Knowledge scarcity, comprehensive expertise, and individual self-sufficiency helped shape industrial education. AI changes not only access to information, but also the division of cognitive work and the systems that produce knowledge. As the frontier of AI capability moves, how should education understand human ability and value?
A conditional thought experiment: if AI surpassed humans at every cognitive task, education would become a deliberate social choice rather than a necessity for production. During a potentially long transition, the essay proposes defending one’s work: people must substantiate the results they present, while schools provide credible evidence of that ability.
CMU’s database course points toward assessment built around submitted work: showing what students have learned and developing their ability to keep working with AI-assisted results.
Teachers are turning classroom experience into reusable digital tools. What changes when they can help design the software they teach with, and what support will they need?
College Planner points beyond answering a student's question toward managing ongoing goals, records, and tasks. What would an education product organized around the learner look like?
Writing, printing, calculators, school systems, and MOOCs offer ways to understand how AI may change learning—and where historical analogies reach their limits.
Six illustrated findings from Instructure’s higher education EdTech Top 40: external Canvas tools, leading products, institutional requirements, and AI integration.
How does AI change education? An essay on knowledge scarcity, comprehensive expertise, individual self-sufficiency, and a new division of cognitive work.
Why learn if AI can do every cognitive task? A thought experiment on education's purpose, followed by an argument for assessing and defending AI-assisted work.
I thought I knew words like check, charge, and over. A teacher showed me how to look beyond their Chinese translations—and I turned that way of learning into a Skill.