Open AccessAnalysis of students’ mathematical resilience ability on linear program material through blended learning
Author(s) -
Laelasari,
Darhim,
Prabawanto
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1321/3/032065
Subject(s) - resilience (materials science) , mathematics education , class (philosophy) , psychological resilience , population , sample (material) , psychology , reading (process) , computer science , artificial intelligence , social psychology , medicine , chemistry , physics , chromatography , political science , law , thermodynamics , environmental health
Resilience states an individual’s ability to survive and can adapt to stressful situations. The growth of mathematical resilience in each requires minimal intelligence at an average level; this is because mathematical resilience is closely related to the ability to understand and convey something through the right language, reading ability, and non-verbal communication. This study aims to analyze differences in learning outcomes between students who are lecturing using blended learning models and conventional, analyzing students’ mathematical resilience abilities both as a whole and based on high and low ability levels in the Linear Program subject. The population of this research activity includes fourth-semester students, Mathematics Education Study Program, Unswagati Cirebon Teaching Education Faculty 2017-2018 academic year. The sample of the study is class A and B of 46 students. The study design used a quasi-experimental type with a non-equivalent control group. The research design chosen was a static group comparison experimental design involving two groups. The results showed that the ability of mathematical resilience by using blended learning, both overall and upper and lower groups had a significant increase.