Hi, I am Kee. Before I became a teacher, I worked as an interpreter, serving high-profile
clients including the Backstreet Boys. I was also an event planner, hosting hundreds
of parties for English learners across Chengdu. Over the years, I worked my way up to
become an expert in English teacher, as well as an EdTech solopreneur, which is really
just a fancy word for a one-person company. So I worked for this AI native dictionary
service called DynaSaurus, which actually I've read codehead by myself. So I've spent
years mastering the mechanics of language, but not too long ago, I found myself standing
in a crowded language training classroom right here in Chengdu. The Air Conditioner was
humming. The fluorescent lights were buzzing, casting this dull, sterile glow over everything,
and I was actually quite exhausted. I was looking out at a sea of students who were desperately
trying to memorize vocabulary lists, and grammar rules just to pass them standardized tests,
they were stressed out, and I was burned out. We were all trapped in what I call the information
cocoon. And in this cocoon, the dynamic is simple, but deeply flawed. The student is a passive
consumer, and the teacher, me, is an ultimate bottleneck of knowledge. My job was to stand at
the front of the room, memorize the textbook, and then the last name, after that, pull that
data into my students' hands. So in the past, the information gap was incredibly difficult
to fail, which is why that system worked for centuries. But today, we are drowning in data
and yet we are starving for actual understanding. And then, the paradigm shifted, artificial intelligence
arrived, tools like Gemini, hit the mainstream, and suddenly, the entire education industry
actually panicked. School managers were terrified of cheating, teachers were terrified of
obsolescence. And honestly, for brief moment, I was terrified too. Here comes a machine that could
generate essays, solve complex equations, and translate languages in milliseconds. It was a faster,
smarter, infinitely more patient content provider. If an AI could do all of that, then what was
my purpose? Why was I standing at the front of the room? But that fear quickly turned into an epiphany.
This realization gives me the courage to leave the traditional institutional system entirely
and build my own AI powered courseware. But I quickly realized that simply giving people
AI tools wasn't enough at all. You can hand somebody a supercomputer, but if they don't know how to
ask the right questions, then it's just a very expensive paperweight. The chooses. Loop engineering
is much more important than the AI itself. We have to fundamentally change how we learn right now.
And learning is no longer about acquiring data. Learning is simply mastering the art of learning
how to learn. So to bridge this gap, to bridge this gap, I had developed a learning operating system
for the AI era. I call it the DynamOS. And unlike operating systems that rely on flashy
interfaces, this one delivers results through a core concept, I call the R.U.A. method. It stands for
recognized, understand, and apply. Fast to recognize, in the past, learning meant staring at a
textbook chapter. But today, recognizing means identifying the core boundaries of your learning
target so you can prompt the AI correctly. It's the art of asking the right questions. For example,
when learning a new word, it don't just want us for definition. The AI to recognize the meaning,
form, and pronunciation. The main gap between you and your learning target.
And second, to understand, this is where you synthesize. AI is not perfect. It hallucinates
when given ambiguous prompts. So understanding is not just memorizing intrinsic meanings.
It's grasping contextual application. AI can explain quantum physics to you like a
5-year-old or like a PhD student. It can adjust its tone, offering a gentle suggestion, playful
and that dial until the concept clicks in in your specific human brain.
And thirdly, to apply, you execute the knowledge in the real world. You find the friction,
because we all know that practice makes perfect. Where did you fail? Where did the AI hallucinate?
The AI should be able to analyze your learning gap based on where you currently are and generate
a proper practice task. You take the friction, and you feel that right back into the
recognized phase to start the cycle again. The AI method isn't a study hack. It's a survival skill.
It should be ingrained into our cognitive operating system.
One of us started solopreneur a business. I wasn't a coder. I wasn't a marketing guru.
But using R.U.A., a partner, was AI to build out my courseware step-by-step.
I didn't as AI to do it for me. I asked it to coach me. I asked it to recognize my task
understand the market, and then coach me to build the tools I'll be implementing across my classrooms.
But I know the AI university students and educators in this room right now
were deeply anxious. Administrators, you might be thinking, if students is AI to do their work,
the integrity of education is gone. And students, you might be feeling guilty for using these tools,
hiding them in the background. But why? When books were appeared, the people tried to
hide them because they helped carry knowledge outside of our brain.
We need to stop treating AI like a cheating device and start treating it like a cognitive
exoskeleton. So when a student uses AI to bypass the apply phase,
like just copying and pasting an essay, that is the cocoon, that is passive consumption,
but when a student uses the R.U.A. method to debate with an AI, to challenge its logic,
to generate five different perspectives on a historical event before running their own synthesis.
That is, bridging the gap, and that is active creation.
I am a learning architect, so as a learning architect, my job as to design experiences that
proved this dynamic works. In fact, I designed one for you today.
Everything you have experienced for the last 12 minutes, the structure of the speech,
the narrative arc, the pacing, even the core outline I submitted to the TEDx
organizes, was not created by me sitting alone in a dark room, staring at a blank document.
It was co-architected with my AI agents. So I found the AI the raw and vulnerable materials of my
burnout in Chengdu, my transition to a solopreneur, the mechanics of the R.U.A. method,
and I acted as a human strategist, given that the strict parameters of the TEDx format,
and then the AI acted as a computational engine, helping me structure the data.
In fact, the entire RA, the whole process can be embedded into a single prompt, an AI agent,
or a building logic behind any application. So I recognize the target. We understood the context
and today, on this stage, I am applying it. I hope this can be the proof. The proof of the synergy
of human vulnerability and strategic direction combined with AI's massive computational power
creates a far superior outcome that either of us working in isolation.
We are standing at the edge of the greatest educational revolution in human history right now,
but technology alone will not save us from the information cocoon.
Only a shift in our identity will do that. So to the students in the room, stop being passive
consumers, stop letting the system spoon-feed you the data that you will forget the day after the exam,
step outside the box, use these tools to challenge your mind and become the architect of your own
education. And to my fellow educators, please step down from the podium, relinquish the
heavy exhausting burden of being the content provider. Your students don't need you to be a textbook
anymore, and they need you to be a human. They need your empathy, your mentorship, and your coating
to help them navigate in the world that is changing faster than ever before.
Learning is and always will be simply about learning how to learn.
So why don't we let AI handle the data and let us handle the humanity?
Thank you.