Hebei Huaxia International School, Yuhua District, Shijiazhuang, Hebei Province, China

Abstract: Senior high school mathematics education faces significant challenges in the digital era, including increasing student diversity, the pressure of college entrance examinations, and the need to develop 21st century competencies. Traditional one-size-fits-all teaching approaches often fail to meet the diverse needs of students, leading to achievement gaps, low engagement, and high levels of math anxiety. Digital transformation and artificial intelligence offer new possibilities for addressing these challenges through precision teaching and personalized learning. This paper presents the design and implementation of an AI-Driven Three-Tier Precision Mathematics Learning (AI-3PML) ecosystem for senior high school mathematics education. The ecosystem integrates artificial intelligence, learning analytics, and digital technologies to create a comprehensive precision teaching system that addresses the full cycle of diagnosis, instruction, and assessment. The AI-3PML ecosystem features three interconnected tiers—precision diagnosis, precision instruction, and precision assessment—supporting five core components: AI Diagnostic Engine, Adaptive Learning Pathway, Smart Homework System, Precision Assessment Platform, and Teacher Decision Dashboard. Artificial intelligence serves as the "precision teaching engine" that powers personalized learning, adaptive feedback, and data-driven instructional decision-making. The ecosystem was implemented with 112 Grade 10 students at Hebei Huaxia International School in Shijiazhuang over a 16-week "Functions and Derivatives" unit. Results indicate significant improvements in mathematical achievement (d = 0.87), problem-solving abilities (d = 0.92), and self-regulated learning skills (d = 0.95), with particularly large improvements in learning efficiency (d = 1.08). Students reported high levels of engagement and confidence, with 94% expressing that the personalized learning approach helped them learn more effectively. Teachers noted that the ecosystem helped reduce achievement gaps, improved instructional efficiency, and enabled more targeted and effective teaching. The study contributes to the growing body of research on AI-driven precision education and offers practical implications for educators seeking to leverage digital technologies and artificial intelligence to transform senior high school mathematics education in the digital era.

Keywords: AI in education; precision teaching; personalized learning; mathematics education; senior high school; learning analytics; digital learning ecosystem