Transforming Social Determinants to Educational Outcomes: Geospatial Considerations
In recovering from one of the worst educational crises in recorded history due to the pandemic, in a mission to rebuild and become more resilient, there has been a heightened urgency to provide resources to communities most in need. However, precisely identifying those needs have become all the more...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Healthcare |
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| Online Access: | https://www.mdpi.com/2227-9032/10/10/1974 |
| _version_ | 1797473058694365184 |
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| author | Sri Banerjee G. Michael Szirony Nina McCune W. Sumner Davis Sue Subocz Brian Ragsdale |
| author_facet | Sri Banerjee G. Michael Szirony Nina McCune W. Sumner Davis Sue Subocz Brian Ragsdale |
| author_sort | Sri Banerjee |
| collection | DOAJ |
| description | In recovering from one of the worst educational crises in recorded history due to the pandemic, in a mission to rebuild and become more resilient, there has been a heightened urgency to provide resources to communities most in need. However, precisely identifying those needs have become all the more important due to the increase in popularity of e-learning as a suitable option and the improvement of technologies. Most notably, socially disadvantaged and historically marginalized communities were disproportionately and severely impacted by several aspects of the pandemic, in terms of health, economics, access to education, and sustainable well-being. This differential effect was modeled spatially with the combination of aerial photogrammetry, traditional geospatial mapping, and other robust AI-driven techniques to synthesize and analyze the various types of data. In this original research study, we apply various spatial health variables, relate them to educational variables in an initial empirical process of understanding how to address equity-related considerations from the context of the learner’s experience, providing the empirical evidence for the development of locally tailored learner support and assistance, meeting students where they are by specifically identifying and targetting geographically underserved areas. We found that there were clear statistically significant relationships between educational attainment and several physical (<i>p</i> < 0.001), mental (<i>p</i> = 0.003), access to healthy food/food security (<i>p</i> < 0.001), and uptake of preventative health measures (<i>p</i> < 0.001), which also varied geographically. Geographic variations in learning experiences demonstrates the unquestionable need to understand a variety of physical, mental, and dietary factors surrounding the student’s success. Understanding a combination of these factors in a geospatial context will allow educational institutions to best serve the needs of learners. |
| first_indexed | 2024-03-09T20:09:45Z |
| format | Article |
| id | doaj.art-78f338aed7d446238275359155e6d2b9 |
| institution | Directory Open Access Journal |
| issn | 2227-9032 |
| language | English |
| last_indexed | 2024-03-09T20:09:45Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Healthcare |
| spelling | doaj.art-78f338aed7d446238275359155e6d2b92023-11-24T00:20:16ZengMDPI AGHealthcare2227-90322022-10-011010197410.3390/healthcare10101974Transforming Social Determinants to Educational Outcomes: Geospatial ConsiderationsSri Banerjee0G. Michael Szirony1Nina McCune2W. Sumner Davis3Sue Subocz4Brian Ragsdale5School of Health Sciences and Public Policy Core Faculty, Walden University, 100 Washington Avenue South Suite 1210, Minneapolis, MN 55401, USASchool of Counseling Core Faculty, Walden University, 100 Washington Avenue South Suite 1210, Minneapolis, MN 55401, USADepartment of Inclusive Teaching and Learning, Walden University, 100 Washington Avenue South Suite 1210, Minneapolis, MN 55401, USASchool of Health Sciences and Public Policy Faculty, Walden University, 100 Washington Avenue South Suite 1210, Minneapolis, MN 55401, USAOffice of the Associate President, Walden University, 100 Washington Avenue South Suite 1210, Minneapolis, MN 55401, USAOffice of Institutional Effectiveness, Walden University, 100 Washington Avenue South Suite 1210, Minneapolis, MN 55401, USAIn recovering from one of the worst educational crises in recorded history due to the pandemic, in a mission to rebuild and become more resilient, there has been a heightened urgency to provide resources to communities most in need. However, precisely identifying those needs have become all the more important due to the increase in popularity of e-learning as a suitable option and the improvement of technologies. Most notably, socially disadvantaged and historically marginalized communities were disproportionately and severely impacted by several aspects of the pandemic, in terms of health, economics, access to education, and sustainable well-being. This differential effect was modeled spatially with the combination of aerial photogrammetry, traditional geospatial mapping, and other robust AI-driven techniques to synthesize and analyze the various types of data. In this original research study, we apply various spatial health variables, relate them to educational variables in an initial empirical process of understanding how to address equity-related considerations from the context of the learner’s experience, providing the empirical evidence for the development of locally tailored learner support and assistance, meeting students where they are by specifically identifying and targetting geographically underserved areas. We found that there were clear statistically significant relationships between educational attainment and several physical (<i>p</i> < 0.001), mental (<i>p</i> = 0.003), access to healthy food/food security (<i>p</i> < 0.001), and uptake of preventative health measures (<i>p</i> < 0.001), which also varied geographically. Geographic variations in learning experiences demonstrates the unquestionable need to understand a variety of physical, mental, and dietary factors surrounding the student’s success. Understanding a combination of these factors in a geospatial context will allow educational institutions to best serve the needs of learners.https://www.mdpi.com/2227-9032/10/10/1974remote sensinggeospatialsocial determinantseducationequityframeworks |
| spellingShingle | Sri Banerjee G. Michael Szirony Nina McCune W. Sumner Davis Sue Subocz Brian Ragsdale Transforming Social Determinants to Educational Outcomes: Geospatial Considerations Healthcare remote sensing geospatial social determinants education equity frameworks |
| title | Transforming Social Determinants to Educational Outcomes: Geospatial Considerations |
| title_full | Transforming Social Determinants to Educational Outcomes: Geospatial Considerations |
| title_fullStr | Transforming Social Determinants to Educational Outcomes: Geospatial Considerations |
| title_full_unstemmed | Transforming Social Determinants to Educational Outcomes: Geospatial Considerations |
| title_short | Transforming Social Determinants to Educational Outcomes: Geospatial Considerations |
| title_sort | transforming social determinants to educational outcomes geospatial considerations |
| topic | remote sensing geospatial social determinants education equity frameworks |
| url | https://www.mdpi.com/2227-9032/10/10/1974 |
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