The Left Hand of Data
A speculative framework that imagines how we can use education data to promote play, creativity, and social justice over normativity and conformity.Educational analytics tend toward aggregation, asking what a “normative” learner does. In The Left Hand of Data, educational researchers Matthew Berland...
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| Formaat: | Online |
| Taal: | Engels |
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The MIT Press
2024
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| Online toegang: | ONIX_20241025_9780262377645_118 |
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| _version_ | 1869515379667107840 |
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| author | Berland, Matthew Garcia, Antero |
| author_browse | Berland, Matthew Garcia, Antero |
| author_facet | Berland, Matthew Garcia, Antero |
| author_sort | Berland, Matthew |
| collection | Directory of Open Access Books |
| description | A speculative framework that imagines how we can use education data to promote play, creativity, and social justice over normativity and conformity.Educational analytics tend toward aggregation, asking what a “normative” learner does. In The Left Hand of Data, educational researchers Matthew Berland and Antero Garcia start from a different assumption—that outliers are, and must be treated as, valued individuals. Berland and Garcia argue that the aim of analytics should not be about enforcing and entrenching norms but about using data science to break new ground and enable play and creativity. From this speculative vantage point, they ask how we can go about living alongside data in a better way, in a more just way, while also building on the existing technologies and our knowledge of the present.The Left Hand of Data explores the many ways in which we use data to shape the possible futures of young people—in schools, in informal learning environments, in colleges, in libraries, and with educational games. It considers the processes by which students are sorted, labeled, categorized, and intervened upon using the bevy of data extracted and collected from individuals and groups, anonymously or identifiably. When, how, and with what biases are these data collected and utilized? What decisions must educational researchers make around data in an era of high-stakes assessment, surveillance, and rising inequities tied to race, class, gender, and other intersectional factors? How are these complex considerations around data changing in the rapidly evolving world of machine learning, AI, and emerging fields of educational data science? The surprising answers the authors discover in their research make clear that we do not need to wait for a hazy tomorrow to do better today. |
| format | Online |
| id | doab-20.500.12854ir-146740 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | The MIT Press |
| publisherStr | The MIT Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1467402024-10-25T13:19:09Z The Left Hand of Data Berland, Matthew Garcia, Antero data education learning sciences social justice learning design games for learning design based research mixed methods educational research critical theory in education constructionism computer science education informal learning classrooms game design assessment in education thema EDItEUR::J Society and Social Sciences::JN Education::JNV Educational equipment and technology, computer-aided learning (CAL) thema EDItEUR::J Society and Social Sciences::JN Education::JNF Educational strategies and policy thema EDItEUR::J Society and Social Sciences::JN Education::JNA Philosophy and theory of education A speculative framework that imagines how we can use education data to promote play, creativity, and social justice over normativity and conformity.Educational analytics tend toward aggregation, asking what a “normative” learner does. In The Left Hand of Data, educational researchers Matthew Berland and Antero Garcia start from a different assumption—that outliers are, and must be treated as, valued individuals. Berland and Garcia argue that the aim of analytics should not be about enforcing and entrenching norms but about using data science to break new ground and enable play and creativity. From this speculative vantage point, they ask how we can go about living alongside data in a better way, in a more just way, while also building on the existing technologies and our knowledge of the present.The Left Hand of Data explores the many ways in which we use data to shape the possible futures of young people—in schools, in informal learning environments, in colleges, in libraries, and with educational games. It considers the processes by which students are sorted, labeled, categorized, and intervened upon using the bevy of data extracted and collected from individuals and groups, anonymously or identifiably. When, how, and with what biases are these data collected and utilized? What decisions must educational researchers make around data in an era of high-stakes assessment, surveillance, and rising inequities tied to race, class, gender, and other intersectional factors? How are these complex considerations around data changing in the rapidly evolving world of machine learning, AI, and emerging fields of educational data science? The surprising answers the authors discover in their research make clear that we do not need to wait for a hazy tomorrow to do better today. 2024-10-25T13:19:07Z 2024-10-25T13:19:07Z 2024 book ONIX_20241025_9780262377645_118 9780262377645 9780262547529 https://directory.doabooks.org/handle/20.500.12854/146740 eng The MIT Press image/jpeg n/a https://doi.org/10.7551/mitpress/14381.001.0001 The MIT Press The MIT Press 10.7551/mitpress/14381.001.0001 10.7551/mitpress/14381.001.0001 ae0cf962-f685-4933-93d1-916defa5123d 9780262377645 9780262547529 The MIT Press 212 Cambridge open access |
| spellingShingle | data education learning sciences social justice learning design games for learning design based research mixed methods educational research critical theory in education constructionism computer science education informal learning classrooms game design assessment in education thema EDItEUR::J Society and Social Sciences::JN Education::JNV Educational equipment and technology, computer-aided learning (CAL) thema EDItEUR::J Society and Social Sciences::JN Education::JNF Educational strategies and policy thema EDItEUR::J Society and Social Sciences::JN Education::JNA Philosophy and theory of education Berland, Matthew Garcia, Antero The Left Hand of Data |
| title | The Left Hand of Data |
| title_full | The Left Hand of Data |
| title_fullStr | The Left Hand of Data |
| title_full_unstemmed | The Left Hand of Data |
| title_short | The Left Hand of Data |
| title_sort | left hand of data |
| topic | data education learning sciences social justice learning design games for learning design based research mixed methods educational research critical theory in education constructionism computer science education informal learning classrooms game design assessment in education thema EDItEUR::J Society and Social Sciences::JN Education::JNV Educational equipment and technology, computer-aided learning (CAL) thema EDItEUR::J Society and Social Sciences::JN Education::JNF Educational strategies and policy thema EDItEUR::J Society and Social Sciences::JN Education::JNA Philosophy and theory of education |
| topic_facet | data education learning sciences social justice learning design games for learning design based research mixed methods educational research critical theory in education constructionism computer science education informal learning classrooms game design assessment in education thema EDItEUR::J Society and Social Sciences::JN Education::JNV Educational equipment and technology, computer-aided learning (CAL) thema EDItEUR::J Society and Social Sciences::JN Education::JNF Educational strategies and policy thema EDItEUR::J Society and Social Sciences::JN Education::JNA Philosophy and theory of education |
| url | ONIX_20241025_9780262377645_118 |
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