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Harmonized cross-national PISA 2018–2022 country-level dataset with learning environment and career aspiration indicators

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Evidence · 2 claims (2 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description

A balanced longitudinal country-level dataset assembled by Popa et al. from open-access OECD PISA 2018 and 2022 tables, combining career-aspiration changes with learning-environment indicators.

Components

Claims

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Key Sources

  • Popa, D. M., Oprea, S.-V., & Bâra, A. (2022). Learning after COVID-19 and the ICT career aspirations: Are students entering the AI era with weaker skills? Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies. [email protected]. doi:10.48550/arxiv.2605.27391
Page metadata
Field Value
type product
id harmonized-cross-national-pisa-20182022-country-level-dataset-with-learning-environment-an
title Harmonized cross-national PISA 2018–2022 country-level dataset with learning environment and career aspiration indicators
description A balanced longitudinal country-level dataset assembled by Popa et al.
status review
product_kind dataset
generated by process:settle-candidates on 2026-10-11
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