Digital capital and belonging in universities: quantifying social inequalities in the Philippines
This study examines social inequalities in Philippine universities that were exacerbated during the COVID-19 pandemic. A quantitative approach using a national sample of 677 university students was utilized to measure the mediating role of digital capital on social inequalities associated with belon...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-04-01
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| Series: | Frontiers in Education |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/feduc.2023.1137121/full |
| _version_ | 1797838612919746560 |
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| author | Wilfred Luis Clamor Wilfred Luis Clamor Czarina Saloma |
| author_facet | Wilfred Luis Clamor Wilfred Luis Clamor Czarina Saloma |
| author_sort | Wilfred Luis Clamor |
| collection | DOAJ |
| description | This study examines social inequalities in Philippine universities that were exacerbated during the COVID-19 pandemic. A quantitative approach using a national sample of 677 university students was utilized to measure the mediating role of digital capital on social inequalities associated with belonging to academic spaces. For the purpose of determining direct and indirect impacts, structural equation modeling (SEM) was employed. Sociodemographic (i.e., gender, age, type of residence, and family income) and educational (i.e., type of university, year in the university, and excellence criterion) characteristics were the direct predictors that were examined as exogenous variables for both digital capital and belonging. Results indicate that type of residence (β=0.200, p<0.05), family income (β=0.220, p <0.001), and excellence criterion (β=0.271, p <0.01) are major determinants of digital capital. The model also shows that belonging is significantly predicted by age (β=0.087, p <0.05), family income (β=-0.207, p <0.001), and digital capital (β=0.576, p <0.001). Lastly, the findings reveal that the impacts of type of residence (β=0.116, p <0.05), family income (β=0.127, p <0.001), and excellence criterion (β=0.156, p <0.001) on belonging are successfully mediated by digital capital. These results suggest that there are indeed differences in students’ abilities to accumulate digital capital and that digital capital enhances the sense of belonging to and together in academic spaces for certain groups. |
| first_indexed | 2024-04-09T15:44:47Z |
| format | Article |
| id | doaj.art-f7a29f1d805a440f921c678af8431973 |
| institution | Directory Open Access Journal |
| issn | 2504-284X |
| language | English |
| last_indexed | 2024-04-09T15:44:47Z |
| publishDate | 2023-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Education |
| spelling | doaj.art-f7a29f1d805a440f921c678af84319732023-04-27T05:32:49ZengFrontiers Media S.A.Frontiers in Education2504-284X2023-04-01810.3389/feduc.2023.11371211137121Digital capital and belonging in universities: quantifying social inequalities in the PhilippinesWilfred Luis Clamor0Wilfred Luis Clamor1Czarina Saloma2Department of Sociology and Anthropology, Ateneo de Manila University, Quezon City, PhilippinesDepartment of Sociology and Behavioral Sciences, De La Salle University, Manila, PhilippinesDepartment of Sociology and Anthropology, Ateneo de Manila University, Quezon City, PhilippinesThis study examines social inequalities in Philippine universities that were exacerbated during the COVID-19 pandemic. A quantitative approach using a national sample of 677 university students was utilized to measure the mediating role of digital capital on social inequalities associated with belonging to academic spaces. For the purpose of determining direct and indirect impacts, structural equation modeling (SEM) was employed. Sociodemographic (i.e., gender, age, type of residence, and family income) and educational (i.e., type of university, year in the university, and excellence criterion) characteristics were the direct predictors that were examined as exogenous variables for both digital capital and belonging. Results indicate that type of residence (β=0.200, p<0.05), family income (β=0.220, p <0.001), and excellence criterion (β=0.271, p <0.01) are major determinants of digital capital. The model also shows that belonging is significantly predicted by age (β=0.087, p <0.05), family income (β=-0.207, p <0.001), and digital capital (β=0.576, p <0.001). Lastly, the findings reveal that the impacts of type of residence (β=0.116, p <0.05), family income (β=0.127, p <0.001), and excellence criterion (β=0.156, p <0.001) on belonging are successfully mediated by digital capital. These results suggest that there are indeed differences in students’ abilities to accumulate digital capital and that digital capital enhances the sense of belonging to and together in academic spaces for certain groups.https://www.frontiersin.org/articles/10.3389/feduc.2023.1137121/fulldigital capitalbelongingsocial inequalitiesuniversitiesPhilippinesdigital divide |
| spellingShingle | Wilfred Luis Clamor Wilfred Luis Clamor Czarina Saloma Digital capital and belonging in universities: quantifying social inequalities in the Philippines Frontiers in Education digital capital belonging social inequalities universities Philippines digital divide |
| title | Digital capital and belonging in universities: quantifying social inequalities in the Philippines |
| title_full | Digital capital and belonging in universities: quantifying social inequalities in the Philippines |
| title_fullStr | Digital capital and belonging in universities: quantifying social inequalities in the Philippines |
| title_full_unstemmed | Digital capital and belonging in universities: quantifying social inequalities in the Philippines |
| title_short | Digital capital and belonging in universities: quantifying social inequalities in the Philippines |
| title_sort | digital capital and belonging in universities quantifying social inequalities in the philippines |
| topic | digital capital belonging social inequalities universities Philippines digital divide |
| url | https://www.frontiersin.org/articles/10.3389/feduc.2023.1137121/full |
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