Evaluating Student Computational Thinking Skills in Physics Experimental Class

Learning physics during the pandemic has encountered obstacles, especially in the implementation of experimental activities. Teachers have difficulty making innovation of learning because of the limitation of students' experiments facilities. This study aims to evaluate student computational thinking skills after using Problem-Based Learning models with Problem Solving Laboratory-based worksheet that utilizes simple physics experiments using smartphones. This study uses a quasi-experimental design with two experimental classes: A model class, an experimental class, and one control class. Ninety subjects are consisting of 26 male and 64 female students participated in this study. Data were collected digitally using the google form consisting of questions set of computational thinking skills and a questionnaire of student responses. Data were analyzed using descriptive and inferential statistics in the form of Analysis Covariant. The results proved that there is a difference in the ability for each class. The most increasing of student ability has happened in the experimental class. This study concludes that Learning media has more influence than learning models. These results are expected to trigger similar research to overcome practical problems during the COVID-19 pandemic. © 2022 Association for Computing Machinery. All rights reserved.