Why Keeping AI Out of the Classroom Is the Wrong Answer

Some schools and districts across the United States are reassessing the role of technology in the classroom. Phones are being banned (understandably so), and screen time is being capped. In some districts, schools have reduced or limited classroom technology use in response to concerns about distraction, screen time, and the broader effects of digital media on students. While the motivation behind these restrictions is clear, the implementation is frequently flawed and excessively sweeping. The long-term repercussions for the upcoming generation could far outweigh the immediate issues these measures seek to address.

The issue at hand is not so much whether children should be protected from technology. Removing personal devices like phones from classrooms can be a reasonable step. Some studies have suggested that reducing device use during the school day may support focus and in-person social interaction. But restricting access to computers, AI tools, and structured technology is an entirely different decision with far heavier consequences. With thoughtful leadership, proactive guidance, and a clear alternative education, students can be prepared for a world where AI is becoming an increasingly common part of learning, work, creativity, and communication. For Elizabeth Tweedale, founder of Coco Coders, this is clear. Some educators and advocates argue that limiting access to technology may reduce opportunities for students to develop digital skills, particularly for those who may have fewer resources outside of school.

The company’s programs teach children not just how to code, but how to think alongside AI, how to question and challenge it, use it creatively, and understand what it can and cannot do. That kind of education does not happen by accident, and it certainly does not happen when schools respond to the complexity of AI by simply taking the computers away.

The concern driving many of these restrictions is justified. Children are spending more time on screens than ever, and not all of that time is purposeful or healthy. But there is a critical difference between unstructured, passive screen time and structured, inquiry-based learning that uses technology as a tool for discovery. Conflating the two leads to policies that punish curiosity in the name of caution. When a child uses AI to generate a coloring page in art class, then examines how the image was produced and what choices the model made, supporters say this type of activity can help introduce foundational concepts related to AI and digital literacy. When a science class uses an AI tool to explore a hypothesis and then interrogates the output for accuracy, Children may be developing critical reasoning and problem-solving skills through these activities in ways that differ from more traditional classroom exercises.

This is what Elizabeth and the team at Coco Coders have consistently advocated for: an approach that integrates technology across subjects rather than isolating it in a single computer science class that many students will tune out or never take at all. AI literacy is not a standalone subject. It is a lens through which any subject can become more engaging, more relevant, and more connected to the world children are actually growing up in. Keeping it confined to one elective period, or removing it from schools entirely, sends a clear message to children. The technology shaping your future is not something we trust you to understand. That message is both inaccurate and damaging.

The damage compounds quickly. Children who do not receive structured exposure to AI and technology in their early years may have fewer opportunities to build the confidence, familiarity, and vocabulary needed to engage with emerging technologies as they progress through school and into the workforce, where systems make consequential decisions about them every day. From the algorithms that will screen their job applications to the AI tools their future colleagues will use fluently as a baseline skill, some observers suggest that differences in early exposure to technology can contribute to skill gaps that may become more noticeable over time.

Parents who are anxious about AI in schools are not wrong to ask questions. Those questions deserve real answers, not blanket restrictions. The conversation Elizabeth believes is worth having is not whether children should engage with AI, but how to ensure that engagement is purposeful, critical, and age-appropriate. There is a meaningful difference between a child who scrolls passively through an AI-generated feed and a child who has been taught to ask why the feed looks the way it does, who built it, and what it is optimizing for. That difference is learned, and it is learned early or often not at all. 

Coco Coders exists to close that gap before it becomes permanent, reaching children in the years when curiosity is highest, and the foundations of how they see themselves in relation to technology are still being formed. The programs are designed to meet children where they are, in small groups that allow for genuine interaction and personalized learning, connecting coding and AI concepts to real-world problems across industries and career paths. The goal is not to turn every child into a programmer. It is to make sure that no child grows up feeling like technology is something that happens to them, leaving them out of reach of their personal and professional success. Rather, it’s something they can shape, question, and use with confidence. 

Policymakers, educators, and school administrators generally share the goal of supporting positive outcomes for students, even when they differ on the best approach to technology in the classroom. But restricting access without offering a thoughtful alternative is not protection, but rather, avoidance. Advocates argue that decisions about technology access in schools can have longer-term implications for students’ educational and career opportunities.