Reform Practices in C++ Object-Oriented Programming Courses: Integrating Knowledge Graphs and AI Tutors

DOI: https://doi.org/10.62517/jhet.202615431

Author(s)

Yongjun Zhang1, Bingshu Wang2,*, Chunyan Ma2, Ronghao Wei3

Affiliation(s)

1College of Computer Science and Technology, Guizhou University, Guiyang, Guizhou, China 2School of Software, Northwestern Polytechnical University, Xi’an, Shaanxi, China 3College of Electrical Engineering, Guizhou University, Guiyang, Guizhou, China *Corresponding Author

Abstract

Given the challenges in traditional C++ Object-Oriented Programming (OOP) courses, including abstract concepts, insufficient practical guidance, and the difficulty of meeting personalized learning needs, this paper proposes a blended teaching reform model integrating Knowledge Graphs (KG) and AI tutors. The approach first leverages Knowledge Graph technology to structurally reorganize core concepts into a visual knowledge network, facilitating a systematic cognitive framework for students. Concurrently, AI tutors are incorporated to provide intelligent support via Natural Language Processing (NLP) and machine learning, enabling real-time Q&A, personalized learning path recommendations, and automated assessment of programming assignments. Furthermore, a blended teaching workflow comprising "online previewing, offline discussion, and online consolidation" is implemented. Empirical teaching practices demonstrate that this model significantly enhances students' academic performance and programming skills while effectively stimulating learning interest, providing valuable insights for the digital transformation of computer science education.

Keywords

C++ Object-Oriented Programming (OOP); Knowledge Graphs; AI Tutors; Blended Teaching; Teaching Reform

References

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