AI in Education Podcast
Episode Series 12 Episode 8 AI by Students, for Students In this special episode of the AI in Education Podcast, recorded live at the , Dan and Ray chat with two forward-thinking school leaders about how students are using AI in transformative ways. First up, , Head of ICT at , 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, , Digital Learning Leader at ,...
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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...
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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!
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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 -...
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Students as AI Innovators In this inspiring episode of the podcast, hosts Ray and Dan speak with at 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...
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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 , 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, "", 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,...
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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 at , who shares revealing insights from , 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...
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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...
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In this special solo-hosted episode, is joined by Dr. Mike Seymour from the University of Sydney, recorded live at the . You can find Mike through and 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...
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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...
info_outlineThe season-ending episode for Series 7, this is the fifteenth in the series that started on 1st November last year with the "Regeneration: Human Centred Educational AI" episode. And it's an unbelievable 87th episode for the podcast (which started in September 2019).
When we come back with Series 8 after a short break for Easter, we're going to take a deeper dive into two specific use cases for AI in Education. The first we'll discuss is Assessment, where there's both a threat and opportunity created by AI. And the second topic is AI Tutors, where there's more of a focus on how we can take advantage of the technology to help improve support for learning for students.
This episode looks at one key news announcement - the EU AI Act - and a dozen new research papers on AI in education.
News
EU AI Act
https://www.europarl.europa.eu/news/en/press-room/20240308IPR19015/artificial-intelligence-act-meps-adopt-landmark-law
The European Parliament approved the AI Act on 13 March and there's some stuff in here that would make good practice guidance. And if you're developing AI solutions for education, and there's a chance that one of your customers or users might be in the EU, then you're going to need to follow these laws (just like GDPR is an EU law, but effectively applies globally if you're actively offering a service to EU residents).
The Act bans some uses of AI that threaten citizen's rights - such as social scoring and biometric identification at mass level (things like untargeted facial scanning of CCTV or internet content, emotion recognition in the workplace or schools, and AI built to manipulate human behaviour) - and for the rest it relies on regulation according to categories.
High Risk AI systems have to be assessed before being deployed and throughout their lifecycle.
In the High Risk AI category it includes critical infrastructure (like transport and energy), product safety, law enforcement, justice and democratic processes, employment decision making - and Education. So decision making using AI in education needs to do full risk assessments, maintain usage logs, be transparent and accurate - and ensure human oversight. Examples of decision making that would be covered would be things like exam scoring, student recruitment screening, or behaviour management.
General generative AI - like chatgpt or co-pilots - will not be classified as high risk, but they'll still have obligations under the Act to do things like clear labelling for AI generated image, audio and video content ; make sure there's it can't generate illegal content, and also disclose what copyright data was used for training.
But, although general AI may not be classified as high risk, if you then use that to build a high risk system - like an automated exam marker for end-of-school exams, then this will be covered under the high risk category.
All of this is likely to become law by the middle of the year, and by the end of 2024 prohibited AI systems will be banned - and by mid-2025 the rules will start applying for other AI systems.
Research
Another huge month. I spent the weekend reviewing a list of 350 new papers published in the first two weeks of March, on Large Language Models, ChatGPT etc, to find the ones that are really interesting for the podcast
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges
A Study on Large Language Models' Limitations in Multiple-Choice Question Answering
Dissecting Bias of ChatGPT in College Major Recommendations
Evaluating Large Language Models in Analysing Classroom Dialogue
The Future of AI in Education: 13 Things We Can Do to Minimize the Damage
https://osf.io/preprints/edarxiv/372vr
Scaling the Authoring of AutoTutors with Large Language Models
https://arxiv.org/abs/2402.09216
Role-Playing Simulation Games using ChatGPT
https://arxiv.org/abs/2402.09161
Economic and Financial Learning with Artificial Intelligence: A Mixed-Methods Study on ChatGPT
https://arxiv.org/abs/2402.15278
A Study on the Vulnerability of Test Questions against ChatGPT-based Cheating
https://arxiv.org/abs/2402.14881
Incorporating Artificial Intelligence Into Athletic Training Education: Developing Case-Based Scenarios Using ChatGPT
https://meridian.allenpress.com/atej/article/19/1/42/498456
Incorporating Artificial Intelligence Into Athletic Training Education: Developing Case-Based Scenarios Using ChatGPT
https://meridian.allenpress.com/atej/article/19/1/42/498456
RECIPE4U: Student-ChatGPT Interaction Dataset in EFL Writing Education
https://arxiv.org/abs/2403.08272
Comparison of the problem-solving performance of ChatGPT-3.5, ChatGPT-4, Bing Chat, and Bard for the Korean emergency medicine board examination question bank
Comparing the quality of human and ChatGPT feedback of students’ writing
https://www.sciencedirect.com/science/article/pii/S0959475224000215