TY - JOUR
T1 - Factors Predicting Students’ Performance in Mathematics
T2 - Insights from a Large-Scale Study in Pakistan
AU - Bhutta, Sadia Muzaffar
AU - Ahmad, Sohail
AU - Ansari, Aisha Naz
N1 - Publisher Copyright:
© 2025 Research Council on Mathematics Learning.
PY - 2025
Y1 - 2025
N2 - Mathematics education has long been debated, with evidence from Pakistan highlighting poor student performance. However, key factors influencing mathematics achievement remain underexplored. This paper presents findings from a large-scale nationwide study examining predictors of student performance in mathematics. The study assessed the pedagogical quality of elementary science and mathematics teachers and their students’ learning outcomes. It considered factors ranging from school systems to familial influences affecting science and mathematics learning. Using a cross-sectional survey, the study evaluated students’ mathematics achievement and teachers’ classroom practices through reliable assessments and observations. The sample comprised 303 teachers and 15,343 students, selected via multistage cluster random sampling across Pakistan. Multiple linear regression identified significant predictors of student performance, including school system, teacher qualification, pedagogical practices, instructional time, language of instruction, grade level, student age, and parental qualification. The findings have implications for policy, practice, and research.
AB - Mathematics education has long been debated, with evidence from Pakistan highlighting poor student performance. However, key factors influencing mathematics achievement remain underexplored. This paper presents findings from a large-scale nationwide study examining predictors of student performance in mathematics. The study assessed the pedagogical quality of elementary science and mathematics teachers and their students’ learning outcomes. It considered factors ranging from school systems to familial influences affecting science and mathematics learning. Using a cross-sectional survey, the study evaluated students’ mathematics achievement and teachers’ classroom practices through reliable assessments and observations. The sample comprised 303 teachers and 15,343 students, selected via multistage cluster random sampling across Pakistan. Multiple linear regression identified significant predictors of student performance, including school system, teacher qualification, pedagogical practices, instructional time, language of instruction, grade level, student age, and parental qualification. The findings have implications for policy, practice, and research.
KW - Factors predicting student learning
KW - large scale study
KW - mathematics performance
KW - mathematics teaching practices
KW - Pakistan
UR - http://www.scopus.com/inward/record.url?scp=105000483308&partnerID=8YFLogxK
U2 - 10.1080/19477503.2025.2475689
DO - 10.1080/19477503.2025.2475689
M3 - Article
AN - SCOPUS:105000483308
SN - 1947-7503
JO - Investigations in Mathematics Learning
JF - Investigations in Mathematics Learning
ER -