Research and Practice on the Teaching Reform of Programming Courses Enabled by AI: --A Case Study of “Python Fundamentals and Applications”

Yuxiang Li

doi:10.6918/IJOSSER.202607_9(7).0013

Authors

Yuxiang Li School of Computer Science and Artificial Intelligence, Guangdong University of Science and Technology, Dongguan 523000, China

DOI:

https://doi.org/10.6918/IJOSSER.202607_9(7).0013

Keywords:

Artificial Intelligence; Python; Blended Learning; Curriculum Reform.

Abstract

This paper analyzes current issues in programming courses at applied undergraduate institutions. The issues mainly includes the outdated teaching content and lacking practical abilities, outdated teaching methods, over-reliance on artificial intelligence (AI) tools, lack of computational thinking and innovation ability, the assessment method is simplistic, etc. This article explores and proposes a set of innovative teaching reform plans in four aspects: the reconstruction of the teaching knowledge system, the teaching model, the teaching resources and tools, and the assessment and evaluation. All these are carried out under the empowerment of AI. Based on the AI assistant provided by the FanYa platform, a "comprehensive integration of classroom and extracurricular activities, combined with online and offline elements" interactive and exploratory blended teaching model is constructed. Through specific implementation methods such as project case-based teaching, hierarchical task design, and human-computer collaborative programming, and by adopting a multi-dimensional and full-process goal achievement assessment and evaluation system, the aim is to systematically enhance students' engineering practice and innovative collaboration abilities. This research provides a theoretical-depth and practically feasible reference model for the reform of programming courses in computer-related majors of applied-type universities.

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References

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