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Research on Diagnosis and Enhancement Pathways of University Students' Innovation and Entrepreneurship Ability Driven by Big Data

Author(s)

Yuwan He, Yueqiao Shang, Shanshan Hu*

Affiliation(s)

Business School, Lingnan Normal University, Zhanjiang, Guangdong, China *Corresponding Author

Abstract

Against the backdrop of the country's vigorous promotion of "double innovation" education, this study explores a precise solution driven by big data to address the problems of static, homogeneous, and disconnected from the promotion process in the current evaluation of college students' innovation and entrepreneurship abilities. By constructing an evaluation index system that includes six dimensions: innovative thinking, opportunity identification, resource integration, risk-taking, educational innovation, and practical execution, and relying on the independently developed "Lingnan Maker Pass" system, this study has achieved multidimensional diagnosis and dynamic profiling of college students' innovation and entrepreneurship abilities. Based on the diagnostic results, the study proposed the design principle of "concentrated supplementation of common shortcomings and precise assistance for individual differences", and constructed differentiated improvement strategies and intelligent intervention mechanisms for different ability groups. The pilot application shows that this path can effectively enhance students' comprehensive abilities and project practice results, providing a feasible theoretical and practical paradigm for the transformation of university entrepreneurship education from "extensive supply" to "precise empowerment".

Keywords

Innovation and Entrepreneurship Ability; Big Data Driven; Diagnostic Model; Upgrade Path

References

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