Student well-being and mathematical literacy performance in PISA 2018: a machine-learning approach-Reference-Cited by-同舟云学术

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Student well-being and mathematical literacy performance in PISA 2018: a machine-learning approach

Published:2024-03-15 Issue:3 Volume:44 Page:340-357
ISSN:0144-3410
Container-title:Educational Psychology
language:en
Short-container-title:Educational Psychology

Author:

Arroyo Resino Delia¹^ORCID,Constante-Amores Alexander²^ORCID,Gil Madrona Pedro³^ORCID,Carrillo López Pedro José⁴^ORCID

Affiliation:

1. Department of Education, University Internacional of La Rioja, Logroño, Spain

2. Department of Psychology, Universidad European of Madrid, Madrid, Spain

3. Department of Didactics of Physical, Artistic and Music Education, Faculty of Education of Albacete, University of Castilla La Mancha, Ciudad Real, Spain

4. Faculty of Education of Toledo, Castilla-La Mancha University, Toledo, Spain

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01443410.2024.2359104

Reference61 articles.

1. La repetición de curso a debate: un estudio empírico a partir de PISA 2015

2. Depressive Symptoms, Self-Esteem and Perceived Parent–Child Relationship in Early Adolescence

3. A review of the relationship between parental involvement indicators and academic achievement

4. A Framework for the Analysis of Student Well-Being in the PISA 2015 Study

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The effects of students’ backgrounds, attitudes, and ICT familiarity on mathematical literacy: latent profile analysis and lasso regression;Education and Information Technologies;2024-09-13

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