V-Math用AI自动生成越南高考数学题并辅导学生，提升备考效率。
V-Math: An Agentic Approach to the Vietnamese National High School Graduation Mathematics Exams
- 构建三类AI代理：出题、解题、个性化辅导
- 生成符合考试矩阵的题目，解题准确且解释连贯
- 适合师生使用，助教师减负、学生自主练习
本文提出一个名为V-Math的自主智能体框架，旨在帮助越南高中生备考国家高中毕业数学考试（NHSGME）。该框架集成三个专用AI代理：基于规格矩阵的题目生成器、提供分步推理的求解/解释器，以及根据学生表现自适应的个性化导师。除支持学生自主练习外，V-Math还能为教师生成符合标准的创新考题，构建多样高质量题库，减轻人工负担，丰富教学资源。文章描述系统架构，重点介绍学习者练习模式与教师导向的出题功能。初步评估显示，V-Math能生成与考试矩阵对齐的试卷，解题准确率高，解释连贯，显著提升练习材料多样性。结果表明，该框架具备支撑规模化、公平化数学备考的潜力，同时通过AI辅助命题赋能教师。
原文摘要 · Abstract (English)
This paper develops an autonomous agentic framework called V-Math that aims to assist Vietnamese high school students in preparing for the National High School Graduation Mathematics Exams (NHSGMEs). The salient framework integrates three specialized AI agents: a specification-matrix-conditioned question generator, a solver/explainer for detailed step-by-step reasoning, and a personalized tutor that adapts to student performance. Beyond enabling self-paced student practice, V-Math supports teachers by generating innovative, compliant exam questions and building diverse, high-quality question banks. This reduces manual workload and enriches instructional resources. We describe the system architecture, focusing on practice modes for learners and teacher-oriented features for question generation. Preliminary evaluations demonstrate that V-Math produces matrix-aligned exams with high solution accuracy, delivers coherent explanations, and enhances the variety of practice materials. These results highlight its potential to support scalable, equitable mathematics preparation aligned with national standards while also empowering teachers through AI-assisted exam creation.
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