AI驱动下的普通化学课程智能教学体系的设计与开发

Design and Development of AI-Driven Intelligent Teaching System for General Chemistry Course

摘要: 随着人工智能技术的快速发展，教育数字化已成为高等教育改革的重要方向。普通化学作为高校工科专业重要的公共基础课，传统教学模式面临学生基础差异大、个性化指导不足、过程性评价实施难等现实困境。本文以沈阳航空航天大学普通化学课程为研究对象，针对大班教学中的“知识碎片化”、“规模化教学与个性化需求矛盾”及“评价体系滞后”三大核心问题，提出并构建了AI驱动下的普通化学智能教学体系。该体系以知识图谱为中枢，通过“教–学–评”全流程重构，展现了知识体系的智能化重组、教学资源的自适应供给以及学习评价的数据化驱动的可能性，为今后相关的教学改革提供了宝贵的经验。

Abstract: With the rapid development of artificial intelligence technology, the digitization of education has become a key direction for higher education reform. As an important general education course for engineering majors in universities, General Chemistry faces practical challenges in traditional teaching models, including significant variations in students’ foundational knowledge, insufficient personalized guidance, and difficulties in implementing formative assessment. This paper takes the General Chemistry course at Shenyang Aerospace University as its research subject. Addressing three core issues in large-class teaching—namely, fragmented knowledge, the conflict between large-scale instruction and personalized needs, and an outdated evaluation system, it proposes and constructs an AI-driven intelligent teaching system for General Chemistry. With a knowledge graph at its core, this system demonstrates the potential for the intelligent restructuring of the knowledge framework, the adaptive provision of teaching resources and data-driven learning assessment through a comprehensive overhaul of the “teaching-learning-assessment” process, thereby providing valuable insights for future educational reforms.