Analysis of Deep Integration Strategies between Artificial Intelligence and Higher Education
Year: 2025
Type: article
Abstract: Artificial intelligence (AI) is evolving at a breakneck pace, and it has shown tremendous potential in many fields. Higher education is no exception. At present, traditional higher education faces obstacles in resource utilization and teaching models, which makes it difficult to meet students’ individual learning needs and the urgent expectations of society for versatile innovative talents. Educational reform is imperative. Based on the current context, this paper aims to deeply analyze the integration of AI development and higher education development to formulate relevant policies. Through multidimensional research on teaching strategies, learning strategies, teacher development strategies, and management strategies, this paper clearly proposes that higher education can leverage AI to achieve innovative teaching models, optimized learning experiences, enhanced teaching capabilities, and efficient management. These pathways and methods will drive higher education towards a more intelligent, personalized, and efficient direction.
Authors: Peizhi Yao, Wei Hu
Institution: Jiaxing University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
Funder: American Indian Graduate Center
OpenAlex ID: W4413939760