Raising Curious, Capable Thinkers
AI has created a new phenomenon: people can produce credible work without becoming credible thinkers.
This matters, especially in early school years, when young children are just learning how to think.
As their brains grow, children are developing the curiosity, memory, persistence, and judgment that will shape not only what they learn, but how they learn for the rest of their lives.
These abilities need time to develop when children have the space to imagine, try, and discover.
Will learners notice something worth wondering about? Will they stick with a problem until they find an answer? Will they draw on their own knowledge and lived experiences? Will they risk being wrong, form a judgment, or contribute something new?
Will they still want to think?
These are questions at the heart of humanistic learning in the age of AI.
What is Humanistic Learning?
A teacher follows up on an unexpected question. A child searches for a word, wrestles with an idea, or hears a classmate answer a problem differently. Children laugh, argue, explain, reconsider, interrupt, demonstrate, and try again.
These moments may not be efficient, but they build curiosity, knowledge, and confidence. The goal is not faster answers. The goal is the emotional and human rewards of discovering something new.
This is humanistic learning.
Curiosity Gives Children a Reason to Explore
Curiosity is not a warm-up for learning. It is where learning begins.
Children think more deeply when something matters enough for them to ask their own questions and want to learn more.
Curiosity can begin with noticing something: a pattern that does not make sense, a story that feels unfinished, or an idea that challenges what a child believes.
Learning then becomes something children pursue, not something they receive.
To do this, young children need time to wonder before an answer appears. They need room to follow unexpected thoughts and decide which questions deserve their attention. They want to learn more when the motivation comes through their own inquiry.
Knowledge and Productive Struggle Build Capability
If curiosity starts the journey, knowledge and persistence enable children to follow it.
Knowledge matters. Children need to know how to read, write, and compute. They need to know important facts, events, and concepts that are foundational to each subject so they can work with those skills and knowledge.
But knowledge is just the beginning.
We build a child’s capability to learn when they are challenged and must do the work that learning requires. Learning deepens when students must actively recall and connect prior knowledge, test a point of view, and revise it when necessary. This helps them understand not only their answer, but why their conclusions make sense.
Then they “own” what they know.
Teachers and Peers Make Learning Human
Children develop curiosity, knowledge, and persistence through relationships.
Skilled teachers notice confusion, adjust an explanation, offer encouragement, and know when to help or wait. They do so much more than deliver information. Teaching content and building relationships are not separate tasks, they go hand in hand.
Engaged peers matter just as much. They ask unexpected questions, see problems differently, disagree, cooperate, and bring experiences no lesson can predict.
When children explain their ideas to one another, they understand them better. When they hear a different answer, they also learn that knowledge can be discussed, shared, and even expanded, rather than simply received and repeated.
This is a humanistic learning environment.
What is the role of AI?
AI can help teachers by freeing up time from mundane tasks. It can produce creative presentations for class instruction, adapt explanations, and offer informed support for individual student challenges. Used well, it gives teachers more time to listen, question, guide, and notice what each child needs.
In more personalized contexts, AI can offer a helpful prompt, a well-timed hint, or immediate feedback that might otherwise be unavailable or delayed. It can nudge a reluctant learner just when she needs encouragement. The difference lies in whether the technology supports the child’s thinking or performs it for them.
If used well, AI creates more space for human learning.
But this benefit is not automatic. If schools use AI to add more tasks, teachers gain little. If AI gives children answers before they have formed ideas of their own, children will produce better work without building stronger minds.
Making Space for Humanistic Learning
Education should ask more than: “What does this child know?”
It should also ask, “What can this child do with that knowledge? What can they add?”
The goal is for every child to be able to say: “I have something to contribute.”
AI can make education more effective, but it only helps the child when it builds their mental capability and makes learning meaningful. The opportunity is when AI makes room for the critical human growth and experiences. This is how children naturally become more curious, capable thinkers.
Humanistic learning in the age of AI means using technology when it can create space for children to think more deeply, explore more widely, learn more actively with others, and ultimately want to contribute something that is uniquely their own.
Cynthia Harrison Barbera
Cynthia Harrison Barbera is President and CEO, StoryWorld International. She served as VP Educational Technology for Scholastic and is the recipient of two US Presidential awards for educational programs. An Emmy-award winner for a television series on education, she has taught English to native-speakers and ELL students in the US and overseas.