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

Author

Listed:
  • Umut Türk

    (Department of Economics, Abdullah Gül University, Kayseri 38170, Turkey)

  • John Östh

    (Department of Social and Economic Geography, Uppsala University, 75120 Uppsala, Sweden
    Urban Lab at Institute for Housing and Urban Research, Uppsala University, 75120 Uppsala, Sweden
    Department of Civil Engineering and Energy Technology, OsloMet, Pilestredet 32, 0166 Oslo, Norway)

  • Marina Toger

    (Department of Social and Economic Geography, Uppsala University, 75120 Uppsala, Sweden
    Urban Lab at Institute for Housing and Urban Research, Uppsala University, 75120 Uppsala, Sweden)

  • Karima Kourtit

    (Department of Social and Economic Geography, Uppsala University, 75120 Uppsala, Sweden
    The Faculty of Management, Open University, 6419 Heerlen, The Netherlands
    Centre for European Studies, Alexandru Ioan Cuza University of Iași, 700506 Iași, Romania
    School of Architecture, Planning and Design, Polytechnic University, Ben Guerir 43150, Morocco)

Abstract

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.

Suggested Citation

  • Umut Türk & John Östh & Marina Toger & Karima Kourtit, 2021. "Using Individualised HDI Measures for Predicting Educational Performance of Young Students—A Swedish Case Study," Sustainability, MDPI, vol. 13(11), pages 1-13, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:6087-:d:564174
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    References listed on IDEAS

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    Cited by:

    1. Marina Toger & Karima Kourtit & Peter Nijkamp, 2021. "From the Guest Editors: Happy and Healthy Cities," Sustainability, MDPI, vol. 13(22), pages 1-4, November.

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