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When training educators to use AI, we must not outsource the essential work of teaching

Embracing AI in Education: A Double-Edged Sword

One of the most exciting aspects of teaching is witnessing the moment a student uncovers a new understanding or concept on their own. Such was the case in my third-grade classroom, where a student had been working on a catapult project. Through his own experiments, he discovered the correlation between the length of the lever arm and the distance of the projectile. This discovery was not only a triumph of physics and mathematics, but also a testament to the power of self-guided learning. The student’s triumph serves as a poignant reminder of the importance of nurturing curiosity and independent thinking in education.

However, the current trajectory of integrating Artificial Intelligence (AI) in education raises concerns about the potential erosion of these core values. The recent $23 million partnership between the American Federation of Teachers, Microsoft, OpenAI, and Anthropic to train teachers to use AI for lesson planning and communication, left me feeling uneasy.

AI: An Aid or a Crutch?

As an elementary school teacher and an independent researcher on AI and education, I can appreciate the benefits that AI can bring to the field. It can save precious hours on administrative work, such as writing newsletters and organizing student data. However, the potential risk lies in outsourcing fundamental teaching activities to AI. When we replace human judgement with algorithmic thinking, we risk prioritizing the product of teaching over the learning process.

Many of my colleagues share similar apprehensions, particularly in relation to plagiarism and cheating. As AI becomes more integrated into education, it becomes increasingly challenging to assess genuine understanding versus AI-assisted responses. The root of the problem lies not within the technology itself, but in our tendency to prioritize finished products over the process of learning.

The Role of Teachers in an AI-Driven World

What educators need is not training in how to use AI for lesson planning, but professional development that fosters human connection, facilitates real research, and nurtures curiosity and critical thinking in students. The boy in my class who discovered the principles of physics through his catapult project required not a structured lesson plan, but the freedom to explore, the materials for experimentation, and the time to follow his curiosity.

Our children don’t need AI-generated feedback or faster lesson plans. They need educators who can stimulate curiosity, model intellectual courage, and foster environments where creativity flourishes and real-world problems are solved. The future belongs to those who can blend computational tools with human wisdom, ethics, and creativity – a balance that requires us to maintain cognitive independence and control over AI systems.

The most profound learning experiences often occur in the spaces between traditional subjects, in the questions that arise from genuine curiosity, and in the collaborative thinking that builds knowledge through relationships. Such experiences can’t be replicated by AI systems, and we shouldn’t strive to do so.

As the integration of AI in education continues to evolve, it’s crucial that we adhere to principles that prioritize genuine learning, curiosity, and human connection over productivity and efficiency. Only then can we truly harness the power of AI without compromising the essence of education.

For more news on AI in education, visit eSN’s Digital Learning Hub.

About the Author

Timothy Cook, M.Ed., is a third-grade teacher and independent researcher exploring the impact of AI on education. He regularly writes about cognitive development and technology for Psychology Today.

Originally published on Chalkbeat.

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