Article Details

Abstract

To meet the demand for compound technical and skill-based talent in smart civil aviation development, this research adopts literature review, job-task analysis, and action research to investigate the design logic and first-round implementation of the Python for Civil Aviation Data Analysis course. Focusing on four typical scenarios—precision marketing, airport intelligent coordination, terminal passenger-flow forecasting, and end-to-end baggage tracking—the study constructs a course framework of “job-task identification–module restructuring–competition competence integration–vocational certificate mapping”, supported by project-based instruction, progressive training, and a multi-dimensional assessment mechanism. Formative data from the first-round practice indicate that this framework helps enhance students' understanding of the relationship between civil aviation business scenarios and data-processing tasks; however, quantitative evidence of learning outcomes still needs further accumulation in subsequent teaching. This course development approach provides a reference for implementing post-course-competition-certificate integration in civil aviation higher vocational courses.

Keywords

post-course-competition-certificate integration; Python; civil aviation data analysis; course development; project-based teaching

References

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Funding

Horizontal Project of Shanghai Civil Aviation Vocational and Technical College: "Research on Service Process Standards for Urban Logistics Drone Takeoff and Landing Airports" (Horizontal 20250001)

About the authors

Chen Xu (1987-), female, Han ethnicity, from Jingjiang, Jiangsu, lecturer, master's student, research direction: data analysis.