The Edtech Podcast

• #286 - 'Learn Fast, Act More Slowly' to Leverage AI

  We've all seen the headlines - AI is revolutionising everything from how students learn to how teachers teach. The promise of personalised learning paths, automated grading, and AI teaching assistants has created a gold rush mentality in education technology. But in our rush to adopt these powerful new tools, are we moving too fast? Today we'll explore why when it comes to AI in education, we need to learn fast but act more slowly and thoughtfully. We'll look at both the tremendous opportunities and serious risks that AI tools present for students and educators. We'll examine where AI can truly add value in education versus where human teachers remain irreplaceable. And most importantly, we'll discuss why comprehensive AI literacy and training is absolutely crucial - not just for educators, but for everyone involved in shaping young minds. Drawing on insights from leading experts on the frontlines of AI in education, we'll provide a framework for thinking about how to implement AI tools responsibly and effectively. Whether you're a teacher, administrator, policymaker or parent, this episode will give you practical guidance for navigating the AI revolution in education. Talking points and questions may include: Opportunities and risks of the tools: Adaptive or personalised learning paths, automated marking and feedback, content generation, analytics and teaching assistants, but also inaccuracy and lack of transparency, data risks, biases, ethics and safeguarding, and like social media, the unintended lasting consequences Where AI is best placed: Is it EdTech and tools in the classroom, the augmentation and elevation of human intelligence, or is it just learning about AI and what it can do and why (is knowledge=power enough?) Why it is so important that understanding and training are emphasised and why everyone needs to have such training Without it there can be safeguarding disasters, skills training can be insufficient, many AI tool providers are offering free training to learn to use their tool but this is consumerised and inadequate and can be ethically questionable; do we want successive generations to only be producing AI tools that are exploitative and using our data and our IP without our consent, or do we want to help people with technology and for the partnership to be of most benefit to them? Guests: Rt. Hon the Lord Knight of Weymouth, Jim Knight Rob Robson, ASCL Trust Leadership Consultant

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• #285 A Teacher's Perspective - Work Smarter, Not Harder! (part 3)

  In our third episode on AI in UK schools, Professor Rose Luckin explores AI integration further with two very special guests helping to lead the way with AI in their institutions. Talking points and questions may include: What is the extent of AI penetration in your schools, including teacher usage, classes avoiding it, student use, and any strategies or evaluation plans in place regarding reactive or proactive AI adoption? No AI is risk-free, so concerns around impacts on learning, creativity, authorship, assessment, and whether students genuinely understand AI-generated content are critical issues Safeguarding measures must address the risks of AI providing misleading, biased, or explicit content without consent as these technologies proliferate in classrooms Comprehensive AI training is needed for educators at all levels to ensure smooth technology transitions while maintaining human-centric learning approaches as new tools and understanding are required Guests: Harvey Trump, Educational Consultant, Global Educational Consultancy, Egypt Avani Higgins, Director of School Improvement, Leathersellers’ Federation of Schools

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• #284 - A Teacher's Perspective: It Has to Start with the Leadership Team (part 2)

  In our second episode on AI in UK schools, Professor Rose Luckin explores AI integration further with three very special guests helping to lead the way with AI in their institutions. Talking points and questions may include: What is the extent of AI penetration in your schools, including teacher usage, classes avoiding it, student use, and any strategies or evaluation plans in place regarding reactive or proactive AI adoption? No AI is risk-free, so concerns around impacts on learning, creativity, authorship, assessment, and whether students genuinely understand AI-generated content are critical issues Safeguarding measures must address the risks of AI providing misleading, biased, or explicit content without consent as these technologies proliferate in classrooms Comprehensive AI training is needed for educators at all levels to ensure smooth technology transitions while maintaining human-centric learning approaches as new tools and understanding are required Guests: Adam Webster, Deputy Head (Innovation), Caterham School & CEO of Sphinx AI Scott Hayden, Head of Teaching, Learning, and Digital, Basingstoke College of Technology Chris Goodall, Head of Digital Education, Bourne Education Trust

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• #283 - A Teacher's Perspective - How to Approach AI as an Institution (part 1)

  AI integration in UK schools varies, with some embracing it for tasks like grading and personalised learning, while others avoid it in certain subjects. However, there is no risk-free AI. As these technologies spread in education, proactive strategies are crucial, not reactive ones. Key concerns include AI providing misleading or biased information, generating explicit content without consent, and impacts on true learning if over-relied upon for content generation. Robust safeguarding measures addressing these risks are essential as AI permeates classrooms. Effectively preparing teachers is paramount for successful AI adoption. Comprehensive training is needed not just for educators, but leaders too, ensuring all grasp the opportunities and challenges. Only then can AI enhance learning while keeping a human-centric approach. Talking points and questions may include: What is the extent of AI penetration in your schools, including teacher usage, classes avoiding it, student use, and any strategies or evaluation plans in place regarding reactive or proactive AI adoption? No AI is risk-free, so concerns around impacts on learning, creativity, authorship, assessment, and whether students genuinely understand AI-generated content are critical issues Safeguarding measures must address the risks of AI providing misleading, biased, or explicit content without consent as these technologies proliferate in classrooms Comprehensive AI training is needed for educators at all levels to ensure smooth technology transitions while maintaining human-centric learning approaches as new tools and understanding are required Guests: Emma Darcy, Director of Technology for Learning, Denbigh High School Sarah Buist, Head of Digital Strategy, Royal Grammar School Newcastle Rose Luckin, Professor of Learner Centred Design, UCL, Founder & CEO, Educate Ventures Research

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• #282 - Risk Assessments for AI Learning Tools, a conversation, Part 2

  In the second episode of a two-part miniseries on risk management, risk mitigation and risk assessment in AI learning tools, Professor Rose Luckin is away in Australia, speaking internationally, so Rowland Wells takes the reins to chat with Dr Rajeshwari Iyer of sAInaptic to hear her perspective on risk as a developer and CEO. View our Risk Assesments here: https://www.educateventures.com/risk-assessments In the studio: Rowland Wells, Creative Producer, EVR Rajeshwari Iyer, CEO and Cofounder, sAInaptic Talking points and questions include: Who are these for?  what's the profile of the person we want to engage with these risk assessments?  They're concise, easy-to-read, no technical jargon.  But it's still an analysis, for people with a research/evidence mindset.  Many people ignore it: we know that even learning tool developers who put research on their tools ON THEIR WEBSITES do not actually have it read by the public.  So how do we get this in front of people?  Do we lead the conversation with budget concerns?  Safeguarding concerns?  Value for money? What's the end goal of this?  Are you trying to raise the sophistication of conservation around evidence and risk?  Many developers who you critique might just think you're trying to make a name pulling apart their tools.  Surely the market will sort itself out? What's the process involved in making judgements about a risk assessment?  If we're trying to demonstrate to the buyers of these tools, the digital leads in schools and colleges, what to look for, what's the first step?  Can this be done quickly?  Many who might benefit from AI tools might not have the time to exhaustively hunt out all the little details of a learning tool and interpret them themselves?  Schools aren't testbeds for intellectual property or tech interventions.  Why is it practitioners' responsibilities to make these kind of evaluations, even with the aid of these kind of assessments?  Why is the tech and AI sector not capable of regulating their own practices? You've all worked with schools and learning and training institutions using AI tools.  Although this episode is about using the tools wisely, effectively and safely, please tell us how you've seen teaching and learning enhanced with the safe and impactful use of AI

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