JIPF (Jurnal Ilmu Pendidikan Fisika)
Vol 8, No 1 (2023): January 2023

Problem-Solving and Computational Thinking Practices: Lesson Learned from The Implementation of ExPRession Model

Natalya Limbong (Universitas Lampung)
Kartini Herlina (Universitas Lampung)
Hervin Maulina (Universitas Lampung)
Abdurrahman Abdurrahman (Universitas Lampung)



Article Info

Publish Date
24 Jan 2023

Abstract

Computational thinking ability is one of today's problem-solving methods that can be applied in physics learning. However, it is not yet known by most teachers so it has not been applied optimally in learning activities. This study aims to identify students' problem-solving and computational thinking abilities in solving well-structure physics problems. The subject of this study was the eleven grade majoring in natural science of SMAN 1 Bangunrejo. This type of research is descriptive research. The data used to analyze the students' problem-solving and computational thinking abilities were obtained from the essay test. Based on the results of descriptive analysis, it can be concluded that there is a relationship between students' problem-solving abilities and students' computational thinking abilities. In making a useful description, abstraction and decomposition abilities are needed, while to determine the physics approach and specific application of physics, generalization abiliy are needed. In solving mathematical procedures, algorithm ability are needed and to find out logical progressions, debugging ability are needed.

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Journal Info

Abbrev

JIPF

Publisher

Subject

Education Physics

Description

Jurnal Ilmu Pendidikan Fisika or abbreviated JIPF (e-ISSN: 2477-8451 and p-ISSN 2477-5959) is an international and integrated forum for communicating scientific advances in the field of physics and physics education. The journal reports significant new findings related to physics and education ...