Are we accidentally widening the educational equity gap by handing out AI tools too quickly?

In this episode of The International Classroom, Alex Gray sits down with Chris Loveday and Amelia King to explore the intersection of the operational backend and the cognitive classroom layer. They unpack why giving students an AI tool is only the second step in the digital equity journey, and why foundational training must come first to prevent students from offloading their critical thinking.

They also discuss the fascinating concept of "Red Teaming" AI in schools—from adults stress-testing bots for safeguarding risks (like asking an AI how to harm a tutor) to "metacognitive red teaming" where students inevitably try to get the AI to just do their homework for them.

Plus, find out why navigating AI in education feels a lot like being a contestant on Big Brother or Love is Blind.

Are our school IT departments falling dangerously behind the AI risk curve? And what do students really think about their teachers using AI in the classroom?

In this episode, Alex Gray sits down with Emma Darcy and James Garnett to discuss the very real friction between the pedagogy layer and the infrastructure layer in schools. They tackle the rising threat of deepfakes, why one-off AI safeguarding training doesn't work, and the massive disconnect between the teachers adopting the tech and the IT teams trying to secure it.

Plus, they share a powerful insight into the "student voice" and why young people desperately want to protect the authentic, intrinsic relationship they have with their educators.Don't forget to Subscribe for more conversations on the future of education, EdTech, and classroom innovation!

#AIinEducation #EdTech #SchoolLeadership #Deepfakes #StudentVoice #CyberSecurity #EducationPodcast

Are schools drowning in data but starving for actual information?In this episode, I speak with Matt Woodruff, founder of Open Education AI, about the urgent need to break down data silos in education. With over two decades in school governance and a PhD in ethical AI, Matt unpacks why the sector needs open-source, non-profit infrastructure so schools stop wasting money reinventing the wheel.We discuss the ethical tightrope of using predictive analytics to safeguard students versus accidentally labeling them, the four stages of data maturity in schools, and why jumping into every new AI tool is a lot like being a contestant on Love Island.