Building Equitable Education Datasets for Developing Nations: Equity-Minded Data Collection and Disaggregation to Improve Schools, Districts, and Communities
Many studies of education engage with large datasets to attempt to solve educational problems. However, no studies have provided a systematic overview of how large datasets could be compiled with an eye toward solving educational problems related to equity, especially as it relates to racial, gender...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Education Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7102/13/4/348 |
| _version_ | 1797605708642910208 |
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| author | Z. W. Taylor Jase Kugiya Chelseaia Charran Joshua Childs |
| author_facet | Z. W. Taylor Jase Kugiya Chelseaia Charran Joshua Childs |
| author_sort | Z. W. Taylor |
| collection | DOAJ |
| description | Many studies of education engage with large datasets to attempt to solve educational problems. However, no studies have provided a systematic overview of how large datasets could be compiled with an eye toward solving educational problems related to equity, especially as it relates to racial, gender, and socioeconomic equity. This study provides a synthesis of literature and recommendations for how developing nations can learn from peers and collect, disaggregate, and analyze data in ways that promote equity, thus improving schools, school districts, and communities. |
| first_indexed | 2024-03-11T05:04:55Z |
| format | Article |
| id | doaj.art-4640a15783ab479095eaa6edbc7b70d7 |
| institution | Directory Open Access Journal |
| issn | 2227-7102 |
| language | English |
| last_indexed | 2024-03-11T05:04:55Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Education Sciences |
| spelling | doaj.art-4640a15783ab479095eaa6edbc7b70d72023-11-17T18:59:13ZengMDPI AGEducation Sciences2227-71022023-03-0113434810.3390/educsci13040348Building Equitable Education Datasets for Developing Nations: Equity-Minded Data Collection and Disaggregation to Improve Schools, Districts, and CommunitiesZ. W. Taylor0Jase Kugiya1Chelseaia Charran2Joshua Childs3Education and Human Sciences, University of Southern Mississippi, Hattiesburg, MS 39406, USADepartment of Educational Leadership and Policy, The University of Texas at Austin, Austin, TX 78712, USADépartement de Psychoéducation, Université du Québec à Trois-Rivières, Trois-Rivières, QC G8Z 4M3, CanadaDepartment of Educational Leadership and Policy, The University of Texas at Austin, Austin, TX 78712, USAMany studies of education engage with large datasets to attempt to solve educational problems. However, no studies have provided a systematic overview of how large datasets could be compiled with an eye toward solving educational problems related to equity, especially as it relates to racial, gender, and socioeconomic equity. This study provides a synthesis of literature and recommendations for how developing nations can learn from peers and collect, disaggregate, and analyze data in ways that promote equity, thus improving schools, school districts, and communities.https://www.mdpi.com/2227-7102/13/4/348educationdatasetsbig datadecision-makingdeveloping nationsequity |
| spellingShingle | Z. W. Taylor Jase Kugiya Chelseaia Charran Joshua Childs Building Equitable Education Datasets for Developing Nations: Equity-Minded Data Collection and Disaggregation to Improve Schools, Districts, and Communities Education Sciences education datasets big data decision-making developing nations equity |
| title | Building Equitable Education Datasets for Developing Nations: Equity-Minded Data Collection and Disaggregation to Improve Schools, Districts, and Communities |
| title_full | Building Equitable Education Datasets for Developing Nations: Equity-Minded Data Collection and Disaggregation to Improve Schools, Districts, and Communities |
| title_fullStr | Building Equitable Education Datasets for Developing Nations: Equity-Minded Data Collection and Disaggregation to Improve Schools, Districts, and Communities |
| title_full_unstemmed | Building Equitable Education Datasets for Developing Nations: Equity-Minded Data Collection and Disaggregation to Improve Schools, Districts, and Communities |
| title_short | Building Equitable Education Datasets for Developing Nations: Equity-Minded Data Collection and Disaggregation to Improve Schools, Districts, and Communities |
| title_sort | building equitable education datasets for developing nations equity minded data collection and disaggregation to improve schools districts and communities |
| topic | education datasets big data decision-making developing nations equity |
| url | https://www.mdpi.com/2227-7102/13/4/348 |
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