Student and school performance across countries: a machine learning approach

DOI10.1016/J.EJOR.2018.02.031zbMath1388.62378OpenAlexW2788255612MaRDI QIDQ1749516

Geraint Johnes, Tommaso Agasisti, Chiara Masci

Publication date: 17 May 2018

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://eprints.lancs.ac.uk/id/eprint/90228/1/article_Masci_2018.pdf

zbMATH Keywords

educationboostingregression treesmultilevel modelschool value-added

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Learning and adaptive systems in artificial intelligence (68T05) Case-oriented studies in operations research (90B90)

Related Items (3)

Studying the relationship between anxiety and school achievement: evidence from PISA data ⋮ Sparse regression for large data sets with outliers ⋮ Performance assessment of upper secondary schools in Italian regions using a circular pseudo-Malmquist index

Uses Software

• R

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• Bivariate multilevel models for the analysis of mathematics and reading pupils' achievements
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