高教学刊2025，Vol.11Issue(21)：1-6,6.DOI:10.19980/j.CN23-1593/G4.2025.21.001
人工智能驱动地方本科高校教学质量保障体系优化研究
摘要
Abstract
With the deepening popularization of higher education in China,local undergraduate colleges and universities,as the main force in cultivating applied talents,have seen the optimization of their teaching quality assurance systems become a significant issue in the field of higher education.The rapid development of artificial intelligence technology provides new opportunities and challenges for the innovation of teaching quality assurance systems.This study focuses on the optimization of teaching quality assurance systems in local undergraduate universities driven by artificial intelligence.Through theoretical analysis and practical exploration,it proposes optimization strategies for teaching quality assurance based on artificial intelligence from five dimensions:conceptual transformation,mechanism innovation,optimization of indicator systems,platform construction,and implementation pathways.The research shows that by constructing an intelligent,dynamic,and precise teaching quality assurance system,local undergraduate colleges and universities can transition from experience-driven to data-driven approaches,enhance teaching quality and talent cultivation levels,and better serve the needs of local economic and social development.关键词
人工智能/地方本科高校/教学质量/保障体系/智能化Key words
artificial intelligence/local undergraduate colleges and universities/teaching quality/assurance system/intelligentization分类
社会科学引用本文复制引用
莫志慧..人工智能驱动地方本科高校教学质量保障体系优化研究[J].高教学刊,2025,11(21):1-6,6.基金项目
2024年度广西高等教育本科教学改革工程项目"新质生产力诉求下应用型本科实践教学质量保障体系构建"(2024JGZ168) （2024JGZ168）
