Exploring the Influence of Self-Efficacy on Mathematical Modeling Ability Middle School Students in Landak Regency, West Kalimantan
Exploring the Influence of Self-Efficacy on Mathematical Modeling Ability Middle School Students in Landak Regency, West Kalimantan

Summary/Abstract: Background/purpose. Self-efficacy plays a crucial role in enhancing performance in complex tasks such as mathematical modeling, yet its impact remains underexplored. This study examines whether there are influences on students' self-efficacy in modeling. Materials/methods. The research method employs a quantitative design, utilizing regression analysis. This study involved all eighthgrade students in Landak Regency, West Kalimantan. The sample consisted of 133 students from three randomly selected schools, which were chosen from 18 A-accredited schools. The research instruments consisted of the Mathematical Modeling Test and the Self-Efficacy Questionnaire. Instrument valid using Aiken's V method, with 0.83 (𝑉 ≥ 0,4). All 133 students have to complete two instruments. Scores from both instruments are classified into low, medium, and high categories. A simple linear regression analysis is utilized to examine the hypothesis: “Is there any impact of the selfefficacy (𝑋) against the ability in mathematics modeling (𝑌)?”. Applying SPSS v.26, the regression prerequisite test was met. Results. The results of relationship between the capabilities of selfefficacy students and the ability students in mathematical modeling (Sig. = 0.000 < 0.05), with a regression equation Y = −22.150 + 1.213X, that shows every 1-point increase in self-efficacy is predicted to increase mathematical modeling ability by 1.213 points, obtained by 26.7% of the variance in students’ mathematical modeling ability can be explained by their level of self-efficacy. The results analysis shows that students with high self-efficacy successfully completed all modeling phases, whilst low self-efficacy students demonstrated difficulties in formula application and accurate calculations. Conclusion. These results emphasized the importance of strengthening self-efficacy to enhance mathematical modeling ability.

• Details
• Contents