research hub that Dan attended, explore the promise and pitfalls of prompt engineering—including the idea of the “Uber prompt”—and share first impressions of the OpenAI Academy. Ray unpacks misleading headlines about Bill Gates “replacing teachers” with AI and instead spotlights the real message about AI tutors. They also dive into the 2027 AI forecast report, the emerging impact of the EU AI Act, and Microsoft's latest Work Trend Index, which introduces the idea of "agent bosses" in the AI-driven workplace. And then round off with Ben Williamson’s list of AI fails in education and a startling story of an AI radio presenter nobody realised was fake. Here's all the links so you too can fall down the AI news rabbithole 😊 AI in Education at Oxford University interdisciplinary research hub  https://aieou.web.ox.ac.uk/  OpenAI Academy https://academy.openai.com/home  Introduction to ChatGPT Edu: Your AI-Powered Academic Companion https://academy.openai.com/home/videos/introduction-to-chatgpt-edu-2025-03-20  AI for Academic Success: Research, Writing, and Studying Made Easier https://academy.openai.com/home/videos/ai-for-academic-success-research-writing-and-studying-made-easier-2025-03-20  Mastering Prompts: The Key to Getting What You Need from ChatGPT https://academy.openai.com/home/videos/mastering-prompts-the-key-to-getting-what-you-need-from-chatgptmastering-prompts-the-key-to-getting-what-you-need-from-chatgpt-2025-03-20  AI 2027 Forecast Report  https://ai-2027.com/  2025 EDUCAUSE Students and Technology Report: Shaping the Future of Higher Education Through Technology, Flexibility, and Well-Being https://library.educause.edu/resources/2025/4/2025-educause-students-and-technology-report  Melbourne & KPMG AI Sentiment Survey https://kpmg.com/au/en/home/insights/2025/04/trust-in-ai-global-insights-2025.html  https://www.innovationaus.com/australians-the-most-pessimistic-in-the-world-on-ai/  Microsoft Work Trend Index 2025 https://www.microsoft.com/en-us/worklab/work-trend-index/2025-the-year-the-frontier-firm-is-born  Ben Williamson’s AI Fails in Education on LinkedIn This links to all the individual stories, so head to Ben's story, give it a like, and then click through to the warnings from the stories! https://www.linkedin.com/posts/ben-williamson-7a501b329_top-ai-in-education-fails-so-far-millions-activity-7318038426270806016-pIzp  Australian Radio Network digitises diversity with an artificially generated Asian female presenter https://www.startupdaily.net/topic/artificial-intelligence-machine-learning/eye-thy-with-my-ai-australian-radio-network-digitises-diversity-with-an-artificially-generated-asian-female-presenter 

Series 11, Episode 11 Designing the Future: Learning Designers Meet AI with Minh Huynh and Cory Dal Ponte In this episode of the AI in Education Podcast, we bring you two powerful conversations that explore the evolving role of learning designers and their growing impact in the world of AI-enabled education. Together, these two interviews reveal the strategic and practical power of learning design in an AI-driven future. First, we speak with Minh Huynh from The University of Sydney Education Innovation team, who shares her journey from being a student of AI to leading its integration within a large first-year biology course. She offers a compelling look into the behind-the-scenes work of learning designers—building trust with academics, identifying barriers to student learning, and co-creating feedback tools that make a measurable impact. In the second half, we’re joined by Cory Dal Ponte from the University of Melbourne. Cory is both a learning designer and a PhD researcher focused on AI literacy. He walks us through some of the GPT-powered tools he’s built - from bots that rewrite learning outcomes in Bloom’s Taxonomy to AI-driven simulated patients for healthcare education - and unpacks what it really means to be AI literate in education today. His custom GPTs are all available for you to use through ChatGPT Bloomify – Converts unrefined learning goals into Bloom’s Taxonomy-aligned outcomes  Sim Patient Builder – Helps create simulated patient cases for healthcare education to use with Sim Patient  UnderstandMe: Supports creating key understandings from topic aims using the Understanding by Design framework.  Corey also mentioned two good resources for thinking about AI competency: UNESCO’s AI Competency Framework for Educators Conceptualizing AI literacy: An exploratory review, Ng et al. (2021)  And finally, you can find some other resources from Cory on his linktree

This week, Dan and Ray dive into a whirlwind of AI news shaking up the education world. From $40K private schools with AI tutors to universities reporting chatbot-driven grade boosts, they unpack what’s hype and what’s happening. Plus, they explore the ethics of AI image generation, energy use in data centers, and whether GPT-4.5 is now officially more human than human. News Alpha School - AI school in Texas News report: https://www.foxnews.com/media/texas-private-schools-use-ai-tutor-rockets-student-test-scores-top-2-country https://alpha.school/ Macquarie University students’ exam scores up by nearly 10 per cent thanks to new AI-powered chatbotMicrosoft case study: https://news.microsoft.com/source/asia/2025/03/24/macquarie-university-students-exam-scores-up-by-nearly-10-per-cent-thanks-to-new-ai-powered-chatbot/ Building an AI-Enabled Workforce: Impacts for Finance, Technology and Business Education and Training  https://www.futureskillsorganisation.com.au/building-an-ai-enabled-workforce-impacts-for-finance-technology-and-business-education-and-training The Future of Jobs Report 2025 from World Economic Forum  https://www.weforum.org/publications/the-future-of-jobs-report-2025/digest/ OpenAI Academy https://academy.openai.com  Anthropic launched Claude for Education https://www.anthropic.com/news/introducing-claude-for-education  Open AI image generation announcement https://openai.com/index/introducing-4o-image-generation/    Report: Australia’s renewables can power AI and slash energy costs https://www.innovationaus.com/australias-renewables-can-power-ai-and-slash-energy-costs/  UTS Transdisciplinary Innovation course https://www.uts.edu.au/for-students/transdisciplinary-innovation  Research The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5188231  Large Language Models Pass the Turing Test https://arxiv.org/abs/2503.23674  News report: https://futurism.com/ai-model-turing-test