Infilogi’s Post

I’ve been thinking a lot about two things lately: a) how we might be able to build on work done with intelligent tutoring systems during the last 20 years, now that generative AI has burst onto the scene, to create empathetic artificial tutors that will teach math to students at any level of whatever background, and b) what school (meaning K-12) will even look like in, say, 2050. I’m thinking along the lines of mashing up Conrad Wolfram’s “The Math(s) Fix: An Education Blueprint for the AI Age” with Sugata Mitra’s “beyond the Hole in the wall”. I’d like to post once a week, either addressing one of these and related issues, or summarizing in non-hypertechnical terms, recent academic literature in the math ed - AI Edtech space. Suggestions for topics would be appreciated.

Thrilled to share that I co-authored an open-access eBook on **AI in Education** with my classmates from the Asian University for Women, guided by Professor Stefanie Panke. We explored a wide array of topics including ethics, pedagogical applications, impact of AI in both K-12 and Higher Education, etc. A special thanks to our teaching fellow for this course Israt Jahan Oeeshi for helping us understand AI tools throughout the course. My contribution to this project is Chapter 3.4: Creating Effective Multimedia Learning Material with AI for K12. This chapter delves into how AI can be leveraged to enhance multimedia learning resources, making education more engaging and effective for K-12 students. Explore our work: [AI in Education eBook](https://lnkd.in/gFkrkCvQ) #EmpowermentThroughKnowledge #EdTechExcellence #AIForImpact #OpenAccess #Education

Already finished first week of Term 4 and I’ve been reflecting on my holiday reading. I read 3 books (well haven't quite finished Nexus yet) but each capturing different perspectives on technology, particularly AI, through the lenses of an Educator(s), a Technologist, and a Historian. The Next Word by Matthew Esterman 🧔🏻 and Dr Nick Jackson offered an AI-focused review of education. It not only explores the role of AI in reshaping teaching but also provides easy-to-apply strategies that can directly impact the classroom. It was a relaxing read and it was great having 'take-aways' summarised at the end of each chapter. What I found most valuable was how it showed AI as a partner in education, not a replacement for teachers—it's about enhancing our practices, not losing our human touch or community learning experience. It left me thinking deeply about how I can integrate AI as a teacher and even as a lifelong learner. The Math(s) Fix by Conrad Wolfram zooms in on the role of technology in Maths education. Wolfram calls for a shift in focus from manual calculation to problem-solving and computational thinking, which aligns perfectly with the skills our students will need in an AI-driven world. I am still looking at aspects of Maths education as a promoting play, curiosity, justice and love, beyond application and practical features, however Conrad sets a clear blueprint for preparing students to navigate real-world problems. Reading this reinvigorate me as a Maths teacher to incorporate more technology and to foster critical thinking into classroom practise. Nexus by Yuval Noah Harari took me on a much broader journey through the history and future of human information networks. Harari’s exploration of how information—whether in the form of myths, ideologies, or data—shapes civilizations left me reflecting on the delicate balance between truth and control in our modern world. His take on AI as an “alien intelligence” made me rethink not just the future of education, but how AI could alter our societal structures altogether. This ties back to our role as educators: helping students critically navigate the vast amounts of information they are exposed to every day. Together, these books challenged me to think more critically about the intersection of technology and education. As we move further into the AI age, they reaffirmed my commitment to empowering students with the tools to not only engage with technology but to do so thoughtfully and ethically.

A thoughtful review of The Next Word: AI & Teachers by Jarrad Strain. Thanks Jarrad! #ai #education #reading Dr Nick Jackson

Edexia (YC W25) helps teachers grade papers faster and more accurately. Their AI teaching assistant learns each teacher’s grading style, so it can provide feedback that feels personal and consistent. Teachers can adjust the AI's grading on the spot, and it adapts immediately. This reduces grading time dramatically, sometimes even eliminating the need for teachers to grade manually. Edexia works with any subject, curriculum, or grade level. It uses the teacher’s rubric to visually explain its grading decisions, making the process transparent and easy to understand. The goal is to give teachers more time and resources to focus on their students, not replace them. Founders - Daniel Gibbon & Nathan Wang Check out Edexia - https://www.edexia.ai/

"We’re asking everybody to use the AI Assistant’s English and maths option as it provides effective ways to embed these essential skills. Early career teachers, who might not yet have the experience to integrate these strategies, have found it truly transformative." – Alison Loughnane MSET ATS CTEACH, Teaching and Learning Quality Manager at Hopwood Hall College. Hopwood Hall has seamlessly integrated the HOW2 Platform into every aspect of its teaching, learning, and assessment strategy. The HOW2 AI Assistant supports educators in embedding evidence-based strategies into lessons, helping address core priorities like English and maths. Its real-time guidance has been particularly valuable for early career teachers, boosting confidence and consistency across teaching teams. Find out how Hopwood Hall is using the HOW2 AI Assistant to embed essential skills and enhance teaching practice: https://ow.ly/qAOC50UeKN8 #HOW2+AI #CPD #FE Julia Heap Liz Duncan

Take advantage of those Sapien brains peeps… make a comparison, get in touch to check out the AI Assistant.

🔥 🔥 🔥 IMPORTANT Imagine being able to “talk” to a textbook, whether it’s math (even on mobile), or a book from ART Publishing, Cambridge Press, or Harvard – this sounds like science fiction! And what if all you need to do is attach and send the textbook like an email, while you’re on the bus to school… And not just for math, not just a textbook, but even a collection of problems, or a picture (of a lesson about Mihai Viteazu)… And what if, on top of that, you could ask it to explain why E=mc², whether you’re 8, 12, or even for me, like a physics teacher, adapting the vocabulary and explanations to my level… In any language, any subject, any curriculum, any resource from Mumbai to Boston, from the Urals to Burkina Faso… Now that would be an incredible legacy for our generation to leave the next! As long as what we inherited as a generation is passed on to the next through this revolutionary technology! And that’s what we are doing! The work is in progress and will be completed in 2024 (nothing to do with the elections, I assure you). We’ve already started the digital transfer of knowledge, including Cambridge materials, starting with math, followed by computer science and AI, into the KB (*) (*) AI knowledge base or KB, based on the GPT model (text mode) combined with image, video, and sound. Our target audience is children, parents, and teachers, from kindergarten, afterschool, middle school, to high school. The model is open to any contributions without affecting the foundation, with “learning” being automatic. Every child, parent, teacher, etc. will be able to upload a picture of an exercise or problem and request solutions, explanations, or the generation of similar exercises. The solution has been running for a few months now, and currently, we are just uploading digital resources per curriculum, incrementally and iteratively. We invite you (parents, children, teachers) in the coming weeks to a live presentation at Kid Club (Saturday) in Greenfield Băneasa. Don’t forget – bring your homework! Not just the kids! AIpath / The Way of Artificial Intelligence 0737.123.777 itcoolonline@gmail.com

In his Minerva master's thesis, Haishuo Lee explored the 'durable skills' that remain crucial despite rapid AI advancements. By drawing insights from politics, business, and government, Haishuo mapped these competencies to K-12 education, identifying which of them should be prioritized at each stage of education. His research highlights that integrating these skills into existing courses is the most effective way for schools to adapt without disrupting their current curriculums.