Data ecosystems in education: opportunities and challenges

Linda Castañeda, Lesley Gourlay
{"title":"Data ecosystems in education: opportunities and challenges","authors":"Linda Castañeda, Lesley Gourlay","doi":"10.21556/edutec.2023.86.3071","DOIUrl":null,"url":null,"abstract":"The integration of ecosystems that promote the massive use of data and the large-scale processing of this data into educational processes represent an unprecedented social challenge. This change, which we could consider paradigmatic, has been promoted by various factors which mutually magnify each other's effects. \nIn recent years the massive collection and storage of data has intensified through ubiquitous technologies, which co-exist with human actors. In addition, we have witnessed an increase in the intentional processing power of this data at a speed unimaginable a few years ago (through the application of Artificial Intelligence, hereafter AI) . This has turned many aspects of our lives into data, from which value is extracted by third parties through processes of datafication. Concurrently, the public at large - including the educational sector - has been promised educational ‘personalisation’, a concept derived directly from other industrial production scenarios where AI is already in use, and every experience is datafied. In addition, a rapidly growing economic sector - the EdTech industry - has emerged with a capacity to monetise the educational sphere at a global level, extracting not only profits from its present and future actions with private or institutional clients, but also generating income based on capturing the motivation of their users and achieving significant levels of social and political influence. All of the above is magnified by the proliferation of the use of online platforms and tools in educational spaces (such as learning analytics and online exam proctoring), accelerated by the demand for online educaiton resulting from ‘lockdowns’ during the CoVid-19 pandemic. \nThis special issue aims to bring together articles that problematise the challenges and unintended effects that new mechanisms and dynamics fuelled by these data-driven technologies have introduced into education. This call aims to encourage researchers and practitioners to share studies, research, debates and academically well-founded reflections that propose critical visions. This aims to provide those who are interested in education (either as teachers, academic faculty, researchers or managers ) deeper analyses, to allow us to understand the current educational and technological landscape, and to foster a revaluation of relevant educational issues that should be part of our work in the coming years.","PeriodicalId":345019,"journal":{"name":"Edutec. Revista Electrónica de Tecnología Educativa","volume":"34 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Edutec. Revista Electrónica de Tecnología Educativa","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21556/edutec.2023.86.3071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The integration of ecosystems that promote the massive use of data and the large-scale processing of this data into educational processes represent an unprecedented social challenge. This change, which we could consider paradigmatic, has been promoted by various factors which mutually magnify each other's effects. In recent years the massive collection and storage of data has intensified through ubiquitous technologies, which co-exist with human actors. In addition, we have witnessed an increase in the intentional processing power of this data at a speed unimaginable a few years ago (through the application of Artificial Intelligence, hereafter AI) . This has turned many aspects of our lives into data, from which value is extracted by third parties through processes of datafication. Concurrently, the public at large - including the educational sector - has been promised educational ‘personalisation’, a concept derived directly from other industrial production scenarios where AI is already in use, and every experience is datafied. In addition, a rapidly growing economic sector - the EdTech industry - has emerged with a capacity to monetise the educational sphere at a global level, extracting not only profits from its present and future actions with private or institutional clients, but also generating income based on capturing the motivation of their users and achieving significant levels of social and political influence. All of the above is magnified by the proliferation of the use of online platforms and tools in educational spaces (such as learning analytics and online exam proctoring), accelerated by the demand for online educaiton resulting from ‘lockdowns’ during the CoVid-19 pandemic. This special issue aims to bring together articles that problematise the challenges and unintended effects that new mechanisms and dynamics fuelled by these data-driven technologies have introduced into education. This call aims to encourage researchers and practitioners to share studies, research, debates and academically well-founded reflections that propose critical visions. This aims to provide those who are interested in education (either as teachers, academic faculty, researchers or managers ) deeper analyses, to allow us to understand the current educational and technological landscape, and to foster a revaluation of relevant educational issues that should be part of our work in the coming years.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
教育数据生态系统:机遇与挑战
生态系统的整合促进了数据的大量使用,并将这些数据的大规模处理纳入教育过程,这是一项前所未有的社会挑战。我们可以认为,这种模式化的变革是由各种因素推动的,而这些因素又相互放大了彼此的影响。近年来,无处不在的技术加强了对数据的大规模收集和存储,这些技术与人类行为者共存。此外,我们还目睹了这些数据的有意处理能力以几年前难以想象的速度增长(通过人工智能的应用)。这使我们生活的许多方面都变成了数据,第三方通过数据化过程从中提取价值。与此同时,包括教育部门在内的广大公众也得到了教育 "个性化 "的承诺,这一概念直接源于其他工业生产场景,在这些场景中,人工智能已经得到应用,每一种体验都被数据化了。此外,一个快速发展的经济部门--教育科技行业--已经出现,它有能力在全球范围内实现教育领域的货币化,不仅能从目前和未来与私人或机构客户的合作中获取利润,还能通过捕捉用户的动机和实现重大的社会和政治影响力来创造收入。在教育领域使用在线平台和工具(如学习分析和在线考试监考)的激增,以及 CoVid-19 大流行期间 "封锁 "所导致的在线教育需求,加剧了上述所有现象。本特刊旨在汇集相关文章,探讨这些数据驱动型技术为教育带来的新机制和新动力所带来的挑战和意外影响。本次征集活动旨在鼓励研究人员和从业人员分享学习、研究、辩论和有学术依据的思考,提出批判性的愿景。这样做的目的是为那些对教育感兴趣的人(无论是教师、学术人员、研究人员还是管理人员)提供更深入的分析,让我们了解当前的教育和技术状况,并促进对相关教育问题的重新评估,这些问题应成为我们未来几年工作的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Educación STEAM como estrategia pedagógica en la formación docente de ciencias naturales: Una revisión sistemática Entre la adopción pedagógica y el uso de los datos: Las familias ante las plataformas digitales Factores asociados al nivel de ciudadanía digital de estudiantes de escuelas primarias en la ciudad de Mérida Las TIC en la educación social: trabajando bajo presión. Presentación sección especial: Plataformas digitales y datificación en el sistema educativo. Posibilidades y desafíos
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1