Mathematical problem-solving based on the Polya model to increase students’ Adversity Quotient during the covid-19 pandemic

The purpose of this study was to determine the impact of Polya model problem-solving and conventional problem-solving on students’ Adversity Quotient (AQ) on Math subjects. This study was conducted during the student learning conditions during the Covid-19 pandemic. This was a quasi-experimental research with non-equivalent pre-test and post-test control groups. In Indonesia, 38 students from Ibrahimy Situbondo High School’s class X took part in the study. Descriptive analysis approaches and inferential analysis with independent sample tests were employed to analyze the data. According to the descriptive analysis results obtained in the experimental class, students who utilized the issue solving Polya model had an average rise in grades of 3.39, whereas students in the control class who used conventional troubleshooting had an average gain in grades of 0.21. The paired test resulted in a sig value of pair 1 is 0.0350.05, which means pair 1 was a problem solving polya model that able to affect the increasing ability of AQ students. As for pair 2 was conventional problem solving which means by solving this problem can not affect the ability of AQ students. As the results of inferential analysis obtained significantly 0.569; it can be concluded that H0 was accepted and H1 was rejected because of the sig> value of α (0.569>0.05), then there was no difference in AQ which used polya model troubleshooting with conventional troubleshooting.