摘要
生成式人工智能与教育教学的深度融合,正在重新定义知识获取、学习过程、人机协作教学的内涵,并预示着教育将迈入一个“师-生-机”教育命运共同体的新时代。在此背景下,文章深入探讨了生成式人工智能的本质与教育角色定位,从短期效应和长期发展两个角度阐释了生成式人工智能在基础教育领域应用的机遇,同时剖析了生成式人工智能在基础教育领域应用过程中面临的智能技术成熟度风险、教育教学异化风险和师生主体适应性风险。结合这些机遇与风险,借鉴国际先进经验,文章有针对性地提出了适合我国基础教育实际情况的生成式人工智能应用对策,以促进人工智能与教育的深度融合,为相关领域的研究和政策研制提供参考。
The deep integration of generative artificial intelligence(AI)with education and teaching is redefining the connotation of knowledge acquisition,learning processes,and human-machine collaborative teaching,and indicates that education will enter a new era of“teacher-student-machine”educational destiny community.Under this context,the paper discussed the nature and educational role positioning of generative AI,and explained the application opportunities of generative AI in the field of basic education from the perspectives of short-term effects and long-term development.At the same time,the risks associated with the maturity of AI technology,the education and teaching alienation,and the adaptability of teachers and students encountered in the application process of generative AI in the field of basic education were analyzed.Combining these opportunities and risks and drawing on international advanced experience,this paper put forward targeted application countermeasures of generative AI for the actual situation of basic education in China,in order to promote the deep integration of AI with education,and provide reference for research and policy development in related fields.
作者
柯清超
米桥伟
鲍婷婷
KE Qing-Chao;MI Qiao-Wei;BAO Ting-Ting(School of Educational Information Technology,South China Normal University,Guangzhou,Guangdong,China 510632)
出处
《现代教育技术》
CSSCI
2024年第9期5-13,共9页
Modern Educational Technology
基金
国家社会科学基金2023年度教育学重点项目“国家智慧教育平台生态建设和运行运维机制研究”(项目编号:ACA230014)
广东省哲学社会科学创新工程2022年度特别委托项目“面向智能社会治理的社会实验:教育变革与风险防控”(项目编号:GD22TWCXGC10)的阶段性研究成果。
关键词
生成式人工智能
基础教育
人工智能技术
“师-生-机”
generative AI
basic education
artificial intelligence technology
“teacher-student-machine”
作者简介
柯清超,院长,教授,博士,研究方向为教育数字化、人工智能教育等,邮箱为keqingchao@m.scnu.edu.cn。
