The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
PISA 2018 Results (Volume I): What Students Know and Can Do
Abstract
Among its many findings, our PISA 2018 assessment shows that 15-year-old students in the four provinces/municipalities of China that participated in the study -Beijing, Shanghai, Jiangsu and Zhejiang -outperformed by a large margin their peers from all of the other 78 participating education systems, in mathematics and science.Moreover, the 10% most disadvantaged students in these four jurisdictions also showed better reading skills than those of the average student in OECD countries, as well as skills similar to the 10% most advantaged students in some of these countries.True, these four provinces/municipalities in eastern China are far from representing China as a whole, but the size of each of them compares to that of a typical OECD country, and their combined populations amount to over 180 million.What makes their achievement even more remarkable is that the level of income of these four Chinese regions is well below the OECD average.The quality of their schools today will feed into the strength of their economies tomorrow.In this context, and given the fact that expenditure per primary and secondary student rose by more than 15% across OECD countries over the past decade, it is disappointing that most OECD countries saw virtually no improvement in the performance of their students since PISA was first conducted in 2000.In fact, only seven of the 79 education systems analysed saw significant improvements in the reading, mathematics and science performance of their student…
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“results of the large-scale PISA surveys (performed on about 7.000 pupils) routinely point to significant inequalities in the academic skills of French pupils, and their average level of mathematics performance has declined since the early 2000s (e.g.OECD, 2019).”
From No negative Flynn effect in France: Why variations of intelligence should not be assessed using tests based on cultural knowledge (2021) · cites this paper as OECD, 2019
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PISA 2018 Assessment and Analytical Framework
OECD (2019) · Programme for international student assessment/Internationale Schulleistungsstudie · doi:10.1787/b25efab8-en · Cited by 2,216
Self-citationThe Race between Education and Technology
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Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects
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PISA 2015 Results (Volume I): Excellence and Equity in Education
OECD (2016) · PISA · doi:10.1787/9789264266490-en · Cited by 1,316
Self-citationWorld Development Report 2018: Learning to Realize Education's Promise
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Factors Affecting the Performance of Grade - 10 Students in Science
TOLENTINO, M. M. (2025) · AIDE Interdisciplinary Research Journal · doi:10.56648/aide-irj.v11i1.171 · Cited by 1
Metadata
- Authors
- OECD
- Corresponding author
- OECD
- Venue
- PISA
- Publisher
- OECD Publishing
- Published
- 2019-12-03
- ISSN
- 1990-8539 (ISSN-L)
- 1996-3777
- OpenAlex
- W4230906942
- Cited by
- 2,350
- References
- 74
- Citations by year
- 2026: 512 · 2025: 436 · 2024: 316 · 2023: 362 · 2022: 296 · 2021: 227 · 2020: 174 · 2019: 17
- FWCI
- 183.36
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Programme for international student assessment/Internationale Schulleistungsstudie (publishedVersion)
- Topics
- Social Sciences › Political Science and International Relations › Global Educational Policies and Reforms
- Social Sciences › Education › Literacy and Educational Practices
- Social Sciences › Education › Educational Assessment and Improvement
- Keywords
- PISA 2018, reading literacy, reading comprehension, reading level, reading materials, teaching aids, student observation, informed consent
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