Why AI in Education is Not the Death of, But the Revolution of Critical Thinking

Apr 20

One of the fastest-growing fears in education today is that artificial intelligence (AI) in classrooms signals the end of critical thinking. While debates persist, some educators and industry voices suggest that AI provides an opportunity to use critical thinking in new ways, instead of erasing it. In a recent article on Digital Journal, Elizabeth Tweedale, CEO of Coco Coders, believes the fear of AI integration overlooks an essential perspective. When used intentionally and carefully, AI can actually foster and improve students' critical thinking.

From Rote Learning to Real Problem-Solving

Critical thinking has been an important goal in education for a long time, but its role is evolving. Elizabeth distinguishes critical thinking from memorizing facts or following a trail of guided steps. Instead, it involves identifying the deeper, underlying questions, deconstructing problems, and separating challenges into parts that can be approached in creative or cross-disciplinary ways. It means moving beyond a single correct answer and learning to iterate, reflect, and ask better questions.

Coding is a clear example of how critical thinking can be experienced in the contemporary classroom. When children learn to code, they are not just learning a technical skill. They learn to reason, to experiment, and to debug. They might start with a simple coding block, but further down the process, they are asking, "Should I use a loop or a clone? What happens if I try a different approach? Why did my solution not work the way I expected it to?" These are the beginning sparks of critical thinking: connecting concepts, testing ideas, and reflecting on their work.

AI as a Thinking Tool and Not a Shortcut

Elizabeth sees AI's real value in education not as providing automatic answers, but as serving as a thinking tool. A student implementing critical thinking does not submit the first essay an AI bot drafts or accept its suggestions without diligent review. Students should see AI-generated outputs as starting points that prompt new questions and encourage refinement of their own ideas.

As Elizabeth explains, "A critical thinker would read whatever the output from AI is and use it as a tool to form new thoughts, ask new questions, and refine their topic." Rather than taking what comes out of an AI as the final answer, students are encouraged to ask, "Why did the AI suggest this? Is this the only way? How could I improve or challenge this?" This process encourages deeper, more layered thinking. Students apply their own logic and judgment, using AI to speed up feedback and push their thinking further.

Foundational Knowledge Still Matters

A common worry is that AI will erode essential knowledge and retention. But Elizabeth points out that this shift has happened before. Most people do not memorize phone numbers anymore, just as doctors now check dosages or alternatives on digital devices. Her mother, a physician assistant, saw this change firsthand. Where practitioners once memorized hundreds of drug names and doses, today's clinicians use their understanding to know what to look up, when, and why. It is not the facts themselves, but the relationships between them that matter most.

In coding and AI education, students develop a foundation of logic, reasoning, and computational thinking. They learn which pieces of information to store in their minds and what can be supplemented by technology. The most valuable skill is knowing how to find accurate information quickly, connect that information to the problem or a question they’re trying to solve, judge its quality, and apply it in new ways. To support this, Coco Coders has developed their courses to build these skills with their students. They use a 70/30 human-to-AI model: 70% of the work must come from the student’s own thinking, and 30% can be supported by technology. This constraint is intentional. It ensures that AI accelerates learning without replacing the cognitive effort required to develop real understanding. Students are reminded of the importance of their own thought processes. It’s a framework that uses technology and AI as a tool, not a crutch.

Building Critical Thinking with Coding

It's easy to believe coding and AI education are only for STEM-inclined students. At Coco Coders, their project-based, theme-driven approach encourages hands-on, visual, and creative learners to engage just as much as those gamer/techy kids in the courses. Whether designing a coin-catcher game, solving real-world problems like ocean conservation, or telling interactive stories, every project is a new opportunity for students to practice critical thinking.

For example, Elizabeth's daughter is more interested in drawing and storytelling than technical subjects, but she enjoys coding because the themed projects allow her to dive deeper into her imagination. By integrating art, storytelling, and world-building, coding becomes accessible to all children, not just future computer scientists. This diversity is intentional. Coco Coders regularly audits students' experiences to shape its four-week themed modules around their interests, from engineering to conservation to creating virtual worlds.

Designing for Real Engagement

What keeps students coming back isn't just the technology, but the genuine feeling found in the curriculum. After a 10-week launchpad to build foundational skills, students move through rolling four-week modules, each built around a new theme with a real-world connection. “This ongoing four-week project length, we’ve found, is the perfect sweet-spot timeline for kids,” Elizabeth says. It balances the time long enough for students to develop genuine foundational skills through the first 10 weeks, and short enough with the following rolling four-week projects to sustain curiosity and momentum. Progress is measured not just by technical proficiency, but by students' ability to communicate their thinking, collaborate with peers, and explain the reasoning behind their choices. These are skills that will be valued well beyond their education and into their future careers.

Preparing for a Dynamic, AI-Enabled World

As every industry evolves and integrates AI, so must education. Like the arrival of the smartphone, AI changes what people store in their minds and what they search for, making discernment more essential than ever. Knowing when to trust technology and when to question it. At Coco Coders, students are taught not to ask whether AI can solve a problem, but how to use AI to improve their solution and what the best next question to ask is.

With strong foundations, guided inquiry, and real-world projects that actually reflect students' interests, kids are not just becoming comfortable with technology. They are becoming confident in questioning it, building with it, and eventually leading with it.

What Elizabeth sees on the horizon is not a future to be feared. The question is no longer whether students will use AI. They already are! The real question is whether education will evolve quickly enough to teach them how to think in a world where answers are instant, giving them the tools to think critically alongside these technologies rather than depending on them. This should not be the end of critical thinking. It’s the moment critical thinking becomes essential.

Read the article on Digital Journal

Don’t let your child fall behind in a fast-moving digital world. Help them build the critical thinking skills they need to thrive.