Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,614

The DOI matches its Crossref record; 467 of the 467 references it cites were found in a registry or an index.

PISA 2018 Assessment and Analytical Framework

Open access
OECD·2019·PISA

Abstract

This publication presents the theory underlying the PISA 2018 assessment -the seventh since the programme's inception.It includes frameworks for assessing the three core subjects of reading, mathematics and science (Chapters 2, 3 and 4, respectively), the framework for the third assessment of students' financial literacy (Chapter 5), and the framework for assessing the innovative domain, global competence (Chapter 6).These chapters outline the knowledge content that students need to acquire in each domain, the processes that students need to be able to perform, and the contexts in which this knowledge and these skills are applied.They also discuss how each domain is assessed.The publication concludes with the frameworks for the various questionnaires distributed to students, school principals, parents and teachers (Chapter 7), and the framework for the new well-being questionnaire distributed to students (Chapter 8). Box 1.1. Key features of PISA 2018The content PISA not only assesses whether students can reproduce knowledge, but also whether they can extrapolate from what they have learned and apply their knowledge in new situations.It emphasises the mastery of processes, the understanding of concepts, and the ability to function in various types of situations.The PISA 2018 survey focused on reading, with mathematics and science as minor domains of assessment.For the first time, global competence was assessed as an innovative domain.PISA 2018 also included an assessment of young people's financial literacy, which was optional for countries and economies. The studentsApproximately 710 000 students completed the PISA 2018 assessment, representing over 31 million 15-year-olds in the schools of the 79 participating countries and economies. The assessmentComputer-based tests were used, with assessments lasting a total of two hours for each student.Test items were a mixture of multiple-choice questions and questions requiring students to construct their own responses.The items were organised in groups based on a passage setting out a real-life situation.About 930 minutes of test items were used, with different students taking different combinations of test items.Students also answered a background questionnaire that took 35 minutes to complete.The questionnaire sought information about the students themselves, their homes, and their school and learning experiences.School principals completed a questionnaire that covered the school system and the learning environment.To obtain additional information, some countries/economies decided to distribute a questionnaire to teachers to learn about their training and professional development, their teaching practices and their job satisfaction.In some countries/economies, optional questionnaires were distributed to parents, who were asked to provide information on their perceptions of and involvement in their child's school, their support for learning in the home, and their own engagement with reading and with other cultures.CHAPTER 1. WHAT IS PISA? │ 13

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1787/b25efab8-en

Cites

467 of 467 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 467 references

Cited by

See all 1,614

Metadata

Authors
OECD
Venue
PISA
Published
2019-04-26
ISSN
  • 1990-8539 (ISSN-L)
  • 1996-3777
OpenAlex
W4230616807
Cited by
1,614
References
467
FWCI
199.15
Type
book
Language
en
Open access
gold

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 ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: PISA 2018 Assessment and Analytical Framework. https://app.cochat.ai/papers/10.1787/b25efab8-en
The paper
OECD. (2019). PISA 2018 Assessment and Analytical Framework. PISA. https://doi.org/10.1787/b25efab8-en

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.