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Article

Using Individualised HDI Measures for Predicting Educational Performance of Young Students—A Swedish Case Study

by 1,*, 2,3,4, 2,3 and 2,5,6,7,8
1
Department of Economics, Abdullah Gül University, Kayseri 38170, Turkey
2
Department of Social and Economic Geography, Uppsala University, 75120 Uppsala, Sweden
3
Urban Lab at Institute for Housing and Urban Research, Uppsala University, 75120 Uppsala, Sweden
4
Department of Civil Engineering and Energy Technology, OsloMet, Pilestredet 32, 0166 Oslo, Norway
5
The Faculty of Management, Open University, 6419 Heerlen, The Netherlands
6
Centre for European Studies, Alexandru Ioan Cuza University of Iași, 700506 Iași, Romania
7
School of Architecture, Planning and Design, Polytechnic University, Ben Guerir 43150, Morocco
8
Geography and Spatial Management, Adam Mickiewicz University, 61-712 Poznan, Poland
*
Author to whom correspondence should be addressed.
Academic Editor: Jordi Colomer Feliu
Sustainability 2021, 13(11), 6087; https://doi.org/10.3390/su13116087
Received: 7 May 2021 / Revised: 20 May 2021 / Accepted: 22 May 2021 / Published: 28 May 2021
(This article belongs to the Special Issue Happy and Healthy Cities)
HDI is a frequently used quantitative index of human potential and welfare, developed as a comprehensive measure for the cross-sectional and temporal comparison of socioeconomic performance. The HDI is a standardised quantitative estimation of welfare comprising indicators of health, knowledge and standard of living, enabling assessment over countries, regions or time periods, in case of limited data access. The index highlights critical conditions for equity and socioeconomic development outside the group of stakeholders and researchers. The HDI provides a learning potential that may be harnessed to enhance insights into the magnitude of human potential at super-local levels. In this paper we design, implement and test the validity of a super-local variant of HDI in the context of pedagogical performance of young pupils. We compare whether HDI is a good predictor for school grades among all ninth-grade students in Sweden during the year 2014. Our results show that a super-local HDI index is performing equal to or better than the one related to standard measures of human potential, while the index can be generated on individual levels using k-nearest neighbour approaches during the index creation process. View Full-Text
Keywords: HDI; k-nearest neighbour; super-local HDI; welfare; education; grades; academic performance; inequality HDI; k-nearest neighbour; super-local HDI; welfare; education; grades; academic performance; inequality
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MDPI and ACS Style

Türk, U.; Östh, J.; Toger, M.; Kourtit, K. Using Individualised HDI Measures for Predicting Educational Performance of Young Students—A Swedish Case Study. Sustainability 2021, 13, 6087. https://doi.org/10.3390/su13116087

AMA Style

Türk U, Östh J, Toger M, Kourtit K. Using Individualised HDI Measures for Predicting Educational Performance of Young Students—A Swedish Case Study. Sustainability. 2021; 13(11):6087. https://doi.org/10.3390/su13116087

Chicago/Turabian Style

Türk, Umut, John Östh, Marina Toger, and Karima Kourtit. 2021. "Using Individualised HDI Measures for Predicting Educational Performance of Young Students—A Swedish Case Study" Sustainability 13, no. 11: 6087. https://doi.org/10.3390/su13116087

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