School-to-School Collaboration, Student Learning Outcomes, and Mediating Factors: Evidence From Shanghai's Strong School Project

Purpose Despite the growing emphasis on promoting school collaborations, few quantitative studies have investigated the relationship between school-to-school collaboration and student learning, particularly outside the United Kingdom and the United States. This study examines the effects of Shanghai's Strong School Project (SSP), a policy initiated in 2018 to improve low-achieving schools through partnerships with high-performing schools, on students’ academic achievement and explores potential mediating factors. Design/Approach/Methods We used data from the 2018 and 2021 waves of the evaluation of middle school quality in Shanghai, including test scores in Chinese, English, Math, and Sciences, and surveys of students, teachers, and principals. Our analysis employed difference-in-differences (DID), propensity score matching combined with DID analysis (PSM-DID), and causal mediation analysis within the framework of DID. Findings School-to-school collaboration through SSP significantly enhanced test scores in all four subjects. The most pronounced effect was in Math, with a 0.67 standard deviation increase, followed by Chinese at 0.63 standard deviation. Causal mediation analysis indicated that improvements in academic performance primarily stemmed from enhanced peer relationships and principal leadership. Originality/Value This study provides quantitative evidence linking school-to-school collaboration with student learning outcomes, highlighting positive associations between collaboration and school outcomes in China, adding to the predominant literature from the United Kingdom and the United States.

Authors

Institutions

Publication Details

Journal
ECNU Review of Education
Published
2025-05-09
DOI
https://doi.org/10.1177/20965311251330932
Citations
1
Primary Topic
Collaborative Teaching and Inclusion
Type
article
Field-Weighted Citation Impact
8.93
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

School-to-School Collaboration, Student Learning Outcomes, and Mediating Factors: Evidence From Shanghai's Strong School Project

Huacong Liu, Maohua Wang
1 citations
ECNU Review of Education
Collaborative Teaching and Inclusion
8.93
article

School-to-School Collaboration, Student Learning Outcomes, and Mediating Factors: Evidence From Shanghai's Strong School Project

Huacong Liu, Maohua Wang
article en
1 citations

Abstract

Purpose Despite the growing emphasis on promoting school collaborations, few quantitative studies have investigated the relationship between school-to-school collaboration and student learning, particularly outside the United Kingdom and the United States. This study examines the effects of Shanghai's Strong School Project (SSP), a policy initiated in 2018 to improve low-achieving schools through partnerships with high-performing schools, on students’ academic achievement and explores potential mediating factors. Design/Approach/Methods We used data from the 2018 and 2021 waves of the evaluation of middle school quality in Shanghai, including test scores in Chinese, English, Math, and Sciences, and surveys of students, teachers, and principals. Our analysis employed difference-in-differences (DID), propensity score matching combined with DID analysis (PSM-DID), and causal mediation analysis within the framework of DID. Findings School-to-school collaboration through SSP significantly enhanced test scores in all four subjects. The most pronounced effect was in Math, with a 0.67 standard deviation increase, followed by Chinese at 0.63 standard deviation. Causal mediation analysis indicated that improvements in academic performance primarily stemmed from enhanced peer relationships and principal leadership. Originality/Value This study provides quantitative evidence linking school-to-school collaboration with student learning outcomes, highlighting positive associations between collaboration and school outcomes in China, adding to the predominant literature from the United Kingdom and the United States.

ECNU Review of Education
Shanghai Jiao Tong University (CN)
Openalex Percentile: Top 4%
Collaborative Teaching and Inclusion
8.93
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.