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

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

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

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

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

In today's episode, we have the first part 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 Educate Ventures Research team members about their experience managing risk as teachers and developers. What does a risk assessment look like and whose responsibility is it to take onboard its insights? Rose joins our discussion group towards the end of the episode, and in the second instalment of the conversation, Rowland sits down with Dr Rajeshwari Iyer of sAInaptic to hear her perspective on risk and testing features of a tool as a developer and CEO herself.

View our Risk Assessments here: https://www.educateventures.com/risk-assessments

In the studio:

• Rowland Wells, Creative Producer, EVR
• Dave Turnbull, Deputy Head of Educator AI Training, EVR
• Ibrahim Bashir, Technical Projects Manager, EVR
• Rose Luckin, CEO & Founder, EVR

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

In today's rapidly evolving educational landscape, Artificial Intelligence is emerging as a transformative force, offering both opportunities and challenges. As AI technologies continue to advance, it's crucial to examine their impact on student expectations, learning experiences, and institutional strategies. One pressing question is: what do students truly want from AI in education? Are they reflecting on the value of their assessments and assignments when AI tools can potentially complete them? This begs the deeper question of what we mean by student success in higher education and the purpose of knowledge in an AI-driven economy. Professor Rose Luckin is joined by three wonderful guests in the studio to discuss what tools we need to support students and how we explore the potential and the limitations of AI for education.

Guests:

• Michael Larsen, CEO & Managing Director, Studiosity
• Sally Wheeler, Professor, Vice-Chancellor, Birkbeck, University of London
• Ant Bagshaw, Executive Director, Australian Technology Network of Universities

Talking points and questions include:

• Student expectations and perspectives on using AI for assessments/assignments and the role of knowledge in an AI economy
• The potential of AI to enhance learning through features like instant feedback, error correction, personalized support, learning analytics
• How AI could facilitate peer support systems and student community, and the research on the value of this
• The lack of robust digital/AI strategies at many institutions as a barrier to effective AI adoption
• The evidence-base for AI in education - challenges with research being highly specific/contextual, debating the value of in-house research vs general studies
• Whether evidence on efficacy truly drives institutions' buying decisions for AI tools or if other factors/institutional challenges are stronger influences
• How challenges facing the education sector can inhibit capacity for innovative deployments like AI
• The growing need for proven, supportive AI tools for students despite institutional constraints

Coming to the fifth and final episode of our miniseries on AI for education, host Professor Rose Luckin is joined by Timo Hannay, Founder of SchoolDash, and Lord David Puttnam, Independent Producer, Chair of Atticus Education, and former member of the UK parliament's House of Lords. This episode and our series have been generously sponsored by Nord Anglia Education.

Today we're going to look ahead to the near and far future of AI in education, and ask what might be on the horizon that we can't even predict, and what we can do as humans to proof ourselves against disruptions and innovations that have, like the Covid pandemic and ChatGPT's meteoric rise, rocked our education systems, and demanded we do things differently.

Guests:

• Lord David Puttnam, Independent Producer, Chair, Atticus Education
• Timo Hannay, Founder, SchoolDash

Talking points and questions include:

• Slow Reaction to AI: Despite generative AI's decade-long presence and EdTech's rise, the education sector's response to tools like ChatGPT has been surprisingly delayed. Why?
• Learning from Our AI Response: Can our current reaction to generative AI serve as a case study for adapting to future tech shifts? It's a test of our educational system's resilience
• AI's Double-Edged Sword: With ChatGPT's rapid rise, are EdTech companies risking harm by using AI without fully understanding it? Think Facebook's data misuse in the Rohingya massacre
• Equipping Teachers for AI: Who can educators trust for AI knowledge? We need frameworks to guide them, as AI literacy is now as crucial as internet literacy
• Digital Natives ≠ AI-Ready: Today's youth grew up online, but does that prepare them for sophisticated, accessible AI? Not necessarily

Continuing our miniseries on AI in education with the fourth episode centred around a AI's potential for equity of learning, host Professor Rose Luckin is joined by Richard Culatta of ISTE, Professor Sugata Mitra, and Emily Murphy of Nord Anglia Education. This episode and our series are generously sponsored by Nord Anglia Education.

In our fourth instalment of this valuable series, we look at AI's potential to address various challenges and bridge the educational gaps that exist among different groups of students around the world. AI can analyse vast amounts of data, provide early interventions, and enhance accessibility, and as long as the deployment of the technology is appropriate to the unique context of the school, the learners, the location, and the access to devices, AI can transform education for those who need the most support.

Guests:

• Professor Sugata Mitra, Author/Professor of Educational Technology, Newcastle University
• Emily Murphy, Senior PD Lead, DNA Metacognition Project, Nord Anglia Education
• Richard Culatta, CEO, ISTE

Talking points and questions include:

• What do we mean by equity of learning, and how can we understand context? Is there a danger that AI will simply be used to reinforce or replace existing conventional methods of assessing learning, despite what it's great potential?
• What needs to fall into place for AI to be the promise for education we know it could be?
• What needs to happen to have AI be the magic bullet for equity of learning from a teacher and headteacher perspective? If the technology is there, and it has the potential it has, how can teachers build on that?
• How have different practices and innovations in the classroom been adopted and rejected… is AI going to succeed where other initiatives and technologies have either failed to be adopted, or plateaued and fallen by the wayside? How is AI different?
• How do we talk about getting school infrastructure in place to use AI?
• How we do we convince educationalists, and the budget holders and local governance that AI and other emerging technologies are worth their investment?
• There is some understandable fear about revolutionary technology disrupting existing practice in the classroom, but are we underestimating our students and teachers?

Continuing our miniseries on AI in education with the third episode centred around a global perspective on AI, host Professor Rose Luckin is joined by Andreas Schleicher of the OECD, Dr Elise Ecoff of Nord Anglia Education, and Dan Worth of Tes. This episode and our series are generously sponsored by Nord Anglia Education.

In our third instalment of this valuable series, we head out beyond the UK and the English-speaking world to get a global perspective on AI, and ask how educators and developers around the world build and engage with AI, and what users, teachers and learners want from the technology that might tell people back home a thing or two. We examine how international use of AI might change the way we engage with AI, and we also ask why they might be doing things differently.

Guests:

• Dr Andreas Schleicher, Director for the Directorate of Education & Skills, OECD
• Dr Elise Ecoff, Chief Education Officer, Nord Anglia Education
• Dan Worth, Senior Editor, Tes

Talking points and questions include:

• What are other countries tech and education ecosystems doing to develop and implement AI?
• International considerations of ethics and regulation
• Is the first world imposing a way of looking at technology and its innovation on the third world? What assumptions are we making, and are we mindful of the context?
• Is the first world restricting innovation through specific regulation to change what technology is being built and how, and who might it benefit?
• Skills and competencies development can be driven by the needs of business - what priorities for AI education exhibited by international models could the UK adopt or consider?