Effective tutoring is primarily about motivation management and exposing flawed mental models. A good tutor selects exercises that reveal misconceptions, teaches students to verify their own solutions, and asks questions that guide students to discover answers themselves. This same approach — forming hypotheses about a system and deliberately testing them — applies universally: to debugging code, understanding networks, or learning any complex skill. The key insight is that learning happens through hypothesis formation and invalidation, not passive consumption of solutions.
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