大数据时代在线同伴互评提升策略的审视与展望
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  • 英文篇名:Review and Prospect of Online Peer Assessment Strategy in Big Data Era
  • 作者:赵呈领 ; 李红霞 ; 蒋志辉
  • 英文作者:ZHAO Cheng-ling;LI Hong-xia;JIANG Zhi-hui;School of Educational Information Technology,Central China Normal University;Department of Electronic and Information Engineering,Changsha Normal University;
  • 关键词:大数据 ; 在线学习 ; 同伴互评 ; 匹配
  • 英文关键词:big data;;online learning;;peer assessment;;adaptation
  • 中文刊名:XTGS
  • 英文刊名:Journal of Hunan University of Science & Technology(Social Science Edition)
  • 机构:华中师范大学教育信息技术学院;长沙师范学院电子与信息工程系;
  • 出版日期:2019-07-31 17:20
  • 出版单位:湖南科技大学学报(社会科学版)
  • 年:2019
  • 期:v.22;No.116
  • 基金:教育部-中国移动科研基金项目(MCM20170520);; 湖南省教育教学改革项目(湘教通[2018]436号925);; 普通高校教学改革研究项目(湘教通[2016]400号413)
  • 语种:中文;
  • 页:XTGS201904024
  • 页数:8
  • CN:04
  • ISSN:43-1436/C
  • 分类号:176-183
摘要
大数据时代在线同伴互评既能增强学习体验,提升在线学习效果,又能创新评价方式,保证在线教育的质量。现有提高同伴互评信效度的策略主要有评阅人的匹配及推荐、提升评阅人的能力和评价分数的校准三种。大数据时代同伴互评有效性的提升应重点探寻如何提高学习者的评价素养、透视同伴互评设计的基本原理及科学利用过程性数据来提高同伴互评的信效度。
        Online peer assessment enhances the learning experience and the effectiveness of online learning. Innovative evaluation methods can ensure the quality of online education. The existing strategies for improving the reliability and validity of peer assessment mainly include the matching and recommendation of reviewers,the improvement of reviewers' ability,and the calibration of evaluation scores. Based on the above,in order to further enrich and enhance the effectiveness of peer assessment in the era of big data,follow-up researches will focus on how to improve the evaluation literacy of learners,the basic principles of peer assessment design,and the scientific use of procedural data to improve the reliability and validity of peer assessment.
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