{"id":2746,"date":"2026-06-24T20:48:24","date_gmt":"2026-06-24T18:48:24","guid":{"rendered":"https:\/\/thecuriousmindexpedition.com\/why-gifted-children-need-to-learn-how-to-think-not-what-to-think\/"},"modified":"2026-08-14T10:08:03","modified_gmt":"2026-08-14T08:08:03","slug":"why-gifted-children-need-to-learn-how-to-think-not-what-to-think","status":"publish","type":"post","link":"https:\/\/thecuriousmindexpedition.com\/en\/why-gifted-children-need-to-learn-how-to-think-not-what-to-think\/","title":{"rendered":"Why gifted children need to learn how to think, not what to think"},"content":{"rendered":"\n

The world has changed. Education is still catching up. <\/strong><\/h2><\/div>\n\n

Schools were originally designed for a world where information was scarce, careers were relatively predictable and success depended on mastering established procedures. Students memorized facts, practiced routines and demonstrated what they knew by producing the correct answers. <\/p>\n\n

That made perfect sense. When information was difficult to access, knowledge was a competitive advantage. The more you knew, the greater your opportunities. But today’s world looks very different from the one our education system was originally designed for. It will probably look even more different by the time today’s children enter the workforce. <\/p>\n\n

Today, children carry more information in their pockets than previous generations had access to in a lifetime. At the same time, artificial intelligence is accelerating change at an unprecedented pace. AI can already generate articles, summarize information, generate images, create software code and explain complex topics in seconds. That raises an important question: <\/p>\n\n

What should children learn when knowledge is available anytime, anywhere?<\/strong><\/p>\n\n

The answer is surprisingly simple: Children don’t just need to learn what to think. They need to learn how to think. <\/p>\n\n

AI gives answers, but generally doesn’t ask good questions<\/strong><\/h2><\/div>\n\n

Many people are amazed by what AI is already capable of, and rightly so. Artificial intelligence is transforming the way we learn, work, and solve problems. Their capabilities will only continue to improve. Yet AI still has one important limitation: it doesn’t think the way people do. It can generate remarkable answers, but the quality of those answers still depends largely on the quality of the questions we ask. <\/p>\n\n

Consider these two questions\/ prompts:<\/p>\n\n

“Tell something about climate change.”<\/em><\/p>\n\n

and<\/p>\n\n

“How could climate change affect food production in the Netherlands over the next twenty years?”<\/em><\/p>\n\n

The second prompt produces a much richer and more meaningful answer.<\/p>\n\n

The difference isn’t AI. It’s the quality of the thinking behind the question. That’s why skills such as critical thinking, analysis, inquiry and asking thoughtful questions becoming more valuable than ever. <\/p>\n\n

Tomorrow won’t belong to the people who simply know the most facts. It will belong to those who know how to ask the right questions. <\/p>\n\n

What will tomorrow’s children need?<\/strong><\/h2><\/div>\n\n

The job market is changing rapidly. Artificial intelligence and automation are transforming existing professions while creating entirely new ones. In fact, many of the jobs today’s children will have don’t even exist yet. As a result, the value of knowledge itself is changing. <\/p>\n\n

Increasingly, employers are looking for people who can:<\/p>\n\n