How does Generative AI Empower Learning? A Study on Teaching Reconstruction and Capacity Building in Colleges and Universities

Article ID: 5654

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Keywords: Generative AI; Teaching Reconstruction; Ability Cultivation; Critical Thinking; Personalized Learning

Abstract

Generative AI, with its powerful capabilities for content generation and interaction, is profoundly reshaping the higher education ecosystem. This article aims to systematically explore the core mechanism of generative AI empowering learning, analyse its reconstruction path for the teaching system in colleges and universities, and study its promoting effect on the cultivation of students’ key abilities. The article first analyses the technical principles of generative AI and its unique advantages in education, pointing out that it has transformed the traditional learning model by achieving a highly personalised “knowledge dialogue”. Furthermore, the transformation directions of teaching practice in colleges and universities are expounded from three aspects: the generation of dynamic course resources, the innovation of human-computer collaborative teaching methods, and the reconstruction of the evaluation system. Finally, this paper proposes that generative AI is a key lever for cultivating students’ critical thinking, intelligent literacy, and lifelong learning abilities, and emphasises that universities need to proactively carry out teaching paradigm changes to harness technological potential and cultivate the high-quality talent required for the future.