Exploration of Teaching Reform for Data Structures and Algorithms Course Empowered by AI

Huanhuan Fang; Bingke Wei; Bingjie Wei

doi:10.70088/w8rtnd98

Authors

Huanhuan Fang School of Computer Science and Artificial Intelligence (Industrial Software), Guangdong University of Science and Technology, Dongguan, China Author
Bingke Wei School of Computer Science and Artificial Intelligence (Industrial Software), Guangdong University of Science and Technology, Dongguan, China Author
Bingjie Wei School of Computer Science and Artificial Intelligence (Industrial Software), Guangdong University of Science and Technology, Dongguan, China Author

DOI:

https://doi.org/10.70088/w8rtnd98

Keywords:

artificial intelligence, data structures, algorithms, teaching innovation, personalized learning, intelligent tutoring

Abstract

With the rapid development of artificial intelligence technologies, AI-empowered education has become an important direction for teaching reform in higher education institutions. Based on an analysis of the current teaching situation and key challenges of the Data Structures and Algorithms course, this paper proposes an AI-enabled teaching reform model for the course. The proposed model establishes a four-in-one AI-enabled teaching reform framework consisting of "Intelligent Diagnosis–Personalized Learning–Intelligent Learning Assistance–Multi-dimensional Evaluation." It systematically investigates intelligent instructional content development, AI teaching assistant system construction, interactive algorithm visualization teaching, and the design of a multi-dimensional evaluation system. Specific reform measures and implementation pathways are also presented. The findings of this study provide important references for promoting teaching reform in computer-related courses and constructing intelligent curriculum systems.

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