دورية أكاديمية
Unraveling educational networks: Data-driven exploration through multivariate regression, geographical clustering, and multidimensional scaling
| العنوان: | Unraveling educational networks: Data-driven exploration through multivariate regression, geographical clustering, and multidimensional scaling |
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| المؤلفون: | Restu Arisanti, Yuyun Hidayat, Irlandia Ginanjar, Titi Purwandari, Arum Putri Juniarsih, Janatin Janatin |
| المصدر: | International Journal of Data and Network Science, Vol 8, Iss 2, Pp 845-856 (2024) |
| بيانات النشر: | Growing Science, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Social Sciences LCC:Management. Industrial management |
| مصطلحات موضوعية: | Social Sciences, Management. Industrial management, HD28-70 |
| الوصف: | Enhancing rates of school participation holds significant importance for a nation’s educational achievements. This research employs a comprehensive approach that combines various methodologies, including multivariate regression analysis, geographic categorization, and multidimentional visualization, to examine the factors influencing school enrollment in Indonesia. Through the integration of diverse data sources, we investigate the connections among variables such as economic status, school accessibility, educational quality, and societal considerations concerning enrollment rates. This discrete impact of each factor on enrollment variations is analyzed through multivariate regression. Geospatial clustering analysis reveals enrollment trends in different regions, while multidimensional visualization untangles the intricate interplay of influencing factors. This holistic approach facilitates a nuanced comprehension of these dynamics within Indonesia’s varied geographical and society offering guidance in the formulation of more efficient strategies to improve school attendance, tackle enrollment disparities, and advocate for inclusive education based on fundamental determinants. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2561-8148 2561-8156 |
| Relation: | http://www.growingscience.com/ijds/Vol8/ijdns_2023_245.pdf; https://doaj.org/toc/2561-8148; https://doaj.org/toc/2561-8156 |
| DOI: | 10.5267/j.ijdns.2023.12.020 |
| URL الوصول: | https://doaj.org/article/8162a90254404f5fa3ae48e129886f37 |
| رقم الأكسشن: | edsdoj.8162a90254404f5fa3ae48e129886f37 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 25618148 25618156 |
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| DOI: | 10.5267/j.ijdns.2023.12.020 |