使用文献计量分析绘制数据驱动学习的前景

IF 4.6 1区 文学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Recall Pub Date : 2022-11-22 DOI:10.1017/S0958344022000222
Jihua Dong, Yanan Zhao, L. Buckingham
{"title":"使用文献计量分析绘制数据驱动学习的前景","authors":"Jihua Dong, Yanan Zhao, L. Buckingham","doi":"10.1017/S0958344022000222","DOIUrl":null,"url":null,"abstract":"Abstract This study employs a bibliometric approach to analyse common research themes, high-impact publications and research venues, identify the most recent transformative research, and map the developmental stages of data-driven learning (DDL) since its genesis. A dataset of 126 articles and 3,297 cited references (1994–2021) retrieved from the Web of Science was analysed using CiteSpace 6.1.R2. The analysis uncovered the principal research themes and high-impact publications, and the most recent transformative research in the DDL field. The following evolutionary stages of DDL were determined based on Shneider’s (2009) scientific model and the timeline generated by CiteSpace, namely, the conceptualising stage (1980s–1998), the maturing stage (1998–2011), and the expansion stage (2011–now), with Stage 4 just emerging. Finally, the analysis discerned potential future research directions, including the implementation of DDL in larger-scale classroom practice and the role of variables in DDL.","PeriodicalId":47046,"journal":{"name":"Recall","volume":"35 1","pages":"339 - 355"},"PeriodicalIF":4.6000,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Charting the landscape of data-driven learning using a bibliometric analysis\",\"authors\":\"Jihua Dong, Yanan Zhao, L. Buckingham\",\"doi\":\"10.1017/S0958344022000222\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This study employs a bibliometric approach to analyse common research themes, high-impact publications and research venues, identify the most recent transformative research, and map the developmental stages of data-driven learning (DDL) since its genesis. A dataset of 126 articles and 3,297 cited references (1994–2021) retrieved from the Web of Science was analysed using CiteSpace 6.1.R2. The analysis uncovered the principal research themes and high-impact publications, and the most recent transformative research in the DDL field. The following evolutionary stages of DDL were determined based on Shneider’s (2009) scientific model and the timeline generated by CiteSpace, namely, the conceptualising stage (1980s–1998), the maturing stage (1998–2011), and the expansion stage (2011–now), with Stage 4 just emerging. Finally, the analysis discerned potential future research directions, including the implementation of DDL in larger-scale classroom practice and the role of variables in DDL.\",\"PeriodicalId\":47046,\"journal\":{\"name\":\"Recall\",\"volume\":\"35 1\",\"pages\":\"339 - 355\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2022-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Recall\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1017/S0958344022000222\",\"RegionNum\":1,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Recall","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1017/S0958344022000222","RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 4

摘要

摘要本研究采用文献计量方法分析常见的研究主题、高影响力的出版物和研究场所,确定最新的变革性研究,并绘制数据驱动学习(DDL)自诞生以来的发展阶段图。使用CiteSpace 6.1.R2分析了从科学网检索的126篇文章和3297篇引用文献(1994-2021)的数据集。该分析揭示了主要的研究主题和高影响力的出版物,以及DDL领域最新的变革性研究。DDL的以下进化阶段是根据Shneider(2009)的科学模型和CiteSpace生成的时间线确定的,即概念化阶段(1980年代至1998年)、成熟阶段(1998年至2011年)和扩展阶段(2011年至现在),第4阶段刚刚出现。最后,该分析确定了未来潜在的研究方向,包括DDL在大规模课堂实践中的实施以及变量在DDL中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Charting the landscape of data-driven learning using a bibliometric analysis
Abstract This study employs a bibliometric approach to analyse common research themes, high-impact publications and research venues, identify the most recent transformative research, and map the developmental stages of data-driven learning (DDL) since its genesis. A dataset of 126 articles and 3,297 cited references (1994–2021) retrieved from the Web of Science was analysed using CiteSpace 6.1.R2. The analysis uncovered the principal research themes and high-impact publications, and the most recent transformative research in the DDL field. The following evolutionary stages of DDL were determined based on Shneider’s (2009) scientific model and the timeline generated by CiteSpace, namely, the conceptualising stage (1980s–1998), the maturing stage (1998–2011), and the expansion stage (2011–now), with Stage 4 just emerging. Finally, the analysis discerned potential future research directions, including the implementation of DDL in larger-scale classroom practice and the role of variables in DDL.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Recall
Recall Multiple-
CiteScore
8.50
自引率
4.40%
发文量
17
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信