Differentiated Learning Activities: Effects on Students Motivation and Involvement in Teaching Mathematics

This quasi-experimental study investigates the effects of differentiated instruction on student motivation and involvement in mathematics education. By comparing pretest and posttest mean scores, the research reveals that both traditional and differentiated teaching methods improve student learning; however, differentiated instruction shows a significantly greater increase in performance. Students exhibited positive attitudes towards mathematics, particularly in readiness and engagement, with a notable enhancement in motivation following the implementation of differentiated strategies. The findings suggest that educators should incorporate innovative teaching methods, such as Learning Centers and Flexible Grouping, to foster a more inclusive and engaging classroom environment. Ultimately, this study highlights the potential of differentiated instruction to enhance student appreciation for mathematics and provide actionable insights for effective teaching practices. A pretest/posttest questionnaire, adapted from the Division Unified Quarterly Pretest and Posttest materials, was used to assess student performance. The study utilized various statistical tools, including mean percentage scores, frequency and percentage, t-tests, weighted means, and ANCOVA, to analyze the data. both the experimental and conventional teaching methods resulted in an increase in mean scores from pretest to posttest, indicating that both approaches were effective in improving student learning. However, the experimental method demonstrated a larger mean score gain compared to the conventional method, suggesting a greater improvement in student learning outcomes. In contrast, a statistically significant difference was found between the pretest and posttest mean scores for the Experimental method, suggesting that this method was more effective in improving student performance. The study found a statistically significant difference in students’ motivation and involvement before and after the implementation of differentiated instruction. This significant difference suggests that differentiated instruction had a positive impact on student motivation and engagement.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-01-01
DOI
https://doi.org/10.47772/ijriss.2025.903sedu0131
Citations
3
Primary Topic
Education Practices and Evaluation
Type
article
Field-Weighted Citation Impact
26.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Differentiated Learning Activities: Effects on Students Motivation and Involvement in Teaching Mathematics

Razil M. Gumanoy, Robinson Salazar
3 citations
International Journal of Research and Innovation in Social Science
Education Practices and Evaluation
26.78
article

Differentiated Learning Activities: Effects on Students Motivation and Involvement in Teaching Mathematics

Razil M. Gumanoy, Robinson Salazar
article en
3 citations

Abstract

This quasi-experimental study investigates the effects of differentiated instruction on student motivation and involvement in mathematics education. By comparing pretest and posttest mean scores, the research reveals that both traditional and differentiated teaching methods improve student learning; however, differentiated instruction shows a significantly greater increase in performance. Students exhibited positive attitudes towards mathematics, particularly in readiness and engagement, with a notable enhancement in motivation following the implementation of differentiated strategies. The findings suggest that educators should incorporate innovative teaching methods, such as Learning Centers and Flexible Grouping, to foster a more inclusive and engaging classroom environment. Ultimately, this study highlights the potential of differentiated instruction to enhance student appreciation for mathematics and provide actionable insights for effective teaching practices. A pretest/posttest questionnaire, adapted from the Division Unified Quarterly Pretest and Posttest materials, was used to assess student performance. The study utilized various statistical tools, including mean percentage scores, frequency and percentage, t-tests, weighted means, and ANCOVA, to analyze the data. both the experimental and conventional teaching methods resulted in an increase in mean scores from pretest to posttest, indicating that both approaches were effective in improving student learning. However, the experimental method demonstrated a larger mean score gain compared to the conventional method, suggesting a greater improvement in student learning outcomes. In contrast, a statistically significant difference was found between the pretest and posttest mean scores for the Experimental method, suggesting that this method was more effective in improving student performance. The study found a statistically significant difference in students’ motivation and involvement before and after the implementation of differentiated instruction. This significant difference suggests that differentiated instruction had a positive impact on student motivation and engagement.

International Journal of Research and Innovation in Social ScienceVol. IX(IIIS)
Openalex Percentile: Top 1%
Education Practices and Evaluation
26.78
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.

Differentiated Learning Activities: Effects on Students Motivation and Involvement in Teaching Mathematics — Razil M. Gumanoy, Robinson Salazar · International Journal of Research and Innovation in Social Science (2025) | TGRS Research Map | TGRS