Application Research of Artificial Intelligence Generated Content in Programming Courses

DOI: https://doi.org/10.62517/jbdc.202401311

Author(s)

Binglin Lu*

Affiliation(s)

School of Information Management and Engineering, Neusoft Institute Guangdong, Foshan, Guangdong, China *Corresponding Author.

Abstract

Against the background of digital transformation of education and the demand for teaching innovation in programming courses, this paper analyzes the state of Artificial Intelligence Generated Content (AIGC) technology application, and elaborates in-depth on how AIGC empowers the teaching of programming courses. By introducing the new technologies, methods, and programs brought by AIGC, such as intelligent instructional design assistance, course learning assistant applications, and the outlook of new digital teaching materials, this paper demonstrates the great potential of AIGC in teaching. These innovations are expected to promote personalization and differentiation of teaching and learning, enhance the quality and effectiveness of teaching and learning, and provide forward-looking insights and directions for further deepening education reform. In addition, this paper explores the challenges of implementing these AIGC-enabling strategies, which provide useful references for practitioners and are valuable for promoting the development of programming education.

Keywords

AIGC; Teaching Programming Courses; Intelligent Instructional Design; Personalized Learning

References

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