Relationship between Peer Assisted Learning and Students’ Academic Achievement: The Mediating Effect of Students’ Attitude.

This study examined the relationship between peer-assisted learning (PAL) and students’ mathematics achievement, with a focus on the mediating role of students’ attitudes toward mathematics. The research was conducted in the Sekyere-Kumawu District of Ghana, involving 367 students drawn from Banksmen Senior High School and Dadease Agric Senior High School through stratified random sampling. A cross-sectional survey design was employed, and data were collected using a structured questionnaire. Structural equation modeling (SEM) confirmed the model’s good fit (CFI = 0.973, RMSEA = 0.053). Results indicated that PAL significantly and positively predicted students’ mathematics achievement (β = 0.768, p < 0.001). Furthermore, students’ attitudes toward mathematics were found to partially mediate this relationship (indirect effect = 3%, p < 0.01), suggesting that PAL not only improves performance directly but also indirectly by fostering more positive attitudes. These findings underscore the potential of structured PAL programs to enhance mathematics outcomes in secondary schools. It is recommended that schools adopt PAL strategies alongside initiatives such as motivational workshops and supportive classroom environments to cultivate positive mathematical attitudes and maximize student achievement.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-06-30
DOI
https://doi.org/10.47772/ijriss.2025.90600071
Primary Topic
Education and Learning Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relationship between Peer Assisted Learning and Students’ Academic Achievement: The Mediating Effect of Students’ Attitude.

A Samuel, Akwaboah Sumaila
International Journal of Research and Innovation in Social Science
Education and Learning Interventions
article

Relationship between Peer Assisted Learning and Students’ Academic Achievement: The Mediating Effect of Students’ Attitude.

A Samuel, Akwaboah Sumaila
article en

Abstract

This study examined the relationship between peer-assisted learning (PAL) and students’ mathematics achievement, with a focus on the mediating role of students’ attitudes toward mathematics. The research was conducted in the Sekyere-Kumawu District of Ghana, involving 367 students drawn from Banksmen Senior High School and Dadease Agric Senior High School through stratified random sampling. A cross-sectional survey design was employed, and data were collected using a structured questionnaire. Structural equation modeling (SEM) confirmed the model’s good fit (CFI = 0.973, RMSEA = 0.053). Results indicated that PAL significantly and positively predicted students’ mathematics achievement (β = 0.768, p < 0.001). Furthermore, students’ attitudes toward mathematics were found to partially mediate this relationship (indirect effect = 3%, p < 0.01), suggesting that PAL not only improves performance directly but also indirectly by fostering more positive attitudes. These findings underscore the potential of structured PAL programs to enhance mathematics outcomes in secondary schools. It is recommended that schools adopt PAL strategies alongside initiatives such as motivational workshops and supportive classroom environments to cultivate positive mathematical attitudes and maximize student achievement.

International Journal of Research and Innovation in Social ScienceVol. IX(VI)
Openalex Percentile: Top 78%
Education and Learning Interventions
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.