AIGC赋能算法设计与分析课程教学的探索

Exploration of AIGC Empowering the Teaching of Algorithm Design and Analysis Courses

摘要: 针对算法设计与分析课程存在教学内容抽象且繁多、学生基础差异化大、实践训练薄弱、互动匮乏及教学资源单一化等问题，本文通过分析AIGC在教育领域中的应用现状以及算法设计与分析课程的教学状况，探讨了将AIGC融入到算法设计与分析教学中的优势，通过具体案例分析探究了AIGC如何在教学中进行应用，也探究将AIGC与算法设计与分析教学结合所面临的问题以及应对措施，为算法设计与分析课程的智能化教学改革提供参考。

Abstract: Addressing challenges in algorithm design and analysis courses—such as abstract and extensive teaching content, significant variations in student foundations, weak practical training, limited interaction, and monotonous teaching resources. This paper examines the current application of AIGC in education and analyzes the teaching status of algorithm design and analysis courses. It explores the advantages of integrating AIGC into algorithm design and analysis instruction, investigates how AIGC can be applied through specific case studies, and addresses challenges and countermeasures in combining AIGC with algorithm design and analysis teaching. This research provides insights for intelligent teaching reform in algorithm design and analysis courses.