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人工智能教育应用的现状分析、典型特征与发展趋势 被引量:298

The Application Status, Typical Characteristics and Development Trends of Artificial Intelligence in Education
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摘要 新技术浪潮汹涌而至。大数据、并行计算和深度学习驱动人工智能技术飞速发展,并重塑教育新形态。人工智能教育应用现状与发展趋势研究有助于推动技术与教育的深度融合发展。该文从技术发展的角度回顾了人工智能的发展历程,概述了人工智能发展史上的三次浪潮,揭示了人工智能的三大要素与驱动力,阐述了人工智能在教育领域中的四大具体应用形态,分析了人工智能教育应用的五大典型特征,并指出其未来的发展趋势,最后归纳并构建了人工智能与教育的融合创新发展体系,旨在为我国人工智能与教育的融合发展提供理论指导。 The new wave of technology is surging. Big data, parallel computing and deep learning drive the rapid development of artificial intelligence, and reshape the new paradigm of education. Research on the application status and development trends of artificial intelligence in education helps to promote the deep integration of technology and education. This paper reviews the development of artificial intelligence from the perspective of technology, outlines the iconic development of the research methods in the three waves of artificial intelligence, and reveals the three internal factors and external driving force of artificial intelligence. Then it elaborates the four specific application forms of artificial intelligence technology in education, analyzes the five typical characteristics of the application of artificial intelligence in education, and points out its future development trends. Finally, it constructs the architecture of integrational and innovational system of artificial intelligence and education based on above research, which aims at providing theoretical guidance for the development of artificial intelligence and education in China.
作者 梁迎丽 刘陈
出处 《中国电化教育》 CSSCI 北大核心 2018年第3期24-30,共7页 China Educational Technology
基金 江苏省教育科学"十三五"规划重大课题"教育信息化与教育教学改革研究"(项目编号:A/2016/06) 江苏高校哲学社会科学研究基金项目"基于大数据的高校智慧学习模型构建与应用研究"(项目编号:2017SJB0088) 南京邮电大学教育科学"十三五"规划2017年度课题"基于大数据的智慧学习模式研究"(项目编号:GJS-XKT1717)阶段性成果
关键词 人工智能 深度学习 ITS 自动化测评 教育应用 Artificial Intelligence Deep Learning ITS Automated Assessment Application in Education
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