Dimensions of Academic Buoyancy Contributing to Mathematical Competency among Freshmen University Students

The study assessed the extent of manifestation of academic buoyancy of students in the course Mathematics in the Modern World. Descriptive-correlational research design was utilized in describing academic buoyancy and mathematical competency. The respondents of this study were a total of 732 composed of 368 college students from public state universities and colleges plus 364 from private colleges in Oriental Mindoro. This study used survey questionnaires as the main tool in data gathering. Descriptive statistics such as weighted mean, standard deviation and a four-point rating scale were employed in treating the data gathered. Regression was used in determining how dimensions of academic buoyancy that predict mathematical competency. Regression analysis revealed that academic buoyancy variables such as commitment, composure, coordination, and confidence were all significant predictors of mathematical competency. Among them, commitment showed the strongest predictive value.

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Publication Details

Journal
Perspectives in Sustainable Development Studies
Published
2025-11-17
DOI
https://doi.org/10.65401/640888
Primary Topic
Mathematics Education and Pedagogy
Type
article
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article

Dimensions of Academic Buoyancy Contributing to Mathematical Competency among Freshmen University Students

M.C. Fernando Bernal Reyes
Perspectives in Sustainable Development Studies
Mathematics Education and Pedagogy
article

Dimensions of Academic Buoyancy Contributing to Mathematical Competency among Freshmen University Students

M.C. Fernando Bernal Reyes
article en

Abstract

The study assessed the extent of manifestation of academic buoyancy of students in the course Mathematics in the Modern World. Descriptive-correlational research design was utilized in describing academic buoyancy and mathematical competency. The respondents of this study were a total of 732 composed of 368 college students from public state universities and colleges plus 364 from private colleges in Oriental Mindoro. This study used survey questionnaires as the main tool in data gathering. Descriptive statistics such as weighted mean, standard deviation and a four-point rating scale were employed in treating the data gathered. Regression was used in determining how dimensions of academic buoyancy that predict mathematical competency. Regression analysis revealed that academic buoyancy variables such as commitment, composure, coordination, and confidence were all significant predictors of mathematical competency. Among them, commitment showed the strongest predictive value.

Perspectives in Sustainable Development StudiesVol. 1(1)
Openalex Percentile: Top 53%
Mathematics Education and Pedagogy
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