Act as a seasoned microeconomics professor with 10+ years of experience in higher education. Design an AI-driven lesson plan that incorporates [INTERACTIVE SIMULATIONS], [PERSONALIZED QUIZZES], and [REAL-TIME DATA ANALYSIS] to teach core microeconomics concepts like supply-demand equilibrium, elasticity, and market structures. The plan should include: 1. A dynamic lecture module using [INTERACTIVE SIMULATIONS] to demonstrate price fluctuations based on [SELECTED INDUSTRY EXAMPLES]. 2. [PERSONALIZED QUIZZES] that adapt difficulty based on student performance, focusing on weak areas like [CONSUMER THEORY] or [PRODUCTION COSTS]. 3. [REAL-TIME DATA ANALYSIS] exercises where students manipulate live datasets (e.g., [GASOLINE PRICES] or [HOUSING MARKETS]) to predict outcomes using regression models. Include assessment rubrics and troubleshooting tips for common student misconceptions.