AI literacy is becoming paramount in schools across India. With NEP 2020 and rapid advancements in artificial intelligence, educational boards and institutions are pushing AI education at an unprecedented pace.
However, when AI education is implemented at scale, there is a risk of losing focus on the larger goal — building future-ready students with strong critical thinking skills.
As AI brings large-scale standardization, it becomes even more important to nurture critical thinking in students. Critical thinking helps them retain their uniqueness and develop awareness about the use, misuse, and limitations of AI. (Read about other elements of an effective AI curriculum here.)
This raises an important question: How do we educate students about AI while simultaneously building their critical thinking abilities?
In this article, we explore practical ways to build critical thinking skills in children alongside AI education.
AI, as a tool, provides ready-made answers to almost any question. This has significantly equalized access to information — knowledge is now just a click away for everyone.
As a result, the real differentiator is no longer finding answers, but asking the right questions.
One of the most important questions students must learn to ask is:
“Is AI giving the right answer?”
If students consume AI-generated information without questioning its accuracy, bias, or context, it can become a major barrier to meaningful learning.
Moreover, human agency will always play a critical role in deciding how AI is used. Cultivating critical thinking ensures that students grow into thoughtful decision-makers who can evaluate, question, and responsibly apply AI in real-world situations.
AI tools have given us a powerful ability: creation at scale.
What once required years of expertise, hours of effort, and significant financial resources can now be accomplished in minutes — sometimes even seconds. AI has dramatically reduced the gap between idea and implementation.
This “superpower” can be leveraged to encourage students to think beyond constraints and explore creative ideas without being limited by technical feasibility.
“Everything you can imagine is real.”
Today, students can bring their ideas to life — whether it’s an essay, a story, an image, a video, or even a software tool.
Schools can amplify this by organizing regular hackathons, ideation sessions, and problem-solving challenges, where students are encouraged to think boldly and propose innovative, meaningful solutions.
Another powerful way to develop critical thinking is by introducing elements of research into AI education.
Let’s look at a simple classroom example.
Imagine students are learning image classification by training a model using labeled images of cats and dogs. Schools can use various image classification tools for this exercise. (inAI offers a classroom-ready tool to conduct such sessions.)
Once students understand how the model classifies images, we introduce a twist.
Now, we train a second model using:
Next, we present the model with an image of a black dog.
Before testing, the teacher pauses and asks:
Students discuss, debate, and form hypotheses.
After testing the model, students observe the actual result. This observation leads to new questions, refinements of assumptions, and deeper discussions about bias, data quality, and generalization in AI models.
This process — hypothesis → experiment → observation → reflection — mirrors real research thinking and naturally strengthens critical thinking skills.
When AI education is combined with creativity, inquiry, and experimentation, students don’t just learn how AI works — they learn how to think.
By embedding critical thinking into AI learning, we prepare students not just to use AI, but to question it, guide it, and shape its impact on the future.