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Developing basic literacy among Chinese schoolchildren through arts education integration: a quarter-century review

2025· review· en· W4412002019 on OpenAlexaboutno aff
Zhao Bei-bei, Kateryna Yuryeva

Bibliographic record

VenueProfessional Art Education · 2025
Typereview
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)LiteracyThe artsPsychologyMathematics educationHistoryPedagogyVisual artsArt

Abstract

fetched live from OpenAlex

Object. The aim of this study is to review the outcomes of the educational policy implemented by the People’s Republic of China in the 21st century, aimed at fostering basic literacy among the younger generation within the framework of the compulsory nine-year education system, particularly through the integration of arts education. Methods. The research methodology is based on the analysis and comparison of a wide range of sources, including regulatory state documents governing the functioning of the education system in the People’s Republic of China – documents from the State Council, the Central People’s Government, and the Ministry of Education of the PRC; various generations of Chinese educational standards, including those focused on the arts (2001, 2011, 2022); materials from international organizations such as UNESCO, OECD, and The World Bank; statistical data from the National Bureau of Statistics of China and the Global Economic Monitor; results from international educational assessments (PISA) and rankings (World University Rankings); the global scientific ranking Nature Index; content from scientometric platforms such as Nature and Web of Science; publications in scientific and pedagogical journals from China and Ukraine; and content from specialized websites. To analyze, compare, and synthesize the extensive statistical data, research findings, and rankings, the authors also created analytical tables and diagrams. Results. A comparison of recent Nature Index data reveals that among the top twenty leading countries, only the People’s Republic of China demonstrates consistent growth in the influence of its scientific publication activity, which serves as an indicator of the effectiveness of the country’s research efforts. A comparison of the 2024 and 2025 indicators shows that the pace of this growth is accelerating. Analysis of the results from the PISA international educational assessment and the World University Rankings over several years supports the conclusion that the course adopted by the PRC at the beginning of the 21st century to reform compulsory nine-year education through integration has proven to be fully justified. Moreover, today’s young scientists and students – those who are securing high positions for Chinese science and education in international rankings – are precisely the individuals who have passed through this renewed and reformed Chinese school system. Conclusions. The study confirms that the broad integration of the arts into school education has contributed to the cultivation of a new generation of the country’s intellectual elite. For instance, science as a pursuit of new knowledge about the world is impossible without creativity, the courage to innovate, openness to diverse perspectives, attentiveness and focus, determination in achieving results, overcoming obstacles, and solving problems. It is precisely these essential personal qualities that are nurtured through engagement with the arts and artistic activities, which the younger generation of Chinese citizens has been exposed to from early childhood in various integrated forms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.006
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.386
Teacher spread0.350 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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