高科技与产业化2024,Vol.30Issue(10) :135-136.

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

周子弘 赵菊红
高科技与产业化2024,Vol.30Issue(10) :135-136.

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

周子弘 1赵菊红1
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作者信息

  • 1. 吉利学院 简阳 641400
  • 折叠

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.

Abstract

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 AI 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

Key words

Artificial Intelligence/Higher Education/Interdisciplinary Integration/Intelligent Teaching System/Educational Data Analysis

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出版年

2024
高科技与产业化
中国科学院文献情报中心 中国高科技与产业化研究会

高科技与产业化

影响因子:0.265
ISSN:1006-222X
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