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This article shares a lecture for middle‑school math teachers on integrating AI into everyday teaching, presenting three AI roles, a four‑step teaching workflow, and a four‑element prompting model to boost efficiency, collaboration, and professional insight.
This preface introduces a comprehensive, experience‑driven guide that explains the value of mathematical modeling, outlines a unique "situation‑thinking‑method" framework, details the book’s structure and features, and calls educators to join a community for advancing modeling education.
The author reflects on how a recent data mining lecture ignited a deep curiosity, linking intrinsic motivation, educational design, and emerging AI tools, and argues that truly satisfying students' thirst for knowledge requires personalized, technology‑enhanced approaches that go beyond superficial classroom tricks.