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Research on Teaching Reform of Python Programming under the Computational Thinking Perspective

Author(s)

Yan Liu, Xiaoqi Jia

Affiliation(s)

Shanxi Institute of Energy, Jinzhong, Shanxi, China

Abstract

Focusing on the goals of applied talent cultivation and social demand, this research has conducted a detailed analysis of the "Python Programming" course, from theoretical and practical teaching to assessment, and has implemented comprehensive curriculum reform. The reform includes: revising the course syllabus, selecting high-quality case studies, and integrating BOPPPS and blended teaching models to stimulate students' initiative and transform their attitude from "I have to learn" to "I want to learn." Additionally, by leveraging the extensive question bank provided by the Python123 platform, teachers can freely generate and assign regular homework and final exams for diversified assessment. This approach effectively enhances students' practical innovation and Python development capabilities, facilitates their employment, and provides valuable references for the reform of Python programming courses in higher education institutions.

Keywords

Computational Thinking; Python Programming; BOPPPS Teaching Model; Blended Teaching Model; Diversified Assessment

References

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