AI辅助在实践数学跨学科教学中的意义

The Significance of AI Assistance in the Practical Implementation of Interdisciplinary Mathematics Teaching

摘要: 随着核心素养导向的新课程改革深入推进，跨学科教学已成为初中数学教育的重要发展方向。然而，一线教师在实践过程中面临自身知识结构、课时安排、资源获取等多重内外部限制。人工智能(AI)技术的迅猛发展，特别是生成式AI和大语言模型(LLM)的普及，为破解这些困境提供了全新的解决方案。本文旨在系统阐述初中数学跨学科教学的重要性，深入分析当前教师面临的实践局限，并重点探讨AI技术如何在教学准备、场景创设、过程实施与效果评估等环节提供辅助，剖析AI辅助对于提升跨学科教学可行性和教学效果的深远意义及其潜在风险，并结合具体知识点设计可行案例，提出“教师主导的AI赋能跨学科教学模型”(TAI-ID)，为一线教师提供实践建议与未来展望。

Abstract: With the in-depth advancement of the new curriculum reform oriented by core competencies, interdisciplinary teaching has become an important development direction in junior high school mathematics education. However, frontline teachers face multiple internal and external constraints in the practice process, such as their own knowledge structure, class hour arrangements, and resource acquisition. The rapid development of artificial intelligence (AI) technology, especially the popularization of generative AI and large language models (LLMs), provides a brand-new solution to break through these dilemmas. This paper aims to systematically elaborate on the importance of interdisciplinary teaching in junior high school mathematics, conduct an in-depth analysis of the practical limitations currently faced by teachers, and focus on exploring how AI technology can provide support in links such as teaching preparation, scenario creation, process implementation, and effect evaluation. It further examines the profound implications of AI assistance for enhancing the feasibility and effectiveness of interdisciplinary teaching, along with its potential risks. By incorporating specific knowledge points to design feasible cases, the study proposes a “Teacher-led AI-Empowered Interdisciplinary Teaching Model” (TAI-ID), offering practical recommendations and future prospects for frontline educators.