摘要
当前,开展教育与技术两种不同话语体系的深层次对话,用教育的语言解读人工智能技术发展的历史与现状,并在教育信息化向智能化攀升的历史大背景中,展望人机协同创新的智能化教育变革发展的未来走向,是一项十分必要的工作。在工业文明向信息时代生态文明变革的战略视野中,对人工智能教育系统工程的设计,必须用互联网思维、智能化思维超越原有工业化的思维框架,才有可能突破目前发展中的各种阻力、惯性、瓶颈,求真务实地创新发展。要倡导培养“智能素养”、防范“智能风险”,创建“团队化人机共生学习模式细胞结构”,以此作为信息化学习空间的“生成元”。人工智能的本质是在对人类智力深刻反思基础上的科技创新、文化创新、文明觉醒。当代人工智能的迅速发展和在各个领域的广泛应用,必将激发、凝聚全社会的学习智慧、教育资源,创生出各种改善社会异化、教育异化的有效行为和变革教育的强大力量。
Nowadays,it is necessary to carry out a deep dialogue between two different discourse systems of education and technology,to interpret the history and current situation of the development of artificial intelligence technology in the language of education,and to look into the future direction of intelligent education transformation with human-machine collaborative innovation in the historical context of the intelligentize development of educational informatization.n the strategic vision of the change of industrial civilization to the ecological civilization of the information age,the design of the system engineering of artificial intelligence education should apply Internet thinking and intelligent thinking to transcend the original thinking framework of industrialization in order to break through the various resistance,inertia and bottlenecks in the current development and to innovate and develop in a realistic and pragmatic way.We should advocate the cultivation of“intelligent literacy”,prevent“intelligent risk”,and create a“team-based human-computer symbiotic learning model cell structure”as the information learning space of“generative elements”.The essence of artificial intelligence is technological innovation,cultural innovation,and civilizational awakening based on profound reflection on human intelligence.The rapid development of contemporary artificial intelligence and its wide application in various fields will certainly stimulate and unite the learning intelligence and educational resources of the whole society,creating various effective behaviors to reduce social alienation and educational alienation and a powerful force to transform education.
作者
桑新民
Sang Xinmin(Institute of Education,Nanjing University,Nanjing Jiangsu 210023,China)
出处
《中国教育科学（中英文）》
CSSCI
2022年第3期3-21,共19页
Education Sciences in China
关键词
人工智能
智力
深度学习
智能素养
未来教育
artificial intelligence
intelligence
deep learning
intelligent literacy
future education
