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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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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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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