KnE Social Sciences

ISSN: 2518-668X

The latest conference proceedings on humanities, arts and social sciences.

The Effect of Mathematical Disposition on Students' Mathematical Performance

Published date: Apr 26 2024

Journal Title: KnE Social Sciences

Issue title: International Conference on Mathematics and Science Education (ICMScE 2022): Learning Models and Teaching Approaches

Pages: 587–595

DOI: 10.18502/kss.v9i13.15962

Authors:

Wahyudin .wahyudin_mat@upi.eduDepartment of Mathematics Education, Faculty of Mathematics and Science Education, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi No. 229, Bandung 40154, Indonesia

Marzuki .Department of Mathematics Education, Institut Agama Islam Negeri Langsa, Jl. Meurandeh, Aceh 24354, Indonesia

Didi SuryadiDepartment of Mathematics Education, Faculty of Mathematics and Science Education, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi No. 229, Bandung 40154, Indonesia

Endang CahyaDepartment of Mathematics Education, Faculty of Mathematics and Science Education, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi No. 229, Bandung 40154, Indonesia

Aya Shofia MaulidaDepartment of Mathematics Education, Faculty of Mathematics and Science Education, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi No. 229, Bandung 40154, Indonesia

Abstract:

Mathematical disposition is a tendency to think and act in a positive way. Changes in learning activities due to Covid-19 have an impact on the learning environment. This study aims to obtain an overview between dispositions and mathematical performance in online learning, and the effect of disposition on the mathematical performance of high school students. This research is concerned with correlation and regression analysis that relates mathematical dispositions to mathematical performance on relation and function material. The research was conducted on 70 high school students from the city of Bandung. To analyze data related to correlation and regression, Pearson product-moment was used. The results of this study were as follows: 1) A significant positive correlation was observed between mathematical disposition scores (X), and mathematical performance scores (Y) with a correlation coefficient of r = 0.42, this means that r2 = 17.2%. The variation in students’ mathematical performance (Y) can be explained by the student’s mathematical disposition variable (X). 2) Based on the regression equation Y = 34.211 + 0.548X, this shows that because the X coefficient is 0.548 > 0 (positive) and significant, the mathematical disposition variable has a positive effect on mathematical performance in online learning.

Keywords: high school students, mathematical disposition, mathematical performance

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