Most classrooms are currently using AI as a chat-based tool, but effective learning goes beyond simple Q&A—it comes from building, testing, and iterating. In my experience with Candor Data Platform, the difference is in how AI is used. Instead of only asking questions and receiving answers, students can: Define a problem Generate structured code (Python/SQL/JavaScript) Test, debug, and iterate on solutions This shifts AI from being just a chatbot to a more guided development environment. The transition is straightforward: From prompting → to problem-solving If the goal is to help students develop real technical skills, then tools and workflows that encourage structured thinking and iteration become far more valuable than simple conversational interfaces.