摘要
疫情下,人工智能与大数据技术将传统教育模式转变成新的模式,引发了教育领域的新变革。文章分析了疫情下人工智能与大数据对教育行业产生的影响,梳理了教学管理、课堂教学、课外辅导、考试管理等人工智能教育的四种应用场景,分析人工智能应用存在的障碍并提出加强人工智能基础设施建设、推进人工智能教育的产学研合作等建议。
Under the epidemic situation,artificial intelligence and big data technologies have transformed the traditional education mode into a new one,which has triggered new changes in the field of education.This paper analyzes the impact of artificial intelligence and big data on the education industry under the epidemic situation,combs four application scenarios of artificial intelligence education,such as teaching management,classroom teaching,after-class tutoring and examination management,analyzes the obstacles existing in the application of artificial intelligence,and puts forward some suggestions,such as strengthening the construction of artificial intelligence infrastructure and promoting the industry-university-institute cooperation in artificial intelligence education.
作者
王桂平
张涵
Wang Guiping;Zhang Han(Management Department,Tianjin University Ren'ai College,Tianjin 301636,China;Research Institute of Science and Technology Strategy,Chinese Academy of Sciences)
出处
《计算机时代》
2021年第4期32-34,共3页
Computer Era
基金
国家社会科学基金一般项目“平台企业数据垄断对中小企业创新的影响及治理机制研究”(20BGL050)。
关键词
大数据
人工智能
教育
建议
big data
artificial intelligence
education
suggestion