Indexed metadata

Variation Levels of Mathematical Literacy Among Students Participating in (PISA 2022) Attributed to Schools’ Characteristics

Ahmed Mubarak Alreshidi, Nawaf Alreshidi

Source record

Source: Crossref

Published: Nov 29, 2025

DOI: 10.1177/00131245251393720

Open original source ↗

Source abstract

The current study aimed to reveal how schools’ characteristics affected students’ mathematical literacy according to PISA 2022 in Saudi Arabia, Qatar and UAE. The sample included all schools and students who participated from these countries (39,204 students from 1,261 schools). The number of participants in Saudi Arabia reached (6,928 students & 193 schools) with an average score of (389), (7,676 students & 229 schools) participants with an average score of (412) in Qatar, while participants from the Emirates “UAE” reached (24,600 students & 840 schools) with an average score of (433). Multiple regression analysis was used, which revealed that these variables contributed to explaining (35.7%) of the variance in mathematical literacy in Saudi Arabia, (46.6%) in Qatar, and (47.4%) in UAE. The study found that school type significantly affected mathematical literacy in all three countries. Community size positively influenced mathematical literacy in the UAE, while larger math class sizes and student truancy negatively affected it in the UAE. Additionally, students skipping classes negatively impacted mathematical literacy in Qatar. However, bullying had no effect on mathematical literacy in any of the countries. The study concluded with a detailed analysis of the results and recommendations for improving mathematical literacy in the region.

Evidence graph

No public relationships recorded yet.

Integrity note: This page is a factual metadata record created by deterministic ingestion. It is not a claim that the work moves a mathematical frontier or has been independently verified.

Variation Levels of Mathematical Literacy Among Students Participating in (PISA 2022) Attributed to Schools’ Characteristics — Mathematical Frontier Network