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Dingguo Zhang

Abstract

In vocational education, the comprehensive development of students' competencies is a fundamental goal in cultivating high-quality technical talents. This study, grounded in the philosophy of Five-Education Integration (moral, intellectual, physical, aesthetic, and labor education), focuses on vocational students and constructs digital profiles by integrating a weighted composite model with advanced data processing techniques. Through multi-dimensional analyses across semesters, genders, grade levels, and majors, the research intuitively captures both group-level and individual competency characteristics. The findings reveal that achieving balanced development across the five domains requires a comprehensive consideration of internal and external factors. Practical recommendations include optimizing curriculum design, expanding aesthetic education, enhancing the practical aspects of labor education, and continuously improving the profiling model through big data analytics and artificial intelligence technologies. This work offers theoretical foundations and practical strategies for advancing holistic education reform in vocational institutions.

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