跨学科背景下人工智能与高校教育深度融合路径研究  

Research on the Path of Deep Integration of Artificial Intelligence and Higher Education in an Interdisciplinary Context

作　　者：周子弘 赵菊红 ZHOU Zihong;ZHAO Juhong(Geely University of China,Jianyang 641400,China)

机构地区：[1]吉利学院,简阳641400

出　　处：《高科技与产业化》2024年第10期135-136,共2页High-Technology & Commercialization

摘　　要：随着人工智能技术的迅猛发展,其在教育领域的应用日益广泛,尤其在高校教育中,人工智能正在改变传统的教学模式和学习方式。通过分析人工智能在高校教育中的应用,研究表明人工智能显著提升了教育质量和效率。跨学科背景下人工智能与高校教育深度融合路径包括跨学科融合的课程设计、科研合作、人才培养模式和创新创业教育等,为应对现代教育挑战提供了新的解决方案。With the rapid development of artificial intelligence technology,its application in the field of education is becoming increasingly widespread,particularly in higher education,where AI is transforming traditional teaching and learning methods.By analyzing the application of Al in higher education,research shows that AI significantly enhances the quality and efficiency of education.The deep integration path of AI and higher education in an interdisciplinary context includes interdisciplinary curriculum design,scientific research cooperation,talent training models,and innovation and entrepreneurship education,providing new solutions to modern educational challenges.

关 键 词：人工智能 高校教育 跨学科融合 智能教学系统 教育数据分析 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] G642[自动化与计算机技术—控制科学与工程]