{"title":"Re-imagining ‘Learning Analytics’ … a case for starting again?","authors":"Neil Selwyn","doi":"10.1016/j.iheduc.2020.100745","DOIUrl":null,"url":null,"abstract":"<div><p><span>This brief paper develops a series of provocations against the current forms of Learning Analytics that are beginning to be implemented in higher education contexts. The paper highlights a number of ways in which Learning Analytics can be experienced as discriminatory, oppressive and ultimately disadvantaging across whole student populations, and considers the limitations of current efforts within educational </span>data science to increase awareness of ‘ethics’ and ‘social good’. This culminates in a stark choice: is it possible to substantially improve the field of Learning Analytics as it currently stands, or should we abandon it in favour of new forms of applying data science that are aligned with the experiences of non-conforming ‘learners’ and un-categorizable forms of ‘learning’?</p></div>","PeriodicalId":48186,"journal":{"name":"Internet and Higher Education","volume":"46 ","pages":"Article 100745"},"PeriodicalIF":6.4000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.iheduc.2020.100745","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internet and Higher Education","FirstCategoryId":"95","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S109675162030021X","RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 31
Abstract
This brief paper develops a series of provocations against the current forms of Learning Analytics that are beginning to be implemented in higher education contexts. The paper highlights a number of ways in which Learning Analytics can be experienced as discriminatory, oppressive and ultimately disadvantaging across whole student populations, and considers the limitations of current efforts within educational data science to increase awareness of ‘ethics’ and ‘social good’. This culminates in a stark choice: is it possible to substantially improve the field of Learning Analytics as it currently stands, or should we abandon it in favour of new forms of applying data science that are aligned with the experiences of non-conforming ‘learners’ and un-categorizable forms of ‘learning’?
期刊介绍：
The Internet and Higher Education is a quarterly peer-reviewed journal focused on contemporary issues and future trends in online learning, teaching, and administration within post-secondary education. It welcomes contributions from diverse academic disciplines worldwide and provides a platform for theory papers, research studies, critical essays, editorials, reviews, case studies, and social commentary.
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