Presenting on Equitable AI at NCORE

AI and this generation of kids? Whats going to go wrong / or right? I've been considering the impact of AI on the next generation. How will educators adapt their teaching methods? Will the curriculum evolve to incorporate these new technologies, or will they struggle to keep pace? The questions arise: will children become smarter, leveraging AI as a powerful learning tool, or will they become overly reliant, hindering critical thinking skills? We are, in essence, conducting a grand experiment with this generation as our "guinea pigs." Only time will truly tell the full extent of AI's influence on our children's development and learning. It's a rapidly unfolding narrative that demands our attention and thoughtful consideration. What are your thoughts on AI's role in education for the future? #AI #Education #FutureOfLearning #GenAlpha #TechnologyInEducation

Over the past few weeks, Naomh has had a number of conversations with education professionals about the impact of AI in secondary education. One theme keeps coming up - Fear! Fear of losing control. Fear of misuse. Fear of being left behind if we don’t take action now. AI is already reshaping the classroom, from how students learn to how teachers assess and engage. But without clear guidance and proactive leadership, the risks can quickly outweigh the benefits. In our latest blog, we explore the true impact and cost of AI in secondary education and why now is the time to take control of how it’s integrated into our schools. For more: https://lnkd.in/ehfMDaDu #AI #Education #SecondaryEducation #EdTech #FutureOfLearning

AI + Knowledge = The Future When most people think of AI, they think automation and coding. But the fastest growth? It’s happening in education and science—the foundation of the knowledge economy. 📊 The data speaks loud: → AI in education will surge from $6.9B in 2025 to $41B by 2030 → 86% of students worldwide already use AI weekly → Generative AI is spreading across all major research fields → AI-driven instructional material creation has grown 6x in under a year Why this shift? Because AI isn’t just about working faster. It’s about synthesizing ideas, explaining complex concepts, and accelerating discovery. For business leaders, this is a wake-up call: The winners will be those who use AI to upskill teams, accelerate R&D, and spread knowledge at scale. 👉 Learn how to stay ahead: neuwark.com #AI #KnowledgeEconomy #Education

Stop Talking About AI in the Classroom, Start Investing in the Teacher. The volume of posts saying teachers must use AI for planning and marking completely misses the point. The challenge isn't adoption, it's empowerment. School trusts and leadership need to provide dedicated, structured CPD time for teachers to truly learn about AI. This cannot be an afterthought. Without funding for professional development and clear, ethical frameworks, AI will only lead to more burnout and poor implementation. Let's shift the focus. Stop demanding AI use, and start funding AI literacy. #EdTech #Education #CPD #AIinEducation #TeacherSupport

Most definitions of AI literacy point to three key dimensions: knowledge, skills, and attitudes. Here are a few examples that capture this idea clearly: • "AI literacy includes the knowledge and skills that enable people to critically understand, evaluate, and use AI systems and tools to safely and effectively participate in an increasingly digital world." (Mills et al., 2024, p. 4) • "The collection of skills and knowledge that a person needs to confidently understand, ethically use, and critically evaluate artificial intelligence in a world where AI is ubiquitous." (aiEDU, n.d.) • "AI literacy represents the technical knowledge, durable skills, and future-ready attitudes required to thrive in a world influenced by AI. It enables learners to engage, create with, manage, and design AI, while critically evaluating its benefits, risks, and ethical implications" (TeachAI, n.d.) What’s consistent across these definitions is the emphasis on knowledge. Here, knowledge refers to understanding the foundations of how AI works, the concepts, processes, and terminology that make AI systems function. To build that foundation, teachers need access to quality, trusted resources. In this visual, I’ve gathered 10 free AI literacy resources that help educators strengthen their understanding of AI while exploring its ethical and practical dimensions. References 1. aiEDU. (n.d.). What is AI literacy? AI Education Project. 2. Mills, K , Ruiz, P , Lee, K , Coenraad, M , Fusco, J , Roschelle, J & Weisgrau, J (2024, May). AI Literacy: A Framework to Understand, Evaluate, and Use Emerging Technology. 3. TeachAI. (n.d.). What is Literacy. #AILiteracy #AIforTeachers #EdTech #AIEducation #TeacherPD #DigitalPromise #aiEDU

What if artificial intelligence could become one of the greatest engines for equity in our history? Fascinating perspectives emerged from the Empower Learners for the Age of AI conference. For generations, privileged students have had a support network of family and mentors helping them navigate. AI now offers the possibility of democratizing that guidance for everyone. It is not about replacing human mentors. It is about providing the foundational scaffolding for every learner to thrive. Is this the true, humane promise of AI in education? Read Reda Sadki's notes on the conference: https://lnkd.in/eyYga76U #AIforGood #EducationEquity #AIinEducation #EdTech #FutureOfLearning #HealthEquity Empowering Learners in the Age of AI George Siemens Stéphan Vincent-Lancrin Jason M. Lodge Dragan Gasevic Matt Sigelman Pinar Demirdag Mark David Milliron Lisa Marsh Ryerson Howard Brodsky

The world is changing fast. Faster than education can keep up. AI is reshaping literally everything: -> How we teach -> How we learn -> How we build Most learning systems aren’t designed for this shift. That’s why Professor Pavlos Protopapas and Anshika Gupta built System3 A next-generation learning and consulting ecosystem focused on AI, Data and Innovation. We empower: 1/ Students become above industry standard AI-ready professionals  2/ Institutions to transform their AI curriculum stack 3/ Enterprises to up-skill teams for this AI era. With 1000+ learners and 10+ institutions partnered, our mission is clear: “To bridge the gap between elite education and real-world AI expertise” Follow us for insights on the intersection of AI and Education. Stay tuned! #ArtificialIntelligence #AIEducation #EdTech #MachineLearning #FutureOfWork

📚 New research on how students use generative AI for research - Marc Vinyard and Mark Roosa’s new pre-print article in portal Libraries and the Academy highlights key patterns (read the paper here: https://lnkd.in/g7iTy6X5): ✅ Students rely on #AI for grammar, summarizing, and brainstorming. ❌ They don’t #trust it for locating scholarly sources. 🤔 #Ethical “grey zones” remain unclear. 📉 #Faculty guidance is inconsistent, leaving students to figure it out themselves. 🔑 Students think they’re good at #prompting, yet lack structured approaches. 💡 Implications for #AiLiteracy This study reinforces what I’ve been seeing across higher ed and in the workforce: AI literacy isn’t just about “using the tools.” It’s about knowing when to trust them, how to combine them with traditional research practices, and where the ethical boundaries lie. For #libraries, this means an opportunity to: • Help students combine AI with databases rather than choosing one over the other. • Provide structured prompting frameworks (like my #CLEARframework) to move beyond trial and error. • Partner with faculty to move from prohibition to constructive, consistent guidance.

"Addressing the AI Literacy Gap: The Imperative for Knowledge and Equity" As we progress in the AI age, the AI literacy gap is rapidly growing. This disparity goes beyond technical competence; it extends to the accessibility of education and resources needed to understand the far-reaching social and economic nuances of AI. AI literacy is not just the ability to use AI tools but also incorporates a deeper understanding of AI's functionality and implications. Education systems globally need to revamp and include AI literacy as a critical skill to meet societal and workforce demands. By focusing on these areas, the AI Literacy Framework

AI fluency will define tomorrow’s graduates. Will your university teach about it, or teach with it? Universities everywhere are rethinking what students need to thrive in an AI-driven world. But the real opportunity isn’t simply adding “AI 101.” It’s embedding AI as a research partner across disciplines. Imagine psychology students measuring emotional arousal in real time, business students testing market reactions to new campaigns, or design students running instant usability studies, all using the same software platform with AI driven tools, where it actually matters. With iMotions Education and iMotions Lab, that vision is already possible. Our multimodal, AI-powered tools let students and faculty capture and interpret complex human behavior data, from eye tracking to facial expressions, inside one synchronized system. The future isn’t teaching about AI. It’s teaching with AI - so graduates can work alongside intelligent tools from day one. How is your institution preparing students to learn with AI? #AIEducation #ResearchInnovation #HumanBehaviorResearch #ResearchTechnology #EdTech #AustralianUniversities #ResearchInnovation #DigitalLearning #FutureSkills #iMotions