Teachers Matter. AI Is Changing How They Teach
A recent article that I had authored titled ‘Why Teachers Matter More in the Age of AI’ drew thoughtful and encouraging responses from readers across diverse backgrounds. Many agreed that despite rapid advances in artificial intelligence, the role of the teacher remains not only relevant but essential. The response made clear that the question is no longer whether AI will change education, but how we must respond to that change.
This naturally leads to a deeper, more practical question. If teachers matter more than ever, what must change in how we learn and teach? What skills should students develop in this new environment? How should classrooms evolve? And how can teachers and parents prepare for these changes?
We are no longer preparing students for a world in which knowledge must be stored and recalled over long periods. Instead, we are preparing them for a world where information is readily available, dynamic and not always reliable. In this context, the central question shifts from what you know to how you deal with what you know. The real challenge is no longer access to information but developing judgment, clarity and the ability to use knowledge carefully. This requires a thoughtful re-examination of how learning happens and how teaching is organized.
Building Understanding
Students today can use AI tools to get explanations on almost any topic in seconds. While this removes many barriers to learning, it also creates a new difficulty. Students may begin to accept answers without questioning them simply because they are easily available. The problem is therefore not a lack of information but the habit of accepting it without reflection. Learning must therefore become more active, deliberate, and thoughtful.
One way to support this is through knowledge reconstruction. Students can examine AI-generated explanations of the same idea, compare them carefully, and try to understand why they agree or differ.
When two answers seem equally convincing yet do not fully align, asking why they differ often yields deeper insight than simply choosing one. Learning thus becomes an activity of reflection, not merely reception.
Another essential skill is the ability to ask meaningful questions. When students improve the framing of their questions, they often receive clearer, more useful responses. Clarity of thought leads to clarity of understanding. A well-formed question is the starting point of genuine learning.
It is also necessary to cultivate the habit of slowing down one’s thinking. A student may get a quick answer from AI but may not be able to explain it clearly. This highlights the difference between having an answer and truly grasping it. Speed should not be mistaken for depth, and correctness should not be confused with insight.
Learning Through Doubt
Deep learning often develops in situations marked by uncertainty, disagreement, or the possibility of error. Rather than avoiding such situations, they can be used to strengthen reasoning. When students are required to question what appears correct or to engage with differing explanations, they begin to think more carefully.
One useful approach is to ask students to compare their answers with those generated by AI. The purpose is to understand differences in reasoning and interpretation. Another effective method is to present students with AI-generated content that looks correct but contains subtle errors. Identifying these errors cultivates a healthy sense of doubt, which is essential in a world where information is abundant yet not always reliable. For example, a teacher may show a well-written AI response that sounds convincing and ask students what it omits or what assumptions it makes. This simple exercise helps students realize that a fluent answer is not always a complete one.
Another approach is to ask students to explain a topic to others after learning it with the help of AI. When students express ideas in their own words without referring back to the source, they demonstrate genuine clarity. This reveals gaps in their knowledge and helps improve their understanding.
Traditional education often treats learning as something that can be completed and measured at fixed points. However, in a world where knowledge continues to grow and change, learning must be an ongoing process. Students should be encouraged to revisit ideas, refine their work, and remain open to new perspectives.
This can be supported by allowing students to develop their work over time rather than treating each task as final. They can also work on problems that draw on ideas from multiple subjects, helping them see connections across different areas of knowledge. Keeping a record of questions that interest them can further strengthen curiosity and independent inquiry.
Another useful approach is to help students represent how ideas are connected. When students map relationships among concepts, they begin to see patterns and structure. AI can suggest possible connections, but students must examine and justify them.
Deep Thinking
In this changing environment, the role of the teacher becomes more important in new ways. The teacher is no longer only a provider of information, because information is already widely available. Instead, the teacher creates conditions that enable students to think more deeply and learn more effectively.
This includes encouraging questions, allowing uncertainty and promoting meaningful discussion. A teacher may present a problem without a clear solution and invite students to explore different possibilities.
While AI may provide quick answers, the teacher helps students examine, question and understand those answers more fully. When teachers share their own thought processes, including doubts and revisions, students come to understand that thinking develops over time. This fosters a learning environment where reflection, dialogue and inquiry are valued.
To work effectively in this environment, teachers need to develop new skills. They need a clear understanding of AI to guide students in using it responsibly and thoughtfully. They must design assessments that prioritize explanation, reasoning and originality rather than focusing solely on correct answers.
Teachers should be able to guide discussions, connect ideas across subjects and address ethical questions about the use of technology. Emotional understanding is equally important, as students may experience both confidence and uncertainty in response to rapid change.
Teachers must continue learning throughout their careers by trying new approaches, learning from colleagues and reading beyond one’s own subject.
Reflecting on teaching practices is an important part of improvement. Teachers must update not only their knowledge of tools but also the ways they design learning experiences. Using AI as a learning tool can also help teachers better understand its strengths and limitations.
Parents play an essential role in shaping how students approach learning. If learning changes in schools but not at home, students may receive mixed signals about what matters.
Parents do not need to become AI experts, but they should avoid both blind trust and outright rejection. Parents influence whether children view AI as a shortcut or a tool for deeper learning. When a child presents an AI-generated answer, asking the child to explain it encourages deeper thinking and helps shift from passive acceptance to active understanding.
Parents can also shift their focus from results to processes. Instead of asking only whether an answer is correct, they can ask how the answer was reached and what the child understood. Encouraging reading, discussion, and real-world experiences, alongside the use of technology, helps create a balanced learning environment.
Rethinking Priorities
When students, teachers, and parents begin to change their roles, education itself must also shift its priorities. In the past, education focused on delivering knowledge and testing how well it was remembered. In the present context, where information is easily available, the focus must shift to understanding, judgment, and the ability to use knowledge effectively.
Using AI does not reduce independence if it is used thoughtfully, but it does reduce independence if it replaces thinking. It is also important to ensure that the use of AI is appropriate for the learner’s age and level, and that access to such tools is guided with care and responsibility. Success in education should therefore be judged not only by how much students know but also by how well they think and how effectively they apply what they know.
Ultimately, machines can deliver answers, but deciding which questions matter - and how to interpret and use those answers - remains a human responsibility.
(The writer is an ANRF Prime Minister Professor at COEP Technological University, Pune, and former Director of the Agharkar Research Institute, Pune. Views personal.)
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