AI in Education Podcast

What does it mean to put humans first in the age of AI? Recorded at the Flourish Conference, this special episode brings together three school leaders who are using AI in very different ways, and with a common focus on human agency. You'll hear how students are designing their own learning agents, how AI can help teachers make better use of student data while keeping information secure, and how one school is using AI-powered coaching tools to support professional learning and culture change. Across all three stories, a clear message emerges: the most effective AI initiatives aren't replacing people - they're helping students and teachers flourish. Featuring: Alison Perosin (Our Lady of Perpetual Succour, Broken Bay Diocese) Hamish Jefferies (John Therry Catholic College) Renée Williams (The Cathedral College, Rockhampton) A practical look at how schools are building capability, trust and innovation with AI.

What is the purpose of education in an AI-driven world? In this thought-provoking episode of the AI in Education Podcast, Ray and Dan sit down with Pasi Sahlberg to explore one of the biggest questions facing schools, universities, and society today. Drawing on global research, OECD trends, and decades of educational leadership, Pasi explains why traditional measures of success - achievement, credentials, and test performance - may no longer be enough in the age of AI. The conversation explores: Human capital vs human flourishing Why wellbeing and agency matter more than ever The future of assessment and PISA AI's impact on work, learning, and society Why "hope is not a strategy" What schools should prioritise over the next decade The episode also reflects on parenting, teacher accountability, screen time, and the human skills that may become most valuable as AI capabilities accelerate. Referenced in this episode: OECD Education for Human Flourishing. https://www.oecd.org/en/publications/education-for-human-flourishing_73d7cb96-en.html An accidental guru: The making of an education warrior https://www.sciencedirect.com/science/article/pii/S073805932600060X Sir Ken Robinson at TED - Do Schools Kill Creativity? https://www.ted.com/talks/sir_ken_robinson_do_schools_kill_creativity .

Inside Sydney's AI Hub: Building University Automation That Works In this episode, Dan and Ray are joined by Dan Hart, now leading the Automation and Innovation Hub at the University of Sydney. Dan shares how the Hub has evolved from a robotic process automation team into a university-wide service using automation and AI to improve everyday work. With around 400 automated processes running across the university, the team helps staff remove repetitive, time-consuming tasks without taking away the human parts of their roles. The conversation explores practical examples, including AI-powered invoice processing, and how generative AI is changing the software development lifecycle. Dan explains how tools like Cursor and AI-assisted coding are speeding up development, while also raising important questions about security, code quality, workload intensity, and developer wellbeing. The episode also dives into vibe coding, what it means for enterprise systems, and why the future of software development may depend less on hand-writing code and more on communication, problem-solving, and understanding users.

This week's episode explores a defining moment for education in the age of AI. Fresh from a week of major events in Sydney, including the Microsoft AI Summit, Dan and Ray unpack the newly released Castlereagh Statement - a collaboration between 70+ education leaders calling for urgent change across schools, universities, and training systems. Their message is clear: education isn't ready for the speed and scale of AI disruption. But that's only part of the story. We're also seeing a growing pushback on technology in classrooms, with schools limiting screen time and universities questioning device use; while, at the same time, new AI-first models like AI-led tutoring and mastery-based learning are emerging rapidly. Add to that a widening gap between what employers expect and what graduates can actually do with AI, plus billions being invested in infrastructure and skills, and it's clear: something has to change. We also dive into the latest research on AI in teaching, from new peer learning models to rethinking assessment and feedback. This episode connects the dots across policy, practice, and innovation. Resources discussed this week Castlereagh Statement https://castlereagh.ai/ California schools introduce tech limits https://www.theguardian.com/us-news/2026/apr/22/los-angeles-school-district-screen-time Yale considering banning all electronic devices https://www.timeshighereducation.com/news/device-free-classrooms-mooted-yale-plan-rebuild-public-trust Khan TED Institute announced https://blog.khanacademy.org/introducing-the-khan-ted-institute-a-new-approach-to-higher-education/ https://khanted.org/Home LSI: The world's first AI-led university https://lsi.ac.uk/ Pearson/AWS survey of employers re students https://www.pearson.com/en-us/power-of-learning/ai-readiness.html The Pedagogical Promptbook https://edtechbooks.org/promptbook/ Microsoft's $25 billion AI in Australia announcement https://news.microsoft.com/source/asia/features/investing-in-australias-ai-future/ Harvard adds mandatory AI courses to English writing course https://www.thecrimson.com/article/2026/4/23/expository-writing-ai/ Research Papers Think–Pair–Chatbot–Share: AI-Facilitated Peer Learning in Chemistry https://pubs.acs.org/doi/full/10.1021/acs.jchemed.5c00438 Identifying what our students have learned: a framework for practical assessment validation https://doi.org/10.1080/02602938.2026.2620053 Using generative artificial intelligence to reimagine feedback in higher education: a collaborative autoethnography https://www.tandfonline.com/doi/full/10.1080/02602938.2026.2653889#abstract

In this episode, Dan and Ray explore how AI is rapidly reshaping education, workplaces, and policy - often faster than institutions can respond. They unpack new guidance from NSW's NESA on student AI use, highlighting the growing tension between rules, real-world behaviour, and the need for clearer, more consistent policies across education systems. The conversation expands globally with insights from the 2026 Stanford AI Index Report, revealing that while over 80% of students are already using AI, formal education and policy frameworks are struggling to keep pace. The distinction between 'AI in education', 'AI literacy', and 'AI education' becomes critical for understanding what schools and universities could actually be building. They also discuss emerging tools like Adobe Student Spaces, evolving AI workflows using tools like Claude and Copilot, and new data showing Australians are among the most advanced AI users globally. Finally, they revisit "real AI" use cases - specifically wildlife (crocs, turtles and quokkas) detection in Australia - as a reminder that AI's impact extends far beyond chatbots. News items discussed NSW NESA's "Use of Artificial Intelligence by students" rules https://www.nsw.gov.au/education-and-training/nesa/hsc/rules-and-procedures/artificial-intelligence Adobe Student Spaces https://acrobat.adobe.com/studentspaces/home The 2026 AI Index Report from Stanford University Human-Centred Artificial Intelligence (HAI) centre https://hai.stanford.edu/ai-index/2026-ai-index-report Anthropic came Down Under https://www.anthropic.com/research/how-australia-uses-claude https://www.anthropic.com/news/australia-MOU AI crocodile detection trials begin in north Queensland https://www.abc.net.au/news/2026-03-26/ai-crocodile-detection-trials-begin-in-the-wild/106492460 Related stories from the past: Scientists use drones, cloud, and AI to protect Australia's Quokkas https://news.microsoft.com/apac/features/preserving-diversity-with-ai/ Indigenous knowledge and AI help protect baby turtles from predators on Australia's remote Cape York https://news.microsoft.com/apac/features/indigenous-knowledge-and-ai-help-protect-baby-turtles-from-predators-on-australias-remote-cape-york/ Strengthen your research workflow with generative AI https://techcommunity.microsoft.com/blog/skills-hub-blog/strengthen-your-research-workflow-with-generative-ai/4501740

This week's episode dives into a wave of new research shaping how AI is actually being used in education. We explore what works (and what doesn't) when it comes to AI-generated feedback, including why blended, "hybrid" feedback may be the most effective approach - and why more feedback doesn't always lead to better outcomes. The conversation then turns to one of the most important emerging issues: bias in AI systems. From subtle differences in tone to stereotyping based on student characteristics, the research highlights why educators need to be cautious about the data they provide AI tools. "If you use AI to write feedback, it does not treat every student the same way equally." We also talk about the growing evidence around AI tutors - where they outperform humans, where they fall short, and what actually drives meaningful learning gains. Along the way, we tackle major questions around detection, student use, teacher workload, and whether AI can ever replace human connection. The big takeaway? AI is powerful. And how we design, guide, and use it in education matters more than ever. Research Papers discussed this week AI for Feedback Directive, metacognitive, or a blend of both? A comparison of AI-generated feedback types on student engagement, confidence, and outcomes https://doi.org/10.1016/j.caeai.2026.100553 AI assistance in peer feedback provision: Pedagogically sound, but minimally adopted https://www.sciencedirect.com/science/article/pii/S0360131526000291 Marked Pedagogies: Examining Linguistic Biases in Personalized Automated Writing Feedback https://arxiv.org/abs/2603.12471 AI and Bias The Life Cycle of Large Language Models: A Review of Biases in Education https://bera-journals.onlinelibrary.wiley.com/doi/10.1111/bjet.13505 AI Tutors AI tutoring can safely and effectively support students: An exploratory RCT in UK classrooms https://arxiv.org/abs/2512.23633v1 LearnMate: Enhancing Online Education with LLM-Powered Personalized Learning Plans and Support https://dl.acm.org/doi/10.1145/3706599.3719857 Effective Personalized AI Tutors via LLM-Guided Reinforcement Learning https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6423358 Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors https://arxiv.org/abs/2412.09416v1 AI Detection Trusting AI to detect AI? A systematic evaluation of the reliability and robustness of current AIGC detection tools for student academic work (paywalled) https://www.sciencedirect.com/science/article/abs/pii/S0360131526000540 Teacher Workload Shiksha Copilot: Teacher-AI Collaboration for Curating and Customizing Lesson Plans in Low-Resource School https://arxiv.org/pdf/2507.00456v3 Student use The Secret Life of Students project - WonkHE Feb/March 2026 https://wonkhe.com/wp-content/wonkhe-uploads/2026/03/Wonkhe_SLOS2026_Jim_slides.pdf Is a random human peer better than a highly supportive chatbot in reducing loneliness over time? https://www.sciencedirect.com/science/article/pii/S0022103126000417?dgcid=rss_sd_all

In this AI News episode, Dan and Ray explore the fast-moving reality of AI in the workplace - and why many of us might not be as prepared as we think. They unpack a striking story of a KPMG partner fined for using AI to cheat on an AI ethics course, raising questions about assessment, responsibility, and what "cheating" even means in an AI-enabled world. The conversation then shifts to a growing trend: organisations and universities rolling out AI tools like Copilot at scale, and what this means for equity, productivity, and expectations in the workplace. Dan and Ray also dive into new research from Anthropic on the future of work, highlighting which roles are most exposed to AI disruption - and why knowledge work may change more than hands-on professions. They explore the idea that the real shift isn't job loss, but job transformation. Finally, they tackle bold claims from industry leaders that office roles could be automated within 12–18 months, debating what's hype versus reality. This episode challenges a simple narrative: AI isn't just replacing work - it's redefining what valuable work looks like. Links to discussions in the podcast: KPMG partner fined for using artificial intelligence to cheat in AI training test https://www.theguardian.com/business/2026/feb/16/kpmg-partner-fined-artificial-intelligence-ai-training-test Aston University is first Midlands University to provide all staff with Microsoft 365 Copilot and Copilot Chat for Students https://www.aston.ac.uk/latest-news/aston-university-first-midlands-university-provide-all-staff-microsoft-365-copilot-and NY Times: Who's a Better Writer: A.I. or Humans? Take Our Quiz. https://www.nytimes.com/interactive/2026/03/09/business/ai-writing-quiz.html Anthropic and US Government https://www.anthropic.com/news/statement-department-of-war Anthropic future of labour report https://www.anthropic.com/research/labor-market-impacts AI Exposure of the Australian & US Job Market AUS: https://0xtreme.github.io/aus-jobs/ US: https://joshkale.github.io/jobs/ Anthropic Education Report - AI Fluency index https://www.anthropic.com/research/AI-fluency-index The end of office workers as we know it? https://www.msn.com/en-gb/money/other/microsoft-ai-ceo-mustafa-suleyman-issues-18-month-warning-for-office-workers/ar-AA1WvXMi?ocid=entnewsntp&pc=U531&cvid=69957afbd4c747f08d77afaead77499c&ei=56

In this news-packed episode, hosts Ray and Dan explore Purdue University's bold new requirement for all graduates to demonstrate AI competency; and the strategic partnerships between Harvey.ai (the specialised system for the legal profession) and universities in Sydney, Oxford and Chicago. The conversation turns to the "first in the world" move by the University of Manchester to provide Microsoft 365 Copilot to 65,000 students and staff - paying homage to the legacy of Alan Turing. A highlight of the episode is the deep dive into "vibe coding"— the phenomenon of non-programmers using AI to build applications through iterative prompting rather than manual syntax. They also tackle the "AI bubble," the rise of "work slop," and the surprising research showing that Boomers often have a more accurate understanding of how AI works than Millennials. Links & Resources: Purdue University adds 'AI working competency' graduation requirement https://www.purdue.edu/newsroom/2025/Q4/purdue-unveils-comprehensive-ai-strategy-trustees-approve-ai-working-competency-graduation-requirement/ University Law Schools introduce AI partnerships https://www.afr.com/companies/professional-services/sydney-and-uts-law-schools-bow-to-ai-wave-partner-with-harvey-20260119-p5nv49 University of Manchester announces 'world first' AI rollout with Microsoft https://www.manchester.ac.uk/about/news/world-first-ai-partnership-between-the-university-of-manchester-and-microsoft-announced/ "What we are doing about AI at UWA" https://www.uwa.edu.au/news/article/2026/february/what-we-are-doing-about-ai-at-uwa High school students forced to fight false allegations of AI cheating https://www.abc.net.au/news/2025-12-22/ai-detectors-incorrectly-brand-high-school-students-ai-cheats/106138394 New Future of Work Report from Microsoft https://www.microsoft.com/en-us/research/wp-content/uploads/2025/12/New-Future-Of-Work-Report-2025.pdf The Impact of AI on Work in Higher Education https://www.educause.edu/research/2026/the-impact-of-ai-on-work-in-higher-education Americans Have Mixed Views of AI – and an Appetite for Regulation https://www.searchlightinstitute.org/research/americans-have-mixed-views-of-ai-and-an-appetite-for-regulation/ And finally.... From the "Do you ever read T&C's" dept https://www.linkedin.com/posts/matthewwemyss_i-logged-into-ai-studio-yesterday-and-i-ran-activity-7411400400177729536-hgPL

Research Update: 8 papers on AI in Education you need to know for 2026 In this episode, Ray and Dan provide a rapid-fire rundown of the most significant research papers hitting the AI in Education space so far in 2026. After a series of news-heavy episodes, the hosts catch up on the data behind synthetic avatars, grading accuracy, and the psychological biases we hold against AI. Key highlights include: Synthetic Lecturers: Exploring stakeholder perspectives on digital twins and the emotional reaction to the term Deepfake in academia. The Grading Gap: Why ChatGPT tends to be more sycophantic and generous with weak work compared to human instructors. The Disclosure Penalty: New findings from 16 experiments showing why humans devalue creative writing the moment they know AI is involved. Prompting Hacks: The "Groundhog Day" method 😂 Why simply repeating your prompt twice can boost accuracy across 70 different AI systems. Tools for Researchers: Insights into Jasper Roe's research checklist and the "Paper Banana" tool for automating scientific diagrams. Links to all the research papers discussed Can synthetic avatars replace lecturers? An exploratory international study of higher education stakeholder perceptions| https://link.springer.com/article/10.1186/s41239-025-00568-4 Who grades best? Comparing ChatGPT, peer, and instructor evaluations across varying levels of student project quality https://www.tandfonline.com/doi/full/10.1080/02602938.2025.2588682?src= The Artificial Intelligence Disclosure Penalty: Humans Persistently Devalue AI-Generated Creative Writing https://doi.org/10.1037/xge0001889 The older "Transparency Dilemma" paper referenced too: https://www.sciencedirect.com/science/article/pii/S0749597825000172 Asking generative artificial intelligence the right questions improves writing performance https://www.sciencedirect.com/science/article/pii/S2666920X25000141?via%3Dihub When AI only asks: how question-driven dialogue shapes prewriting in the classroom https://www.frontiersin.org/journals/education/articles/10.3389/feduc.2026.1740044/full Prompt Repetition Improves Non-Reasoning LLMs https://arxiv.org/html/2512.14982v1 How to Use Generative AI in Educational Research https://www.cambridge.org/core/elements/how-to-use-generative-ai-in-educational-research/916142E735B678F86A59240BFE651F5C PaperBanana: Automating Academic Illustration for AI Scientists https://dwzhu-pku.github.io/PaperBanana/ https://arxiv.org/abs/2601.23265

In this special "flipped" episode, the tables are turned on your usual hosts, Dan Bowen and Ray Fleming. Interviewed by Dr. Michael Hallissy from (and for) the teachnet Ireland podcast, Dan and Ray step into the guest seats to share the "AI in Education" podcast origin story - from its 2019 "skunkworks" beginnings at Microsoft to its current status as an independent voice in the global edtech conversation. The trio dives deep into how the podcast evolved through the 2022 Generative AI explosion, moving from technical "hoodie" discussions about algorithms to essential human skills like empathy and questioning. They reflect on impactful moments, including the complexities of indigenous data rights and why "AI detectors" are a failing tool for schools. Beyond the backstory, Dan and Ray discuss the widening AI equity gap and their vision for 2026: a focus on "the doers"—the teachers implementing AI in the classroom today. Whether you're a long-time listener or new to the show, this episode offers a rare, personal look at the mission behind the mics. We think this episode might be especially interesting to all the new listeners who have joined us over the last 6 months, who might have some questions about where and when the podcast started, and Ray and Dan's background! We want to especially thank Michael for asking us great questions, and Pat Brennan for being the technical & scheduling mastermind to make it happen. Links & References TeachNet Ireland Podcast: https://teachnet.ie/category/podcasts/ Apple: https://podcasts.apple.com/us/podcast/teachnet-podcasts/id1650615051 Spotify: https://open.spotify.com/show/4hiz0yCcT7D5qs8J85Fl5K Research Paper discussed: "Heads I Win, Tails You Lose"

AI in Education's Christmas Special: Hallucinations, Headbands, and Bad Ideas In this end-of-year Christmas special, Ray and Dan squeeze in one final episode to reflect on a whirlwind year in AI and education - with a healthy dose of festive chaos. They unpack the latest AI news, including Australia's National AI Plan, OpenAI's Australian data centre and teacher certification course, major university rollouts of ChatGPT, and global experiments like nationwide AI tools in schools and targeted funding for AI-assisted teaching. But this episode quickly moves beyond policy and platforms into something more fun - and more unsettling! Ray challenges Dan with a "Real or Hallucinated?" quiz featuring AI products that may (or may not) exist, from focus-monitoring headbands and robot teachers to pet translators and laugh-track smart speakers. Along the way, they explore what these products reveal about current AI practice, the risks of anthropomorphising technology, and why education must keep humans firmly at the centre of learning - even as experimentation accelerates. It's a light-hearted but thoughtful way to wrap up 2025, and a reminder that just because AI can do something, doesn't always mean it should. News Items in the episode Tech companies advised to label and 'watermark' AI-generated content https://www.abc.net.au/news/2025-12-01/ai-guidance-label-watermark-ai-content/106083786 El Salvador announces national AI program with Grok for Education https://x.ai/news/el-salvador-partnership Hong Kong schools to get HK$500,000 (about AU$100K/ US$65K) each under AI education plan https://www.scmp.com/news/hong-kong/education/article/3336600/hong-kong-schools-get-hk500000-each-under-hk500-million-ai-education-plan OpenAI to open Australian hosted service https://www.afr.com/technology/openai-becomes-major-tenant-in-7b-data-centre-deal-20251204-p5nkr4 OpenAI ChatGPT for Teachers foundations course https://www.linkedin.com/posts/chatgpt-for-education_new-for-k-12-educators-chatgpt-foundations-activity-7404242317718487042-He9H La Trobe chooses ChatGPT Education https://www.latrobe.edu.au/news/articles/2025/release/openai-collaboration-drives-inclusion,-innovation Australia's Nation AI Plan https://www.industry.gov.au/publications/national-ai-plan

This week delivered one of the biggest waves of AI news in recent memory - and Dan and Ray unpack what it all means for schools, universities and vocational education. From Microsoft's upcoming Copilot upgrades to Google's jaw-dropping Gemini 3 and Nano Banana Pro image model, the landscape for teachers shifted fast. They explore how these tools are already reshaping lesson design, image generation, student support and academic workflows - and why NotebookLM might quietly be the most important education tool Google has ever released. They also break down newly released case studies from the Australian Industry Group, discuss Claude's expansion through Azure, and look at how sectors like health, logistics and vocational training are adopting AI at speed. In the second half, the episode dives into three significant peer-reviewed research papers - including new evidence of gender bias in AI explanations, emerging AI-pedagogy frameworks, and fresh insights into how students actually use (and feel about) AI in their studies. News Microsoft Microsoft rolling more into the free version of Microsoft 365 Copilot Chat https://www.theverge.com/news/822789/microsoft-copilot-chat-outlook-word-excel-powerpoint Microsoft and NVIDIA invest $15 billion in Anthropic - and Anthropic agree to buy $30B of Microsoft's Azure https://www.anthropic.com/news/microsoft-nvidia-anthropic-announce-strategic-partnerships Google Useful review of Gemini 3 by Ethan Mollick https://www.oneusefulthing.org/p/three-years-from-gpt-3-to-gemini Examples of the infographics we created with Google's NotebookLM can be found on these two links: The podcast episode infographic from the Aaron Driver, of UNE, interview https://www.linkedin.com/posts/ai-in-education-podcast_aiineducation-notebooklm-podcast-activity-7398861734071083008-08GD The podcast series infographic from Series 14 "the Humans of AI" https://www.linkedin.com/posts/rayfleming_aiineducation-podcast-notebooklm-activity-7398515648089468928-vOUS NotebookLM announcements https://x.com/notebooklm/status/1989078069454270649?s=46&t=p57lLRpTCXGNBiwhIjsl7Q Google announce new Gemini certifications for education https://blog.google/outreach-initiatives/education/gemini-certifications-education/ Cogniti 29 teachers sharing their stories about using AI with students https://cogniti.ai/2025-cogniti-mini-symposium-resources/ Anthropic Anthropic partners with Rwandan Government and ALX to bring AI education to hundreds of thousands of learners across Africa https://www.anthropic.com/news/rwandan-government-partnership-ai-education The London School of Economics has provided all students with access to Claude for Education https://www.lse.ac.uk/news/latest-news-from-lse/d-april/lse-partners-with-anthropic-to-shape-the-future-of-ai-in-education OpenAI OpenAI announce "ChatGPT for teachers" for US school teachers - and makes it free until the middle of 2027 https://openai.com/index/chatgpt-for-teachers/ https://help.openai.com/en/articles/12844995-chatgpt-for-teachers First ChatGPT Edu deployment in Australian Vocational Education https://connectweb.com.au/news.aspx?id=1038171&headline=nexted-launches-australias-first-chatgpt-edu-deployment-in-vocational-education Australian Industry Group Report: AI positive for companies, their people and Australian industry https://www.australianindustrygroup.com.au/news/reports/2025/artificial-intelligence-positive-for-companies-their-people-and-australian-industry/ Research Gender equity in GenAI science explanations https://www.ase.org.uk/resources/school-science-review/issue-395/gender-equity-in-genai-science-explanations https://www.linkedin.com/posts/victoriamhedlund_biasaware-aiineducation-genderbias-activity-7394637681978212352-1UUB Bonus research mentioned: Sexist textbooks: Automated analysis of gender bias in 1,255 books from 34 countrieshttps://pmc.ncbi.nlm.nih.gov/articles/PMC11463758/ A dialogic theoretical foundation for integrating generative AI into pedagogical design https://bera-journals.onlinelibrary.wiley.com/doi/10.1111/bjet.70026 Time, emotions and moral judgements: how university students position GenAI within their study https://www.tandfonline.com/doi/full/10.1080/07294360.2025.2580616