Open AccessEvaluating students logical thinking ability: TPACK model as a physics learning strategy to improve students logical thinking ability
Author(s) -
Ahmad Furqon Muzaky,
Widha Sunarno,
Harjana
Publication year - 2020
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 - 10.1088/1742-6596/1511/1/012027
Subject(s) - logical reasoning , mathematics education , test (biology) , critical thinking , logical data model , logical conjunction , proportional reasoning , probabilistic logic , analytical skill , computer science , psychology , artificial intelligence , paleontology , database , data modeling , biology , programming language
Physics has the character of logical thinking. The use of technology in physics learning encounters the problem. The purpose of this study is to evaluate students logical thinking ability and determine a physics learning strategy to improve students logical thinking ability. The subjects of this study were 81 Islamic boarding school students in Ponorogo. The research approach was used mix method. Instrument test research was used by giving Tests of Logical Thinking (TOLT) which developed by Tobin and Capie. Instrument test contains 10 questions that depict probabilistic reasoning, controlling variable, proportional reasoning, correlational reasoning, and combinatorial reasoning. The results show that the average students logical thinking ability occupies a level of concrete thinking with a score of 1,36. This finding describes the logical thinking ability was still being the lowest level. Therefore, alternative learning such as integrating with technology is necessary to improve the logical thinking ability of students. Integrating learning with technology can be done by TPACK model.