Open AccessTrain the computational thinking skill using problem-based learning worksheet for undergraduate physics student in computational physics courses
Author(s) -
Dewi Muliyati,
A. S. Tanmalaka,
Diah Ambarwulan,
Dita Zahra Kirana,
Handjoko Permana
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 - 10.1088/1742-6596/1521/2/022024
Subject(s) - computational thinking , worksheet , mathematics education , abstraction , computer science , syllabus , problem based learning , creative thinking , creative problem solving , curriculum , artificial intelligence , creativity , pedagogy , mathematics , psychology , social psychology , philosophy , epistemology
Thinking steps of computational thinking skills have an essential role in forming creative thinking to find ideas in a structured manner. Not only developing creative thinking, but this stage also helps understand how to implement ideas into computational procedures. This study aims to design worksheets for helping the students understand and improve Computational Thinking Skill (CTS) in the material interpolation with the problem based learning (PBL) strategy. The development of worksheets using step: define, design, development, and disseminate. The development stage includes the evaluation from learning expert. In many studies, the application of PBL shows an increase in various student abilities. This research applied to 39 students of computational physics courses. The result shows there was an increase in CTS, such as abstraction from the complex problem, algorithm automation, data analysis, collection, and representation.