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ANALYZING COMPUTATIONAL THINKING SKILLS USING THE RASCH MODEL ABOUT LEARNING ENVIRONMENT AND GENDER Fuadi, Muhammad Ashar
Journal of Teaching and Learning Physics Vol 10, No 1 (2025): Journal of Teaching and Learning Physics (February 2025)
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/jotalp.v10i1.44108

Abstract

This research analyzes Computational Thinking abilities using the Rasch model in Futuhiyyah High School students regarding sound waves regarding the learning environment and gender. This type of mixed methods research uses a concurrent embedded design. Data were analyzed using Wright maps and different measures assisted by Minister software. The Computational Thinking ability profile of the class: Only 7 out of 27 students had very high abilities. They exceeded the measured value of the decomposition indicator question which was the most difficult question, namely 4.46. Students' Computational Thinking abilities in terms of the learning environment, 18.52% of students in boarding schools and 7.41% of non-cottage students were able to solve very difficult questions, namely decomposition indicators and algorithmic thinking by exceeding the respective indicator's measure values of 4.10 and 4. 46. Students' Computational Thinking ability in terms of gender, 7.41% of male students and 18.52% of female students were able to solve very difficult questions, namely indicators of decomposition and algorithmic thinking. The results of the different measures, boarding school students were higher in answering questions on indicators of abstraction, generalization, and decomposition, while non-residential students focused on evaluation indicators and algorithmic thinking. Male students were higher in answering questions on the indicators of abstraction, generalization, and algorithmic thinking, while female students were higher on the indicators of evaluation and algorithmic thinking.
Rekonstruksi Pembelajaran Fisika Menggunakan Pendekatan Konstruktivisme Sebagai Implementasi Revolusi Sains Thomas Kuhn Fuadi, Muhammad Ashar; Shaunata, Via Amalia
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 1 (2025): February
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14649557

Abstract

Thomas Samuel Kuhn is a physicist as well as a philosopher who contributed a lot of his thoughts in the development of science. His biggest contribution to the development of science is the Scientific Revolution, which is the drastic change that has taken place in the development of science. This research focuses on teaching physics, especially in the constructivism approach. The Constructivism approach itself is one type of approach that is able to ignite the critical spirit of students. The purpose of this research is to build students' critical thinking in Physics Learning using the Constructivism Approach as a form of implementation of the Science Revolution that has been proclaimed by Thomas Kuhn. The method or approach used in this research is a qualitative approach, which is an approach oriented to the theoretical values of an event. While the nature of this research is descriptive-analytic, which is a method used to provide an accurate picture of something that is happening in society. The results of this study indicate that in learning Physics, students are able to think critically by using the Constructivism Approach. The critical spirit of students can be seen by the activeness of students in discussions.
ANALYZING COMPUTATIONAL THINKING SKILLS USING THE RASCH MODEL ABOUT LEARNING ENVIRONMENT AND GENDER Fuadi, Muhammad Ashar
Journal of Teaching and Learning Physics Vol. 10 No. 1 (2025): Journal of Teaching and Learning Physics (February 2025)
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/jotalp.v10i1.44108

Abstract

This research analyzes Computational Thinking abilities using the Rasch model in Futuhiyyah High School students regarding sound waves regarding the learning environment and gender. This type of mixed methods research uses a concurrent embedded design. Data were analyzed using Wright maps and different measures assisted by Minister software. The Computational Thinking ability profile of the class: Only 7 out of 27 students had very high abilities. They exceeded the measured value of the decomposition indicator question which was the most difficult question, namely 4.46. Students' Computational Thinking abilities in terms of the learning environment, 18.52% of students in boarding schools and 7.41% of non-cottage students were able to solve very difficult questions, namely decomposition indicators and algorithmic thinking by exceeding the respective indicator's measure values of 4.10 and 4. 46. Students' Computational Thinking ability in terms of gender, 7.41% of male students and 18.52% of female students were able to solve very difficult questions, namely indicators of decomposition and algorithmic thinking. The results of the different measures, boarding school students were higher in answering questions on indicators of abstraction, generalization, and decomposition, while non-residential students focused on evaluation indicators and algorithmic thinking. Male students were higher in answering questions on the indicators of abstraction, generalization, and algorithmic thinking, while female students were higher on the indicators of evaluation and algorithmic thinking.