Jingmeng Song

Liaoning Petrochemical University

Abstract：

With the rise of AI technologies such as large language models and intelligent recommendation systems, traditional teaching logic in algorithm courses faces challenges. As a core course in AI and computerrelated majors, "Algorithm Design and Analysis" emphasizes logical thinking and programming skills. However, current teaching modes still rely heavily on linear instruction and manual evaluation, failing to stimulate creativity or meet diverse learning needs. This paper explores practical reforms empowered by AI, including blended teaching, personalized learning, and intelligent evaluation, aiming to enhance teaching effectiveness and cultivate innovative algorithm talent.

Key Words：

AI empowerment; "Algorithm Design and Analysis"; teaching reform; practical paths