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by Andy Fisher
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In the season finale of the AI Academia Podcast, I dive into ChatGPT-4o's new image-generation powers. From GANs to diffusion models and LoRAs, I trace the evolution of AI art—and then showcase how OpenAI’s tool delivers photorealism, crisp text, and creative flexibility. I wrap it with practical ways educators can use it to boost lessons, design eye-catching visuals, and empower student creators.00:00 Introduction to AI Image Generation in Education01:23 The Evolution of AI Art: From GANs to Diffusion Models03:48 Specialist Models and Their Impact on Photography06:22 The Shift in Employment and Business Applications07:08 The New Native Image Generation Model11:31 Strengths and Features of the New Model15:21 Practical Applications in the Classroom17:01 Final Thoughts and Future Directions17:35 Conclusion and Season Wrap-Up
In this episode, I’ll be sharing a conversation I had with Andrew Weeks, a colleague in the music department at the school where I teach. Andy and I chat about a recent cross-departmental project we ran exploring the potential of AI-generated music and its likely impact on the music industry as a whole. It was a warm and thought-provoking conversation and I’m excited to share it with you.00:00 Introduction to the Episode00:40 Meet Andrew Weeks: Educator and Musician02:18 Balancing Teaching and Music Creation05:54 Adapting to Technological Advances in Music08:16 AI in Music Education: A New Challenge12:22 The Ethics and Impact of AI-Generated Music21:13 The Future of Music in the Age of AI44:50 Concluding Thoughts and Reflections51:37 Closing Remarks and Farewell
In this episode, I’ll be looking at the evolving dynamics of human-AI interaction, particularly in educational and workplace settings. I’ll demonstrate ‘Sesame’, a cutting-edge chatbot model which has taken the AI world by storm, and then we’ll explore how it is inevitable that our AI systems will come to look and sound more like us to the point where it might be hard to tell the difference between machine and human interactions.00:00 Introduction to AI Interaction00:39 Demonstration of Sesame's Chatbot05:31 Philosophical Discussion with Maya08:34 Implications of Advanced AI Interfaces11:13 Future of AI in Education and Society16:43 Challenges and Ethical Considerations28:32 Conclusion and Final Thoughts
In this episode I interview with Bailey Tuddennam, an alumnus of the school where I teach. Bailey, who is now working for a startup focused on designing autonomous kitchen modules for lunar and Mars habitats, discusses his cautious exploration of AI. We delve into the importance of integrating AI literacy into educational curricula, Bailey's journey since leaving Norwich School, his experiences at the University of Glasgow, and his thoughts on the evolving role of AI in various industries. The conversation covers how Bailey uses AI tools in his workflow, the challenges of maintaining academic integrity with AI, and the future of AI in creative and engineering fields.00:00 Introduction to the Episode00:51 Meet Bailey Tuddenham01:24 Bailey's Journey from School to University03:34 Working on Autonomous Kitchen Modules for Space06:56 The Role of AI in Bailey's Work13:15 AI in Education: Challenges and Opportunities36:21 The Future of AI and Robotics39:25 Conclusion and Final Though
In this episode I’ll be comparing two of the most recent fronteir LLMS to come to market - Grok 3 and Claude 3.7. I’ll explore the origins and philosophies behind both models, their functionality and I’ll be assessing their suitability for educators. And if you want to know what any of this has to do with the Sith and Jedi - then tune in!Link to SimTheory: https://simtheory.ai/00:00 Introduction to AI Academia Podcast00:43 Grok 3: The Sith Lord of AI03:22 Claude 3.7: The Jedi Path05:27 Comparing Costs and Accessibility09:18 Grok 3: Features and Limitations15:07 Claude 3.7: Features and Limitations19:53 Ethical Considerations and Risks23:49 Practical Advice for Educators24:53 Conclusion and Final Thoughts
In this episode, I explore the essay’s evolution as an assessment tool and its potential transformation with the advent of AI. Inspired by a LinkedIn post from Paul Matthews and an article on why students cheat by Richard Culatta, I’ll outline a practical 4 step process to help teachers adapt the essay writing process so it remains relevant in the 21st century.Link to Richard Culatta’s article: https://www.linkedin.com/pulse/real-way-stop-cheating-ai-world-richard-culatta-fogxc?utm_source=share&utm_medium=member_ios&utm_campaign=share_via00:00 Introduction to the Evolution of the Essay01:50 Historical Origins of the Essay03:58 The Modern Academic Essay04:56 AI and the Future of Essay Writing06:50 Addressing Academic Integrity in the Age of AI12:17 Practical Strategies for Adapting Essay Writing19:07 Conclusion: The Renaissance of the Essay
In this episode of AI Academia, I tackle the nine biggest misconceptions teachers have about artificial intelligence. I’ve made this recording with two types of listeners in mind - teachers who are on the fence and are holding back from exploring AI because they have reservations, and early adopters who might benefit from better understanding the reluctance expressed by some of their colleagues to adopt AI tools. Thanks to all those in the LinkedIn community who made suggestions which have been included in this recording.00:00 Introduction: Debunking AI Misconceptions in Education02:20 Misconception 1: AI is Just a Trend06:02 Misconception 2: AI Will Replace Teachers07:36 Misconception 3: AI Encourages Cheating10:20 Misconception 4: Using AI as a Teacher is Cheating13:14 Misconception 5: AI Requires Advanced Coding Skills15:06 Misconception 6: No Time to Learn About AI17:47 Misconception 7: AI Will Make Students Dumber21:32 Misconception 8: AI Encourages Excessive Screen Time23:41 Misconception 9: AI Can't Be Trusted29:23 Conclusion: Recap and Final ThoughtsLink to free catalogue of prompts for teachers: https://prompts-for-teachers-uoszciq.gamma.site/
In this episode I investigate the recent release of ‘deep research’ AI models and evaluate their suitability as tools for educators. I comment on the perceived pros and cons of these ‘agentic multi-step research tools’, summarise the outcome of spending a week trawling various articles and posts about the comparions between the models and describe three examples of reports I have created using Perplexity. Can ‘Deep research’ save teachers time? Is it the equivalent of ‘a PhD in your pocket’? Let’s dive in and find out!00:00 Introduction to Deep Research AI Models00:25 Evolution of Conversational AI01:31 The New Wave: Web-Enabled Agentic Reasoning Models02:05 Practical Applications in Education03:36 Major Players in Deep Research AI04:44 Advantages of Deep Research AI Tools07:14 Criticisms and Limitations10:27 Personal Experiences and Use Cases14:54 Recommendations for Educators17:10 Conclusion and Final Thoughts
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Your guide to navigating the AI revolution in education. Hosted by Andy Fisher, a seasoned teacher with nearly 30 years of classroom experience, this podcast offers practical insights into the latest developments in artificial intelligence and how they will transforming teaching and learning.Each episode is packed with easy-to-understand advice on integrating AI into the classroom, reducing teacher workload, and improving efficiency—all while staying sensitive to the realities and demands of modern education. Tune in for actionable tips, inspiring ideas, and the tools you need to future-proof your career while preparing your students for the 21st century workplace.
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