AI AND EDUCATION 2030 — THE STUDENT
AI AND EDUCATION 2030 — THE STUDENT PART I — ANSWERS ARE NO LONGER THE SCARCE OBJECT Output Collapse 1.1 OUTPUT ≠ CAPABILITY 1.2 Homework after machine generation 1.3 Why take-home assessment loses signal 1.4 Answer acquisition versus learning 1.5 When the rational student should simply use AI 1.6 What remains scarce after answers become abundant The New Student Objective 2.1 Get the answer when the answer is sufficient 2.2 Recognize when the answer is not sufficient 2.3 Question ownership 2.4 Reconstruction instead of retention 2.5 Judgment under novelty 2.6 KNOWN PROBLEM → ANSWER ; UNKNOWN PROBLEM → RESEARCH The existing draft correctly identifies output/capability separation, but still makes individual capability the endpoint. PART II — THE COURSE BECOMES RECURSIVE From Fixed Course to Living Course 3.1 The 20-year professor course 3.2 Why AI destroys slow curriculum revision 3.3 Course as granular dependency graph 3.4 Every unit has an executable exit condition 3.5 Students t...