Relationship between Motivational Strategies and Mathematics Performance among First-year Students at A State College in the Davao Region

This descriptive-correlational study aimed to determine the significant relationship between motivational strategies and the mathematics performance of first-year college students during the first semester of the 2022–2023 academic year. A total of 330 first-year students were randomly selected from a population of 1,856. Data were collected using an adopted survey questionnaire, and analyzed using frequency counts, percentages, means, correlation, and regression analysis. Results revealed that the overall level of students’ motivational strategies was high, indicating that students consistently exerted enthusiastic effort driven by a strong desire to achieve personal and academic goals. The mathematics performance of the respondents was generally at a good level, suggesting that they possessed foundational knowledge and skills, requiring minimal assistance from teachers or peers. Correlation analysis showed a very high and significant relationship between motivational strategies and mathematics performance, indicating that students with higher motivation tend to perform better in mathematics. Furthermore, regression analysis identified Implication, Self-Reinforcing, Applicability, and Positive Association as significant predictors of mathematics performance, collectively explaining 75.6% of the variance. These findings imply that strengthening these specific motivational strategies may lead to improved academic outcomes in mathematics among college students.

Authors

Publication Details

Journal
Asian Journal of Education and Social Studies
Published
2025-05-02
DOI
https://doi.org/10.9734/ajess/2025/v51i51929
Primary Topic
Mathematics Education and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relationship between Motivational Strategies and Mathematics Performance among First-year Students at A State College in the Davao Region

Aldwin T. Miranda, Mark Anthony G. Baclay, Cristina Dominie Merie M. Cortado, Vanessa Angelica D. Acosta
Asian Journal of Education and Social Studies
Mathematics Education and Pedagogy
article

Relationship between Motivational Strategies and Mathematics Performance among First-year Students at A State College in the Davao Region

Aldwin T. Miranda, Mark Anthony G. Baclay, Cristina Dominie Merie M. Cortado, Vanessa Angelica D. Acosta
article en

Abstract

This descriptive-correlational study aimed to determine the significant relationship between motivational strategies and the mathematics performance of first-year college students during the first semester of the 2022–2023 academic year. A total of 330 first-year students were randomly selected from a population of 1,856. Data were collected using an adopted survey questionnaire, and analyzed using frequency counts, percentages, means, correlation, and regression analysis. Results revealed that the overall level of students’ motivational strategies was high, indicating that students consistently exerted enthusiastic effort driven by a strong desire to achieve personal and academic goals. The mathematics performance of the respondents was generally at a good level, suggesting that they possessed foundational knowledge and skills, requiring minimal assistance from teachers or peers. Correlation analysis showed a very high and significant relationship between motivational strategies and mathematics performance, indicating that students with higher motivation tend to perform better in mathematics. Furthermore, regression analysis identified Implication, Self-Reinforcing, Applicability, and Positive Association as significant predictors of mathematics performance, collectively explaining 75.6% of the variance. These findings imply that strengthening these specific motivational strategies may lead to improved academic outcomes in mathematics among college students.

Asian Journal of Education and Social StudiesVol. 51(5)
Openalex Percentile: Top 86%
Mathematics Education and Pedagogy
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.