摘要
数据是生成课堂智慧的基础,掌握智慧课堂的数据流动是充分发挥数据教学价值的重要前提。文章通过对智慧课堂研究现状梳理分析总结存在的问题,并基于智慧课堂教学模式从课前、课中与课后三方面阐述了智慧课堂数据流动机制。在此基础上,以信息生态学理论为指导,构建了由教学主体、教学资源、课堂环境和教学数据等要素构成的智慧课堂生态系统,包含核心层、交互层、基础层和汇聚层,指出该系统具备的三大核心特征:数据流转,实现贯通性课堂设计;数据增值,激发师生创造活力;数据决策,追求教学效益最大化。文章最后提出四条智慧课堂生态系统的构建策略:强化课堂即时反馈,实现教学数据的闭环运行;培养师生数据素养,促进课堂数据效能的发挥;强化智能感知分析,实现教学环境的智能运行;丰富智慧环境给养,满足师生多样化教学需求,为打造高效能的智慧课堂提供新思路。
Data is the basis for generating intelligence in the classrooms. Understanding data flow in the intelligent classrooms is an important prerequisite for the instructional value of data to be fully brought into play. Through literature review of current studies about intelligent classrooms, practice and limitations, data flow mechanism in intelligent classrooms is elaborated in terms of pre-class, in-class and post-class interaction. Guided by information ecology theories, an intelligent classroom ecosystem, a four-layered model, is constructed, covering the four key factors: people involved, instructional resources, instructional environment and instructional data. The new features of the ecosystem are elaborated and a series of suggestions are provided as to how to construct an ecosystem of the intelligent classroom.
作者
晋欣泉
邢蓓蓓
杨现民
狄璇
Xinquan Jin;Beibei Xing;Xianmin Yang;Xuan Di
出处
《中国远程教育》
CSSCI
北大核心
2019年第4期74-81,91,93,共10页
Chinese Journal of Distance Education
基金
江苏省高校哲学社会科学重点研究基地重大研究项目"‘互联网+’时代高校智慧型课程建设与发展研究"(项目编号:2015JDXM021)
江苏省研究生科研与实践创新计划项目"智慧课堂数据体系构建与应用研究"(项目编号:KYCX18_2014)
教育部人文社会科学研究青年基金项目"智慧课堂数据体系构建与应用研究"(项目编号:18YTC880095)资助
关键词
教育大数据
智慧课堂
课堂数据
数据流动
课堂生态
生态系统
构成要素
模型构建
educational big data
intelligent classroom
classroom data
data flow
classroom ecology
ecosystem
constituent factor
modeling