Open AccessMathematical problem solving based on Kolb’s learning style
Author(s) -
W. A. Rokhima,
Tri Atmojo Kusmayadi,
Laila Fitriana
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 - 10.1088/1742-6596/1306/1/012026
Subject(s) - nonprobability sampling , style (visual arts) , mathematics education , data presentation , presentation (obstetrics) , data collection , triangulation , psychology , subject (documents) , task (project management) , mathematical problem , computer science , mathematics , visual arts , engineering , population , medicine , art , statistics , geometry , environmental health , systems engineering , library science , radiology
Problem solving is essential in mathematics teaching and learning. Mathematical problem solving as finding a way around difficulty and solution to a problem that is unknown. Learning style can be used by students in processing information and can help students in learning. Kolb’s learning style characteristic examined include converger, diverger, accommodator and assimilator. The purpose of this study is to describe about mathematical problem solving based on Kolb learning style. This study used descriptive qualitative method. The subject of the study consisted 4 students of National Senior High School Pekalongan which selected using purposive sampling. The research instruments were questionnaire and problem solving task. Data validity used method triangulation. Data analyses were done through data collection, data reduction, data presentation and conclusion. The results show that students with converger and accomodator learning style are better than diverger and assimilator learning style in mathematical problem solving.