THE DEVELOPMENT OF A COMPUTATIONAL BASED LEARNING MODEL TO IMPROVE COMPUTATIONAL THINKING ABILITY IN PHYSICS LEARNING IN THE SENIOR HIGH SCHOOL

Abstract

The purpose of this research is to produce a valid Computational Based Learning (CBL) model to improve computational thinking skills. The research design that will be used is the design development of Research and Development Borg & Gall. The results of the validation of the Computational Based Learning (CBL) learning model were carried out by 3 validators with an average score of 90.25% with a very valid category. The results of computational thinking skills have also increased, as evidenced by students being able to identify and decide important things from the data information provided (Abstraction), combine existing physics concepts (Generalization), get formulations from combination results (Decomposition), use computer programs (applications) to represent in graphical form (Alghoritm), and find, identify and fix syntax errors (debugging). Then from the observations made, it was stated that the ability of students to experience a significant increase in scientific literacy and computational thinking after the implementation of the Computational Based Learning (CBL) learning model.