Problem-solving ability using mathematical modeling strategy on model eliciting activities based on mathematics self-concept

Abstract

The purpose of this study is to test the effectiveness of problem-solving skills using mathematical modeling strategy on MEAs and to describe problem-solving skills based on the mathematics self-concept. This research uses a quantitative method followed by descriptive with research variables are problem-solving ability and mathematics self-concept. Data collection techniques used in this study are documentation, tests, questionnaires, and interviews, then processed with a classical completeness test, t-test, proportion test, and linear regression test. We find that the ability of problem-solving with mathematical modeling strategy on Model Eliciting Activities achieved completeness. The ability to solve problems with mathematical modeling strategies on Model Eliciting Activities is better than conventional learning models. Student’s mathematics self-concept has a positive effect on problem-solving ability by 31.2%. There are two subjects with high mathematics self-concept categories have high and low problem-solving skills, and two subjects with medium and low mathematics self-concept groups have medium and low problem-solving skills.