Investigating the Impact of Instructional Factors on Linear Function Skills and Academic Engagement

This correlational study investigated the impact of instructional factors on students' skills in linear functions and their academic engagement in mathematics courses in Gatsibo District. Utilizing a quantitative approach, data were collected from 276 secondary school students through a structured questionnaire designed to measure teaching strategies, availability of learning resources, and student motivation. Pearson correlation coefficients were calculated to explore relationships among these variables, revealing a significant positive correlation, particularly with student motivation (r = 0.988), which was the strongest predictor of success in linear function exercises and retention of knowledge. Additionally, effective teaching strategies and heightened student attention were associated with improved engagement indicators. The study highlighted the importance of prioritizing student motivation and positioning engaging instructional strategies to enhance academic performance in linear functions, supporting for targeted interventions to raise deeper understanding and improved outcomes in mathematics education

Authors

Institutions

Publication Details

Journal
International Journal of Studies in Education and Science
Published
2025-06-30
DOI
https://doi.org/10.46328/ijses.2211
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

Investigating the Impact of Instructional Factors on Linear Function Skills and Academic Engagement

Onesme Niyibizi
International Journal of Studies in Education and Science
Education and Learning Interventions
article

Investigating the Impact of Instructional Factors on Linear Function Skills and Academic Engagement

Onesme Niyibizi
article en

Abstract

This correlational study investigated the impact of instructional factors on students' skills in linear functions and their academic engagement in mathematics courses in Gatsibo District. Utilizing a quantitative approach, data were collected from 276 secondary school students through a structured questionnaire designed to measure teaching strategies, availability of learning resources, and student motivation. Pearson correlation coefficients were calculated to explore relationships among these variables, revealing a significant positive correlation, particularly with student motivation (r = 0.988), which was the strongest predictor of success in linear function exercises and retention of knowledge. Additionally, effective teaching strategies and heightened student attention were associated with improved engagement indicators. The study highlighted the importance of prioritizing student motivation and positioning engaging instructional strategies to enhance academic performance in linear functions, supporting for targeted interventions to raise deeper understanding and improved outcomes in mathematics education

International Journal of Studies in Education and ScienceVol. 6(3)
University of Rwanda (RW)
Openalex Percentile: Top 66%
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.

Investigating the Impact of Instructional Factors on Linear Function Skills and Academic Engagement — Onesme Niyibizi · International Journal of Studies in Education and Science (2025) | TGRS Research Map | TGRS