The Predictive Role of Language Proficiency and Non-Cognitive Skills on Mathematical Competence among Maritime Students

Mathematical competence is a fundamental requirement in the maritime industry, as it supports essential functions such as navigation, vessel operations, safety management, and data-driven decision-making among maritime professionals. This study examined the predictive role of language proficiency and non-cognitive skills on the mathematical competence of maritime students at Capitol University in Cagayan de Oro City, Philippines. Using a causal research design, data were collected from 88 third-year maritime students using stratified random sampling and adapted research instruments. Data were collected through face-to-face administration, and prior to conducting the linear regression analysis, several critical assumptions were carefully examined. Descriptive statistics revealed that students demonstrated high levels of language proficiency, non-cognitive skills, with reading comprehension and social skills obtaining the highest mean scores. Also, mathematical competence was generally rated as high with applied maritime mathematical skills obtaining the highest mean score. However, only non-cognitive skills significantly predicted mathematical competence with academic behavior emerging as the only significant dimension. The findings highlight the critical role of behavioral and attitudinal factors in strengthening mathematical performance in maritime education and suggest that enhancing students’ study habits, engagement, and responsibility may be more impactful than focusing solely on language proficiency.