Every student has a real starting point. Most classrooms never find it. That's what we build at Chaos Theory: learning programmes for schools, colleges and educators, including a year-long AI subject for schools. I write here about AI in classrooms and building in India.
@TEXTUP_ Grading the product, not the thinking, is the right way to put it. The harder question is what replaces coursework for the slow skills an exam room cannot test, like research and revision.
@smartinmot2014 Students can tell feedback written for them from feedback produced to fill a box. If AI takes over the tick-box part, the time it frees should go into that conversation, not into more marking.
@JakeWSimons The split that matters is not book versus chatbot, it is whether a child has an adult checking their thinking. An AI tutor with no teacher behind it is cheaper, not better, and that is the part worth arguing about.
@connectajitcpr Competing globally in deep tech is mostly a patience problem. Indian startups are rewarded for fast revenue, and deep tech needs years of building before the first sale, so the talent is here but the timelines rarely are.
@danpdc Going from 1000 lines to 80 is a great exercise because students see the cost of noise for themselves. Using a coding agent and knowing what it is actually reading are two different skills, and most curricula teach neither yet.
@Dipanshu_AI Point 5 is the one schools should start with. The same tool that sharpens a student who checks its answers makes a student who copies them weaker, so questioning AI output has to be taught early, not left to chance.
@Ideas4India Economic pressure, paperwork and missing information are quieter barriers than a missing school building, which is why they rarely show up in enrolment totals. Field accounts like this show where the system actually loses the child.
@ahamam101 And who notices that the AI was wrong in the first place. That judgment is the part of teaching that gets more valuable as AI gets better, not less.
@arnaudmercier The real test of Study Mode is whether it is allowed to say no. A tutor that hands over the answer the second time a student pushes is still a lookup tool, just a politer one.
@Saurabh_TyagiX The missing step in that list is building one real thing before college ends. A degree says you sat through the years; one project you can explain says what you can actually do.
@cneuralnetwork Reading code you could have just used is underrated. Most learners stop at the API call, and the ones who open the file and trace one forward pass are the ones who can debug it later.
@JaiOnX20 The debugging line is the one students should hear early. AI makes the first draft cheap, so the skill that gets paid is knowing why the draft is wrong.
@TaniaPalijo Education vs AI dependence is the one that will matter most in ten years. The goal is not students who avoid AI, it is students who can tell when they have stopped thinking for themselves.
@Rdene915 Going beyond the tools is the right frame. Teachers rarely need another app; they need clarity on which part of the lesson AI should take over and which part it should never touch.
@briskteaching Visibility is a good start. The harder question for school leaders is not which tools are in use but whether any of them is moving learning, and that needs evidence, not just an inventory.
@Dale_Chu Makes sense that the two meet. Parents are not against technology, they are against anything that takes the human relationship out of learning. Products that strengthen the teacher will win that argument.
@CtrEdEcon@drvickip The line I would draw is AI after the first attempt, never before it. A student who has wrestled with the text first asks the AI far better questions.
@MattRhoads1990 This is the right test. A tool that makes students retrieve, space and get quick feedback is worth paying for. One that writes the answer for them just makes the gap look smaller on paper.