Research on Teaching Reform for Cultivating Innovative Artistic Talent in Higher Education Institutions: A Dual-Drive Approach Integrating Human-Machine Collaboration Capabilities and Artistic Critical Thinking

Abstract

As artificial intelligence profoundly reshapes artistic creation and dissemination paradigms, higher education in the arts faces unprecedented challenges and opportunities. This paper analyzes AI’s impact on art education, proposing a dual-drive talent cultivation model centered on human-machine collaboration skills and critical artistic thinking’. It constructs a theoretical framework and practical pathways for higher art education, exploring how to balance technological empowerment with humanistic values to nurture innovative artistic talents equipped with both technological adaptability and cultural criticality. The research concludes that this dual-drive model is not only an inevitable response to technological transformation but also a core strategy for reconstructing the essence of art education and safeguarding human creativity.