A Correlational Study of Mathematical Interest and Problem-Solving Ability of Male and Female Students of Secondary Level

The present study aimed to examine whether students with stronger problem-solving abilities also show a higher interest in mathematics. Mathematics, as a foundational subject in school education, contributes significantly to the development of logical reasoning and critical thinking. Problem-solving ability, a crucial cognitive skill, enables students to approach mathematical situations effectively. The study adopted a correlational research design and included a sample of 160 secondary level students (80 boys and 80 girls) selected through random sampling from CBSE-affiliated schools in Ghaziabad district. Standardized tools were used to assess both mathematical interest and problem-solving ability. Data analysis was carried out using Karl Pearson’s correlation coefficient. The results indicated that there was no statistically significant correlation between problem-solving ability and mathematical interest for both boys (r=0.185) and girls (r=0.167). This suggests that, in the selected sample, students with higher problem-solving ability do not necessarily exhibit greater interest in mathematics. Although the hypothesis that mathematical interest depends on problem-solving ability was not supported by the findings, the study highlights the importance of exploring other factors such as teaching methods, learning environment, and personal motivation, which may influence students’ interest in mathematics.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-01-01
DOI
https://doi.org/10.47772/ijriss.2025.907000131
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

A Correlational Study of Mathematical Interest and Problem-Solving Ability of Male and Female Students of Secondary Level

Anoj Raj, Prachi Nehra
International Journal of Research and Innovation in Social Science
Education and Learning Interventions
article

A Correlational Study of Mathematical Interest and Problem-Solving Ability of Male and Female Students of Secondary Level

Anoj Raj, Prachi Nehra
article en

Abstract

The present study aimed to examine whether students with stronger problem-solving abilities also show a higher interest in mathematics. Mathematics, as a foundational subject in school education, contributes significantly to the development of logical reasoning and critical thinking. Problem-solving ability, a crucial cognitive skill, enables students to approach mathematical situations effectively. The study adopted a correlational research design and included a sample of 160 secondary level students (80 boys and 80 girls) selected through random sampling from CBSE-affiliated schools in Ghaziabad district. Standardized tools were used to assess both mathematical interest and problem-solving ability. Data analysis was carried out using Karl Pearson’s correlation coefficient. The results indicated that there was no statistically significant correlation between problem-solving ability and mathematical interest for both boys (r=0.185) and girls (r=0.167). This suggests that, in the selected sample, students with higher problem-solving ability do not necessarily exhibit greater interest in mathematics. Although the hypothesis that mathematical interest depends on problem-solving ability was not supported by the findings, the study highlights the importance of exploring other factors such as teaching methods, learning environment, and personal motivation, which may influence students’ interest in mathematics.

International Journal of Research and Innovation in Social ScienceVol. IX(VII)
Openalex Percentile: Top 71%
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.