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区域教育数据大脑:内涵、功能与实施路径 被引量:8

Regional Education Data Brain:Connotation,Functions and Implementation Path
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摘要 国家智慧教育示范区是对教育现代化区域教育发展模式的探索,教育新基建鼓励区域建设数据中心共享超算资源和人工智能算力资源来创新智慧教育生态体系,而区域教育数据中心汇聚了海量教育数据、数据模型、算力、算法,因此,如何建设教育数据中心为基础的区域教育数据大脑是当前研究和应用的重要主题。文章基于相关研究和应用发展分析了区域教育数据大脑的内涵和特征,以人类大脑基本能力结构为基础,结合通用型分析算法和教育型分析模型的基本应用发展分类,提出区域教育数据大脑的基础功能、核心功能和专项功能分类,继而分析了区域教育数据大脑的功能建设框架,确定了图谱节点N和图谱关系R联结结构并得出十二类实施路径,从而为区域教育数据大脑功能建设和实施提供参考。最后,以两个区域教育数据大脑建设为例说明具体建设和应用情况。 The National Smart Education Demonstration Zone is an exploration of a regional education development model for educational modernization.The new education infrastructure encourages regional construction of data centers to share supercomputing resources and artificial intelligence computing resources to innovate the intelligent education ecosystem.However,the regional education data center brings together huge amounts of education data,allowing data models,computing power and algorithm as one.Therefore,how to build a regional education data brain based on the education data center is a critical topic for current research and application.This study first analyzes the connotation and characteristics of the regional education data brain according to relevant research and application development.Based on the basic capacity structure of human brain,this study proposes the classification of basic functions,core functions and special functions of regional education data brain combined with the basic application development classification of general-purpose analysis algorithm and education-based analysis model.Then,the functional construction framework of the regional education data brain is analyzed,the mapping node N and the mapping relationship R linkage structure are determined,and twelve types of implementation paths are derived,which provides a reference for the construction and implementation of regional education data brain functions.Finally,two regional education data brains are used as examples to illustrate specific construction and application.
作者 方海光 孔新梅 杜斌 郑志宏 FANG Haiguang;KONG Xinmei;DU Bin;ZHENG Zhihong(College of Education,Capital Normal University,Beijing 100048;Beijing Dongcheng Intelligent Education Research Center,Beijing 100010)
出处 《电化教育研究》 CSSCI 北大核心 2022年第6期46-52,共7页 E-education Research
关键词 教育数据大脑 区域教育 内涵特征 功能结构 建设框架 Education Data Brain Regional Education Connotative Characteristics Functional Structure Construction Framework
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