The article points to Norway as a striking example. Known around the world for its high quality of life, strong institutions, and successful democratic model, the country embraced classroom technology with enthusiasm. Starting in 2016, children were given personal digital devices at very young ages. Years later, according to the columnist, troubling results began to emerge, especially in reading comprehension and learning habits.
The main argument of the piece is simple but powerful: real learning requires doing. It requires practice, repetition, mistakes, effort, and independent thinking. And that, the author argues, is exactly where artificial intelligence can become a serious problem. If a machine instantly answers questions, writes essays, summarizes readings, interprets information, and effectively “thinks” for the student, then it removes the most important part of education: the mental effort that builds judgment, memory, discipline, and reasoning.
The writer is not presenting himself as anti-technology. He acknowledges that many innovations are useful and that digital tools can have value. But he argues that not every technological advance is automatically progress in every area of life. In education, he says, there is a major difference between using tools to support learning and allowing a machine to replace the intellectual work of the student.
One of the strongest ideas in the article is that education, both at home and in school, acts as a kind of basic training for civilization. Just as no one learns to ride a bicycle simply by reading a book, no one becomes a strong reader, writer, or thinker by letting artificial intelligence do the hard part. To truly learn, the brain needs repeated exercise.
The piece also compares AI to an extremely sophisticated calculator. When calculators first entered classrooms, educators eventually accepted that they could be useful, but only after students had learned the fundamentals. First you learn how to think, then you use the tool. The columnist argues that AI should follow the same logic. It cannot become the shortcut that replaces the formation of thought itself.
The article also pushes back against the modern idea that education should mainly be about finding answers as quickly and efficiently as possible. In the author’s view, the real purpose of school is not to generate instant results, but to form people who can think, remember, analyze, ask good questions, and build their own judgment. If children become dependent on AI for everything, they may grow up with less intellectual independence.
One of the most memorable lines in the piece is that all the old clichés about children learning by doing are actually true. And that is precisely why the author sees AI as risky in classrooms: because it removes the “doing,” which is the foundation of deep learning.
The article also warns that this is not just a teaching issue, but a cultural one. Society’s fascination with new technology can push schools and education systems into trends that look modern and exciting, but may end up damaging fundamental human abilities. Instead of rushing to flood classrooms with AI, the writer argues that schools should focus on strengthening reading, writing, memory, comprehension, and critical thinking.
The conclusion is clear: in the AI era, education should not train children to depend on automatic answers. It should prepare them to ask better questions, understand why an answer may be right or wrong, and develop the intellectual maturity needed to avoid becoming passive users of a machine.
In other words, the warning is blunt: if artificial intelligence does the work for students, students may stop developing the mental tools they need for life.
No comments:
Post a Comment