文献类型：期刊文献

中文题名：大数据环境下在线学习者画像的构建

英文题名：Construction and Empirical Study of Online Learners’ Persona in the Big Data Environment

作者：肖君[1];乔惠[2];李雪娇[3]

机构：[1]上海开放大学上海开放远程教育工程技术研究中心,上海200433;[2]东航技术应用研发中心有限公司,上海200131;[3]华东理工大学现代教育技术中心,上海200237

年份：2019

卷号：25

期号：4

起止页码：111

中文期刊名：开放教育研究

外文期刊名：Open Education Research

收录：CSTPCD;;国家哲学社会科学学术期刊数据库;北大核心:【北大核心2017】；CSSCI:【CSSCI2019_2020】；

基金：全国教育科学“十三五”规划2016年度国家一般课题“大数据下在线学习用户画像的构建及其应用研究”(BCA160053)

语种：中文

中文关键词：教育大数据;开放学习分析;在线学习者画像;精准支持服务

外文关键词：big education data;open learning analysis;online learner persona;precise support service

摘要：在线学习中,学习者特征不明、学习支持服务针对性不足、学生流失率高等问题是教学利益相关者关注的重点。大数据环境下在线学习者画像的构建对识别、分析学习者特征并据此提供针对性学习支持服务具有重要意义。本研究以开放学习分析架构为基础,从目标(Object)、数据(Data)、分析(Analysis)、服务(Service)四个角度提出“ODAS”开放学习分析概念模型,并设计了一套具体可行的、可操作的基于ODAS的在线学习者画像构建流程,包括画像构建目标、数据收集、标签分析、画像服务输出四个阶段,从而为学习者画像教学应用与评估提供方法。本研究进而以上海开放大学的在线学习者为对象,从学习者基本特征、在线学习行为和学习路径三个维度构建高风险学习者画像,开展画像标签分析。研究表明,学习者画像能反映高风险学习者的学习能力、行为表现、学习路径等特征,并具有教学情境性,能为针对性教学设计及在线学习支持服务设计提供数据支撑。
In the online learning environment, there are many challenges such as unclear characteristics of learners, inadequate learning support services, and high student attrition rate. Online learner persona in the context of big data is of great significance in identifying and analyzing the characteristics of learners and providing targeted learning support services. Based on open learning analytics framework, this study proposed the “ODAS” open learning analysis conceptual model from the four perspectives of Object, Data, Analysis and Service, and designed concrete and workable online learner persona construction process based on ODAS conceptual model. The process includes four stages: persona goal, data collection, label analysis, and persona service output. It provides a method for learning application and evaluation of learner persona. This study took the online learners of Shanghai Open University as research participants, and constructed high-risk learner persona from the three dimensions of learners' basic characteristics, online learning behavior, and learning path environment. The study showed that learner persona could reflect the learning ability, behavioral performance, learning path characteristics of high-risk learners, which is contextual and provide data support for targeted learning design and online learning support service design, thus improving learners' participation and learning effect.