教育中的算法驱动决策系统:从社会文化角度分析偏见

Federico Ferrero, Adriana Gewerc Barujel
{"title":"教育中的算法驱动决策系统:从社会文化角度分析偏见","authors":"Federico Ferrero, Adriana Gewerc Barujel","doi":"10.1109/LACLO49268.2019.00038","DOIUrl":null,"url":null,"abstract":"This article analyzes biases in algorithmic driven decision-making systems in education considering some contributions from the Activity Theory of sociocultural tradition. First, it is identified how the sources of biases (theoretical, methodological, by interpretation, by decontextualization and by data training) are distributed in the elements of the analytical unit as well as in the systemic time. Consequently, the algorithm is not treated as a mediating artifact biased in itself, but biases are reflected in it and are linked to the practices carried out by the subjects involved in the systemic reality studied. Second, it is presented the results of a Systematic Literature Review that allows us to explore the ways in which the Journal of Learning Analytics community approaches the subject of biases according to the bias-sources classification previously constructed.","PeriodicalId":229069,"journal":{"name":"2019 XIV Latin American Conference on Learning Technologies (LACLO)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Algorithmic Driven Decision-Making Systems in Education: Analyzing Bias from the Sociocultural Perspective\",\"authors\":\"Federico Ferrero, Adriana Gewerc Barujel\",\"doi\":\"10.1109/LACLO49268.2019.00038\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article analyzes biases in algorithmic driven decision-making systems in education considering some contributions from the Activity Theory of sociocultural tradition. First, it is identified how the sources of biases (theoretical, methodological, by interpretation, by decontextualization and by data training) are distributed in the elements of the analytical unit as well as in the systemic time. Consequently, the algorithm is not treated as a mediating artifact biased in itself, but biases are reflected in it and are linked to the practices carried out by the subjects involved in the systemic reality studied. Second, it is presented the results of a Systematic Literature Review that allows us to explore the ways in which the Journal of Learning Analytics community approaches the subject of biases according to the bias-sources classification previously constructed.\",\"PeriodicalId\":229069,\"journal\":{\"name\":\"2019 XIV Latin American Conference on Learning Technologies (LACLO)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 XIV Latin American Conference on Learning Technologies (LACLO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LACLO49268.2019.00038\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 XIV Latin American Conference on Learning Technologies (LACLO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LACLO49268.2019.00038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

本文从社会文化传统的活动理论出发,分析了算法驱动的教育决策系统中的偏见。首先,确定偏差的来源(理论的、方法的、通过解释的、通过去语境化的和通过数据训练的)如何分布在分析单元的元素中以及在系统时间内。因此,该算法本身不被视为有偏见的中介工件,但偏见反映在其中,并与所研究的系统现实中涉及的受试者所进行的实践相关联。其次,它提出了一项系统文献综述的结果,该结果使我们能够探索《学习分析杂志》社区根据先前构建的偏见来源分类处理偏见主题的方式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithmic Driven Decision-Making Systems in Education: Analyzing Bias from the Sociocultural Perspective
This article analyzes biases in algorithmic driven decision-making systems in education considering some contributions from the Activity Theory of sociocultural tradition. First, it is identified how the sources of biases (theoretical, methodological, by interpretation, by decontextualization and by data training) are distributed in the elements of the analytical unit as well as in the systemic time. Consequently, the algorithm is not treated as a mediating artifact biased in itself, but biases are reflected in it and are linked to the practices carried out by the subjects involved in the systemic reality studied. Second, it is presented the results of a Systematic Literature Review that allows us to explore the ways in which the Journal of Learning Analytics community approaches the subject of biases according to the bias-sources classification previously constructed.
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
自引率
0.00%
发文量
0
×
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