Application of Generative Artificial Intelligence in Higher Education Teaching under the Background of Building a Leading Country in Education

Abstract

Abstract: In response to the strategic goal of building a leading country in education, based on an analysis of the technological characteristics of GAI and the key factors affecting teaching quality in higher education, this study focuses on exploring the application of generative artificial intelligence (GAI) in higher education teaching: constructing interactive classrooms, enabling personalized learning, fostering higher-order thinking development, facilitating dynamic feedback on teaching quality, and building a co- constructive teaching ecosystem. Accordingly, efforts should be made to further strengthen digital infrastructure for education, improve teacher training systems in AI literacy, and build an open, collaborative, and intelligently empowered educational ecosystem.

Key words: Generative artificial intelligence, Higher education, Teaching quality, Building a leading country in education, Specific paths, Educational ecosystem

CLC Number:

G649.2
G434

ZHOU Yuanren, WANG Moran. Application of Generative Artificial Intelligence in Higher Education Teaching under the Background of Building a Leading Country in Education[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(8): 170-172.

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