The Analysis of Implementation Project-Based Learning Model of Teaching Integrated with Computer Programming in Improving Computational Thinking Skills in a Classical Mechanics Course
DOI:
10.29303/jppipa.v8i4.1789Published:
2022-10-31Issue:
Vol. 8 No. 4 (2022): OctoberKeywords:
Project-based learning, Computer Programming, Computational thinking skills, Classical mechanicsResearch Articles
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Abstract
This research aims to explore student computational thinking skills in implementing a project-based learning model of teaching integrated with computer programming in classical mechanics course in projectile motion topic. The research design uses one group pretest and post-test design. The computational thinking skills have five indicators: abstraction, generalization, decomposition, algorithm, and debugging. The computational thinking indicator was analyzed from the result of Pretest and post-test scores and a comparison between manual solution and numerical solution from computer programming. The instruments used in this study were tasks, rubrics, and questionnaires. Â The result shows the average score of the Pretest is 53.05, and the post-test score is 80.22. The student computational thinking skills in algorithm and debugging in Pretest are 29.70% and 24.30% and 59.00%, and 54.00% in the post-test stage. This result indicates the implementation of PBL model of Teaching integrated with computer programming has a significant impact on student computational thinking skills
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Author Biographies
Zainur Rasyid Ridlo, University of Jember
Supeno Supeno, University of Jember
Sri Wahyuni, University of Jember
I Ketut Mahardika, University of Jember
Iwan Wicaksono, University of Jember
Efrika Marsya Ulfa, University of Jember
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Copyright (c) 2022 Zainur Rasyid Ridlo, Supeno Supeno, Sri Wahyuni, Iwan Wicaksono, Efrika Marsya Ulfa
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