Building Thinking that AI Cannot Replace in Middle School

In Middle School, WAB students connect strong disciplinary knowledge with critical thinking and analytical use of technology. Learning the IB Middle Years Programme is organized into eight subject groups with students building bridges between them through interdisciplinary units, projects, and personal interests. Complex questions rarely sit inside one subject, so students need the depth to think like mathematicians, scientists, historians, artists, and linguists, and the skill to connect that knowledge in new situations. 

That depth of knowledge is especially important today, as Director of Innovation in Learning and Teaching Stephen Taylor explains, AI can “confabulate,” meaning it may generate information that sounds confident and convincing, but is inaccurate or invented. Without a strong base in science, history, mathematics, language, and the arts, it becomes harder for students to notice when an answer is plausible but wrong. This is why knowledge remains essential. Future-ready learning is about helping students build deep learning, research and knowledge and combine it with the skill to apply, question, and extend what they know. 

The MYP is designed with this in mind. Across subjects, assessment criteria look not only at what students know and understand, but also at how they apply knowledge, investigate, communicate, create, analyze, and evaluate impact. Students are expected to move beyond memorization and use their learning in unfamiliar contexts. That kind of thinking is what helps students, and adults, use AI as a tool for deeper learning and not a shortcut around it. 

You can see this in action in units like the Grade 8 Mathematics and Design interdisciplinary project, where students use mathematics to program robot movement through a maze. To make the robot move accurately, they need to understand geometry in practical ways: how distance relates to wheel circumference, how angles affect turns, and how measurement and modeling help improve a design. They draw on mathematical reasoning to calculate and test, design thinking to prototype and refine, and communication skills to explain how and why their solution works. 

In science, students are also asked to think deeply and put their learning to work. The criteria remind them that science is not only about knowledge and understanding; it also involves investigating questions, analyzing evidence, and evaluating the impact of science on society. Students learn to ask: What does the evidence show? What are the possible consequences? Who benefits? Who might be affected? 

As the next step up from Elementary School, Middle School students use AI in carefully guided and protected environments. Tools such as Flint and Toddle are selected by the school, monitored where appropriate, and introduced with clear expectations. Students are encouraged to reflect on the role AI is playing in their learning: Is the AI helping me develop my thinking, or replacing the thinking I need to do myself?  When is it useful? When is it risky?  

Families can support this at home through simple conversations. When your child shares a project, an answer, or something they found online, questions like “How do you know?”, “What evidence helped you decide?”, or “Where did that information come from?” reinforce the same habits students are practicing at school: checking sources, explaining reasoning, considering different perspectives, and noticing how tools can shape what they see. 

Over time, these habits help young people use AI and other technologies with intention, accuracy, and care. 

This year, through our Innovation Series, in collaboration with Stephen Taylor, our Director of Innovation, we’ll be sharing stories and examples of what innovation looks like across WAB. We’ll share stories from classrooms, examples from alumni, and insights from global partners. Our hope is that together, we can build a clearer picture of how innovation at WAB helps our students become better learners and prepared for life beyond WAB.