Một số biện pháp phát triển “năng lực vận dụng toán học” vào cuộc sống trong dạy học Xác suất và thống kê cho học sinh trung học phổ thông

Tóm tắt

In the context of the digital economy and the explosion of the Fourth Industrial Revolution, data-driven thinking, probability analysis, and risk management have become essential survival skills for modern citizens. Probability and Statistics serve not only as a pure mathematical branch but also as a key tool for deciphering complex socio-economic phenomena. However, current teaching practices in high schools reveal a significant gap between abstract mathematical theories and practical application. Students often struggle to connect probabilistic formulas with volatile real-life situations, leading to passive learning and a lack of career orientation. This study proposes three pedagogical measures: designing real-world-based learning situations; organizing activities to solve Probability and Statistics problems through mathematical modeling processes; and encouraging students to proactively propose and design problems with practical contexts. Integrating the modeling process into teaching Probability and Statistics not only helps students remove the barrier of pure theory but also forms data driven thinking and risk management skills core competencies in the digital era.