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Big Data and AI Enabled: New Strategies for Industry-Education Integration and Talent Cultivation in Universities

EasyChair Preprint 15363

9 pagesDate: November 4, 2024

Abstract

This paper explores the applications of big data and AI in education, emphasizing their roles in industry-education integration and talent cultivation in Chinese universities. A product centered on "one platform, two systems, and three client ends" is proposed, integrating a comprehensive employment and entrepreneurship platform for students with an industry-education big data analytics system and a talent profiling system. This multi-layered solution spans student, teacher, and administrative ends, offering services like industrial big data analysis, talent profiling, precise person-position matching, competency profiling, real-time job subscriptions, and system management.Through literature review, case analysis, system analysis, and empirical research, the paper examines how this product utilizes big data and AI for dynamic student evaluation. It provides universities with industry insights to align talent cultivation with market demands. Results indicate that this strategy enhances talent quality and social adaptability, promoting industry-education integration.The study's significance lies in its theoretical contributions and practical implications. It offers new perspectives for educational research and valuable references for improving educational practices. Long-term, the big data and AI-empowered product definitions and services guide university entrepreneurial management, fostering an entrepreneurial spirit to optimize higher education management. This is expected to contribute high-quality talents to economic and social development, driving progress.

Keyphrases: Big Data and AI Technologies, Big data analysis system, Chinese universities, College Students' Employment and Entrepreneurship, Precise Job Matching, Talent Portrait System, industry-education integration, talent cultivation

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:15363,
  author    = {Yong Liu and Xiaohui Zou},
  title     = {Big Data and AI Enabled: New Strategies for Industry-Education Integration and Talent Cultivation in Universities},
  howpublished = {EasyChair Preprint 15363},
  year      = {EasyChair, 2024}}
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