国际学习分析技术研究进展与趋势分析——基于2014年至2016年Journal of Learning Analytics论文分析

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英文篇名：International research in Learning Analytics: A review of publications from Journal of Learning Analytics(2014-2016) 作者：潘青青 ; 杨现民 ; 陈世超 英文作者：Qingqing Pan;Xianmin Yang;Shiqiang Chen; 关键词：文献综述 ; 话语分析 ; 学习预警 ; 多模态数据分析 ; 数据挖掘 ; 大数据 ; 学术期刊 ; 开放获取 英文关键词：literature review;;discourse analysis;;early warning;;multimodal data analysis;;data mining;;big data;;academic journal;;open access 中文刊名：DDJY 英文刊名：Distance Education in China 机构：江苏师范大学智慧教育研究中心; 出版日期：2018-12-17 10:59 出版单位：中国远程教育 年：2019 期：No.530 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“信息时代智慧教育理论体系建构研究”(项目号:2015JDXM020);; 江苏省333工程科研基金资助项目“网络环境下深度学习行为分析及其促进策略研究”(项目号:333GC201702)的研究成果 语种：中文; 页：DDJY201903003 页数：10 CN：03 ISSN：11-4089/G4 分类号：18-26+96

摘要

学习分析技术是采集与学习活动相关的学习者数据,并运用多种方法和工具全方面解读数据的技术,它能够记录分析学习环境和学习轨迹,进而发现学习规律,预测学习结果,为学习者提供相应的学习策略,促进有效学习。本研究选取Journal of Learning Analytics期刊2014年至2016年发表的112篇文章作为样本,梳理了学习分析技术的内涵和特点,归纳分析了六类热点研究主题,分别是学生日志数据分析、在线话语数据分析、学习评价数据分析、多模态数据分析、学习预警数据分析、伦理隐私数据分析。最后,从分析技术、跨学科研究、情感数据、多模态数据、基础教育应用五个方面,探讨了学习分析技术在教育教学应用方面的研究趋势。
        Using 112 articles published in Journal of Learning Analytics between 2014 and 2016 as sample,this literature review is intended to identify the connotation and features of Learning Analytics(LA). Six themes emerge from the sample in relation to analysis of student journal data, online discourse data,learning evaluation data, multimodal data, early warning data, and ethics and privacy data. The article also explores research trends of LA in education in terms of analytics, cross-disciplinary research, emotional data, multimodal data and K-12 education.

引文

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