It feels like just yesterday we were marveling at the idea of a chatbot that could hold a decent conversation. Now, AI is not just a novelty; it's knocking on the classroom door, and some educators are already wrestling with its implications. There's this palpable buzz, a kind of "fear of missing out" driving schools and teachers to embrace AI, as if it's a guaranteed ticket to the future of education. But as one economics teacher, An Chen, shared, after two years of integrating AI, his conclusion is a bit more nuanced: the future school might be less about dispensing standard knowledge and more about fostering unique experiences.
An Chen's journey with AI began, like many, out of necessity. He recalls struggling to make the abstract concept of "resource allocation efficiency" engaging for his students. After hitting a wall with traditional methods, he turned to an AI, DeepSeek. Within seconds, it not only provided a solid lesson plan but also unearthed a little-known web game that perfectly illustrated the concept. His students loved it, their interest piqued. This experience, and others like it, made AI an indispensable tool for his lesson preparation.
Yet, this very power that AI wields also amplifies a sense of professional unease among educators. Schools are rushing to offer AI training, pushing teachers to integrate these tools. It’s a race to stay relevant, to avoid being left behind. An Chen’s school, for instance, invested in ChatGPT accounts and AI-powered PBL modules early on. But he observes that true, deep integration is still a distant dream. For many teachers, the reality is using AI for convenience – drafting lesson plans, writing student comments, or generating interactive visuals. The experts brought in for training, while knowledgeable, often lack the frontline classroom experience to offer truly actionable advice. And for teachers already swamped with responsibilities, finding the time and motivation to explore AI's pedagogical potential feels like a luxury they can't afford.
This brings us to a more personal reservation An Chen holds: a quiet resistance to letting AI fully infiltrate student learning. He shared an experience from a school-wide training session where he presented a lesson he'd designed with AI's help. Using a virtual kingdom simulation powered by DeepSeek, students explored economic system choices. The AI provided complex simulations and predictions, a seemingly perfect example of "AI-enhanced teaching." The AI calculated optimal development paths based on student choices. But the real magic, An Chen revealed, happened when he turned off the AI. He then disclosed that the "virtual kingdom" was, in fact, 1900s Tennessee. The students, who had largely opted for AI-recommended industrial paths, were stunned. This revelation sparked a deeper discussion about historical context, human decision-making, and the gap between algorithmic logic and real-world choices.
This lesson, An Chen emphasized, highlighted the "necessity of AI" for its computational power, but more importantly, the "necessity of the teacher." The AI was a tool, but the true educational spark came from the cognitive conflict he designed, the human element that prompted genuine student inquiry. It made him question: are we overlooking something fundamental when we enthusiastically welcome AI into our classrooms? What is the true purpose of teachers using AI, and what should their relationship with it be?
Many believe the answer is simple: use AI to improve class quality, or risk obsolescence. But An Chen suggests the opposite might be true. AI might not always improve class quality, and its use might not be directly tied to being "replaced."
The Double-Edged Sword of AI in Education
First, let's acknowledge the inevitable: obsolescence is a real concern. AI's ability to provide information and explanations at near-zero cost and high accuracy fundamentally challenges the traditional role of the teacher as a knowledge dispenser. If your teaching relies on rote memorization or simply reading from slides, AI has likely already made you redundant. The only thing protecting your job right now, An Chen posits, is the physical restriction on students using computers during class. For those who are truly dedicated to their craft, the clock is ticking. With advancements in virtual human technology, students could soon have AI tutors that learn from the world's best educators, tailored to their individual learning pace and aesthetic preferences. This future, he believes, is not far off.
Second, AI doesn't automatically guarantee better classroom quality. We saw this with the widespread adoption of PowerPoint twenty years ago. While it offered a visual upgrade from chalkboards, many mediocre classes remained mediocre, with teachers becoming slide operators and students becoming note-takers. Similarly, many "AI demonstration classes" are becoming "high-tech embellishments." A literature teacher might flood the screen with AI-generated images of sunsets and sharks instead of guiding students through the text's deeper themes. History teachers might use clunky "digital humans" to "resurrect" figures like Confucius, only for students to be distracted by the awkward animation, missing the philosopher's message entirely. The truly impactful lessons, An Chen argues, are those that resonate regardless of technological aids. And effective teachers will continue to shine, with or without AI.
Returning to the Core: Enhancing the Learning Experience
Globally, a staggering 86% of students use AI in their learning. In An Chen's school, students still attend classes out of habit, but outside of class, many are heavily reliant on AI. They use it to solve homework problems, get explanations for concepts they didn't grasp in class, and even for subjects like essay writing and math, where AI can often provide more logical explanations than some teachers. Students report developing a "synergy" with AI tools like "Doubao," understanding their commands better over time. Despite teachers' warnings against using AI for assignments, especially essays and math problems, it persists. The inevitable test, however, reveals the truth. An Chen observes that AI amplifies the learning of already bright students, boosting their efficiency, while students who were already prone to cutting corners simply use AI to get by. AI, therefore, risks creating a wider chasm between high-achievers and those who struggle, further polarizing the student population.
So, back to those crucial questions: What should be the purpose of teachers using AI? And what should the relationship between teachers and AI be? An Chen's perspective is that the future school should be an "experience center" rather than a "department store" of knowledge. The true value lies in fostering unique experiences, and AI, when used thoughtfully, can be a powerful tool to achieve this, but it's the human educator who designs, guides, and ultimately inspires.
