This blog is presented by Twin Science, a global education technology company empowering educators through AI-enhanced learning solutions.
Warning from Microsoft’s Head of AI
Artificial Intelligence (AI) is rapidly becoming part of our everyday lives. From chatbots that answer questions to tools that help us learn, its influence is undeniable. But with this growth comes new challenges.
Recently, Mustafa Suleyman, Microsoft’s Head of AI, warned about a rising phenomenon he calls “AI psychosis.” Reported by the BBC, this describes situations where people begin to believe that AI chatbots are conscious or develop imaginary relationships with them.
For schools and educators, this raises an urgent question: How do we prepare young learners to benefit from AI while protecting them from these risks?
“AI psychosis” is not a clinical diagnosis but a term used to describe psychological detachment from reality triggered by over-reliance on chatbots like ChatGPT, Claude, or Grok.
Examples reported include:
Believing a chatbot is “in love” with them.
Thinking they have “unlocked” secret powers within the AI.
Relying on AI advice so completely that real-world guidance (from lawyers, therapists, or family) is ignored.
One case study in the BBC report described Hugh, from Scotland, who became convinced that a chatbot’s advice would make him a millionaire. Over time, he lost touch with reality, experiencing a full breakdown before seeking medical help.
Why This Matters for Schools
Children and young people are particularly impressionable. As AI tools become embedded in classrooms, the danger of blurred boundaries between simulation and reality increases.
Dr. Susan Shelmerdine, a medical imaging doctor and AI academic, compared AI use to ultra-processed food: “We already know what ultra-processed foods can do to the body; this is ultra-processed information.” If left unexamined, it may create “ultra-processed minds.”
Twin Science’s Perspective: Building AI Literacy with Conscience
At Twin Science, our mission is to nurture students’ STEM and AI skills responsibly. We believe AI must be taught hand-in-hand with critical thinking and compassion.
Here’s how our STEM for Sustainability curriculum helps prevent risks like AI psychosis:
1- Demystifying AI
Students learn how AI works — algorithms, data, and limitations — so they don’t mistake simulation for consciousness.
2- Hands-On Experimentation
With STEM Kits and classroom projects, students design earthquake detectors, sustainable farms, or smart canes — seeing AI as a tool, not a “mind.”
3- Educator Empowerment
Our AI-powered Educator Portal helps teachers plan lessons responsibly, with clear guardrails around ethical use.
4- Fostering Human Connection
Every AI project is tied back to the United Nations Sustainable Development Goals (SDGs), reminding learners that technology must serve real human needs, not replace human relationships.
Advice for Educators
Teach students the difference between AI outputs and human empathy.
Encourage reflection: “Does this answer feel real, or is it just convincing?”
Remind children: AI can simulate words, but not feelings.
Always balance AI use with human interaction, discussions, debates, teamwork.
Conclusion
We are at the beginning of what some researchers call “social AI”, where chatbots may play roles similar to social media. As Professor Andrew McStay from Bangor University reminds us: “While these things are convincing, they are not real… Be sure to talk to real people.”
At Twin Science, we couldn’t agree more. By combining AI literacy with sustainability education, we aim to raise a generation that is not only skilled in technology but also grounded, compassionate, and prepared to use AI for the collective good of our planet.
Ready for back-to-school? In Twin AI Spotlight #3, you’ll find the latest AI news, classroom-ready tools, and more. With teachers leading the way, Twin is by your side to grow a generation that understands AI and builds responsible technologies with it. Enjoy the read! 🌱
🧑🏫 Teacher Joe’s AI Tool Suggestion
UK computer science teacher Joe Miles introduces one of his favorite Twin tools: Worksheet. Customize by curriculum, grade, and standards; choose question count and types, and your worksheet is ready!
‘Create a back-to-school classroom activity for my 6th grade science students using the Twin AI ‘Song Lyric’ tool. The activity should help students feel welcome, encourage teamwork, and spark curiosity about science and AI. Ask students to generate a short, fun class song with Twin AI by choosing a 6th grade science theme (e.g., space, ecosystems, energy, or inventions). Provide clear step-by-step instructions to run this activity within 30–40 minutes, suggest ways to perform or present the song in class, and add 3 reflection questions that connect the song’s theme to scientific thinking and the role of AI as a creative assistant.’
Teach how AI powers autonomous & assistive vehicles to boost mobility and independence. Students compare human senses with car sensors, design accessibility solutions, and discuss transport’s CO₂ impact. Ready-to-teach activities included!
Students train a model with visuals in minutes: make silly faces, collect images, label a few classes, click Train, then test and iterate. Use it through Twin Code Lab to level up your STEM project! (No Machine Learning background needed.)
Get up to speed on the latest AI updates before school starts. From tools that give teachers back 6 weeks a year to innovations shaping the future of learning, it’s all in this short video!
This blog is presented by Twin Science, a global education technology company empowering educators through AI-enhanced learning solutions.
Why Is Everyone Talking About Demis Hassabis’s Claim?
Recently, Demis Hassabis, CEO of Google DeepMind, shared a bold vision: “AI will be 10 times bigger than the industrial revolution.”
That comparison is staggering. The industrial revolution reshaped work, society, and education. If AI is truly bigger, it means the way we prepare students for the future is changing faster than ever. For you as a teacher, it’s not just a global headline, it’s a direct call to action. But where do you even begin? The answer is simple: the globally renowned Twin Science.
What does a revolution of this scale mean for your classroom?
New Skills Will Be Essential: Just as the industrial revolution demanded literacy and numeracy, the AI era demands AI literacy, understanding how AI works, where it helps, and where it falls short.
Work Will Change Again: Many of today’s jobs may evolve or disappear. Helping students learn adaptability, creativity, and critical thinking is no longer optional, it’s survival.
Global Competition, Local Impact: Students everywhere will be part of this shift. Those with early AI exposure will hold an advantage. Those without may struggle to catch up.
What Can You Do Today?
How can you teach AI literacy without being an AI expert yourself?
The good news: you don’t need to master coding or algorithms to start. You can:
Introduce AI through stories and activities that explain concepts like “pattern recognition” or “human guidance.”
Encourage critical thinking by asking students to question AI outputs instead of accepting them as fact.
Use hands-on tools where students build, experiment, and reflect, just like they would in a science lab.
Twin Learning Vision: Building the Double-Winged Generation
At Twin, we see AI as more than a tool, it’s an opportunity to raise what we call a double-winged generation. One wing represents strong competence in STEM and AI skills; the other is conscience, the ability to use those skills with empathy, responsibility, and care for the world.
Our learning vision emphasizes:
Personalized and applied learning: helping every child explore AI through activities that connect to their real lives.
Curiosity-driven exploration: using playful, hands-on projects to make AI feel approachable and engaging.
Social responsibility: showing students not just how to use AI, but how to question it and apply it for the greater good.
This is why our solutions are built with teachers, for teachers, to walk beside you as you prepare students to thrive in a future where AI is everywhere.
How Does This Connect to Your Role as a Teacher?
In uncertain times, adopting new tools can feel overwhelming. But remember: Hassabis’s “10x revolution” doesn’t change one core truth, you are the guide. You know your students, their fears, and their strengths. AI can extend your impact, but it cannot replace your judgment, your care, or your creativity.
At Twin Science, our mission is to be your companion, offering practical tools that make AI literacy real, step by step. You don’t need to do everything at once. Even the smallest classroom activities, like a simple AI story or experiment, can spark the curiosity that fuels lifelong learning.
Conclusion: A Revolution, With Teachers at the Center
Demis Hassabis’s claim may sound overwhelming, but it’s also a reminder: education shapes revolutions.
When you bring AI literacy into your classroom, you are preparing students not only for jobs, but for life in a world that will be reshaped by technology. And you don’t have to do it alone.
A new edition of our newsletter is here! Twin AI Spotlight shows you step by step how to bring AI into your classroom. Discover practical AI tools, watch training videos, and get inspired by real teacher stories. Through the hands of double-winged educators like you, AI finds its true purpose. The students who will use this technology for a more sustainable future draw their inspiration from you. Enjoy the read! 🌱
⚡ Get Your School AI-Ready with Twin!
Artificial intelligence is developing rapidly. Twin is alongside teachers and schools for ethical AI literacy with its AI curriculum, + 20 AI tools, and student reports. Book your free demo today and make your school AI-ready.
Teacher Özgül Nalbantoğlu uses Twin’s ‘Image’ AI tool to help 1st graders learn letters by generating pictures of fruits that start with each letter, like ‘A for Apple.’ Because Twin is a safe and child-friendly platform, she also lets her students try the tool themselves. This way, students learn letters visually while also exploring AI in a fun and secure way.
“I want to assign a project on ecosystems for the 8th-grade science class. The project should involve students examining a local ecosystem and developing sustainability recommendations. I would like you to create step-by-step instructions and evaluation criteria for the project.”
In this lesson, students explore how machines can recognize faces and objects by learning from data. With an interactive video, hands-on challenge, and discussion prompts, help them understand how human collaboration improves technology.
Bring AI to life in your classroom with Twin STEM Kits! In this tutorial, discover how to teach machine learning using images, sound, and hands-on examples that inspire curiosity and creativity. A whole new perspective on AI, for you and your students.
In this edition of our newsletter, we’ve gathered the latest updates to strengthen your AI literacy and fresh Twin tools to energize your lessons. From practical guides that support ethical and effective tech use to inspiring global examples you can adapt to your lessons, it’s all here in one place
As we step into a new era, one that may be even more transformative than the agricultural revolution, teachers like you will be the ones lighting the way. For educators shaping future-ready generations with compassion and critical thinking, your monthly dose of insight and inspiration has arrived. Enjoy the read!
💻 A New Roadmap for AI Education from CSTA
CSTA, in partnership with the AI4K12 initiative, has introduced a new roadmap for AI literacy in K–12 education.
Highlights:
CSTA has released a comprehensive report focused on the “Five Big Ideas” of AI4K12, a nationally recognized framework in the US.
The report outlines foundational AI learning outcomes tailored to each grade level, from kindergarten to 12th grade.
The five core areas: Humans & AI, Representation & Reasoning, Machine Learning, Ethical System Design, and Societal Impacts.
A new version of the CSTA Computer Science Standards is currently in draft form, with the final release expected in the summer of 2026.
AI education is no longer optional; it’s a cornerstone of preparing future-ready, responsible individuals. This framework offers clear guidance for educators at every level, aiming not only to teach technology but also to instill ethical awareness, social responsibility, and thoughtful engagement with AI.
Moonshot AI, a China-based company, has introduced Kimi-K2, a powerful open-weight language model positioned to compete with closed models like Claude 4 and GPT-4.1. For educators, this development offers a compelling glimpse into the infrastructure of future AI tools.
Highlights:
Kimi-K2 is a massive model with 1 trillion parameters. It uses a Mixture of Experts (MoE) architecture, meaning only the most relevant parts of the model are activated for each task, boosting efficiency.
It outperformed GPT-4.1 in coding, math, and multilingual benchmarks.
It works as an agent, meaning it can execute commands, call tools, and complete multi-step tasks autonomously.
It can run locally, but requires powerful hardware to do so.
This new era, where AI acts not only as a responder but as an active assistant, is crucial for educators to understand. Open models like Kimi-K2 provide opportunities for teachers to experiment, customize, and engage more meaningfully with AI. For any educator aiming to use AI more consciously and effectively, this milestone can serve as an inspiring gateway.
Before adopting AI-first strategies, schools and workplaces must invest in people-first education.
Key Points:
65% of students say they haven’t taken AI-related courses at university.
Only 3% feel confident that their education prepares them for AI-related jobs.
35% of workers now use AI in their jobs, but only 31% received employer-led training.
AI use is still mostly self-directed: 60% of employees use it for personal learning.
Brotman & Sack’s book AI First highlights AI literacy → proficiency → fluency as a roadmap for organizations.
As AI transforms every industry, education systems must keep up. But true AI transformation begins not with tech, but with people. Teachers, school leaders, and learners need structured, ongoing opportunities to explore how AI works, where it’s useful, and where it demands caution. Building AI literacy today lays the foundation for responsible, innovative use tomorrow—in the classroom and beyond.
10 advanced humanoid robots are already working in real-world settings, from Tesla’s factories to retail stores.
These robots can walk, talk, fold laundry, assist in manufacturing, or even play football.
Advanced AI powers most models, some using models built by OpenAI or custom LLMs.
Robotics firms across the U.S., China, Canada, and Norway are pushing the boundaries of what AI-powered machines can do.
Teaching about robots is no longer just about future scenarios; it’s today’s reality. From engineering to ethics, the next generation needs to understand how AI and robotics shape work, society, and life. This is a powerful opportunity for teachers to connect STEM with real-world examples that spark curiosity and critical thinking.
Here are three easy-to-use tools to try this week:
Open-Ended Question: Quickly create open-ended questions and ready-to-use assessment rubrics to boost critical thinking in your classroom.
Challenge: Design hands-on, creative tasks that help students apply what they’ve learned in meaningful ways.
Vocabulary List: Generate vocabulary lists tailored to a topic, standard, or text, making word learning easier and more focused.
Start the New Academic Year with Twin AI!
This term, classrooms are meeting AI. Twin AI offers safe and easy-to-use artificial intelligence solutions for both teachers and students. With practical AI trainings, classroom-integrated tools, and personalized AI-powered student reports, make AI a natural part of your teaching journey.
This blog is presented by Twin Science, a global education technology company empowering educators through AI-enhanced learning solutions.
Why Should We Measure AI’s Educational Impact?
Why does it matter to track and measure how AI is influencing learning outcomes?
AI is rapidly becoming part of everyday teaching, from personalized learning platforms to automated feedback systems. But without measuring its actual impact, we risk treating AI as a novelty rather than a meaningful educational tool. For educators, this means asking: Is AI genuinely improving learning experiences, or just adding another layer of technology?
Measuring impact helps you distinguish between tools that truly support your students and those that simply look impressive. It allows you to connect AI use with tangible outcomes, whether that’s better problem-solving skills, improved STEM engagement, or deeper critical thinking.
What Does “Impact” Look Like in AI-Driven Learning?
How can we define and recognize genuine AI impact in education?
AI’s influence isn’t just about higher test scores. Impact shows in how students think, collaborate, and apply their learning to real-world challenges. Are they asking more questions? Are they demonstrating resilience when a project gets difficult? Are they connecting STEM concepts to social responsibility?
These are the qualities at the heart of Twin’s Learning Vision, helping learners become curious, creative, and conscientious problem-solvers. Measuring impact means looking beyond grades, toward the skills and attitudes that prepare students for a changing world.
How Can Educators Measure AI’s Effectiveness?
What practical methods can you use to assess AI’s role in learning?
Set clear, measurable goals before introducing AI tools, know what you want to see change.
Use both qualitative and quantitative data: combine test results with classroom observations, student reflections, and project outcomes.
Track skill development over time, especially in areas like critical thinking, collaboration, and self-management.
Engage students in self-assessment so they can see and articulate their own growth.
By combining these methods, you can capture the full picture of AI’s impact: academic, social, and emotional.
How does Twin’s approach influence how we think about AI measurement?
The Double-Wing Philosophy holds that true education balances competence in STEM with a strong sense of social responsibility. When we measure AI’s impact, we should evaluate both wings:
Competence: Has AI improved students’ ability to analyze, solve problems, and create in STEM areas?
Conscience: Are they using their new skills to address real-world issues, collaborate meaningfully, and think ethically?
By keeping both wings in balance, we ensure AI supports not just academic achievement, but the growth of future-ready, socially conscious individuals.
From Data to Action: Making AI Insights Count
How can you turn AI measurement into better teaching and learning?
Data only matters if it leads to action. Use what you learn from measuring AI’s impact to refine lesson plans, choose better tools, and support individual student needs. Share findings with students so they understand their own progress—and with families to build trust and collaboration.
With Twin, you can integrate AI tools that align with global education standards, track both skill and value development, and inspire curiosity through hands-on learning.
