摘要
大数据能够为教育决策提供支持和服务,基于大数据分析的在线学习过程性评价是发挥大数据优势、提高在线学习质量的有效途径。文章从大数据的视角探讨了在线学习评价的变革,对过程性评价的特征进行了分析,设计了基于大数据的在线学习过程性评价框架,包括评价内容设计、评价环境设计、评价流程设计三个方面。基于大数据的在线学习过程性评价设计为分析和优化在线学习提供了更全面客观的依据,也为在线学习的评价提供了新的视角和参考。
Big data could provide support and service for educational decision making,and the online learning process evaluation based on big data is an effective way to maximize the advantages of big data and improve the quality of online learning.The article discussed the changes of online learning evaluation from the perspective of big data,and analyzed the characteristics of process evaluation.Meanwhile,the framework of online learning process evaluation was constructed,which included three dimensions of evaluation content design,evaluation environment design and evaluation process design.The design of the process evaluation of online learning based on big data could provide more comprehensive and objective basis for analyzing and optimizing online learning,as well as new perspective and reference for online learning evaluation.
作者
上超望
韩梦
杨梅
SHANG Chao-wang;HAN Meng;YANG Mei(School of Educational Information Technology,Central China Normal University,Wuhan,Hubei,China 430079)
出处
《现代教育技术》
CSSCI
北大核心
2018年第10期94-99,共6页
Modern Educational Technology
基金
华中师范大学中央高校基本科研基金"大数据环境下教育信息的隐私保护与安全评估机制研究"(项目编号:CCNU16GD025)
"‘Web程序设计与应用实验’中访问控制技术的成果转化实验教学内容研究"(项目编号:CCNU18KYZHSY21)
湖北省技术创新重大专项"互联网+精准教育关键技术研究与示范"(项目编号:2017ACA105)的阶段性研究成果
关键词
大数据
在线学习
过程性评价
设计
big data
online learning
process evaluation
design
