Generative AI Empowering Talent Cultivation in Big Data Management and Application: Research on the Construction of an Innovation-Oriented Curriculum Model

Abstract

With the in-depth advancement of China's national strategy for the development of a new generation of artificial intelligence, generative artificial intelligence, as a key technology, is profoundly reshaping the educational ecosystem. This study focuses on the emerging interdisciplinary field of Big Data Management and Application, exploring the innovative challenges faced by talent cultivation in the digital-intelligent era. The research aims to analyze the intrinsic mechanisms of generative artificial intelligence (taking "ERNIE Bot" as an example) in promoting learners' innovative thinking and innovative skills, and further construct a "generative AI-empowered, innovation-oriented project-based curriculum model". This model integrates the entire process of "pre-class preparation - teaching implementation - project conclusion", covering core links such as learner profile construction, intelligent scenario creation, personalized task distribution, dynamic feedback, and intelligent evaluation. Finally, the paper analyzes the potential challenges in implementing the model and proposes corresponding strategies centered on the "teacher-AI-student" tripartite collaboration, aiming to provide an operable and iterable digital path for cultivating innovative talents in the Big Data Management and Application major.