Data literacy of high school students on physics learning

Abstract

Data literacy is the ability to collect, understand, manipulate, and use data. Based on the viewpoint of cognitive skills, data literacy is related to the ability to collect, filter, select, analyse, interpret, critique, visualize, and communicate data. This ability is essential for students to have, especially in solving learning physics and everyday life problems. Data literacy is indispensable in the life of the modern world like today. Students who have good data literacy will understand and assess data critically, whether presented in tables, graphs, or charts. The purpose of this study is to determine the data literacy of high school students in physics learning. Data were collected through the measurement of data literacy using written tests. Measured data literacy included students' ability to collect, analyse, interpret, implement and evaluate data as well as assess data quality. The results show that high school students' data literacy in physics learning is still in the unsatisfactory category. Various efforts must be made so that data literacy for high school students can be develop, i.e., by implementing learning strategies and using appropriate learning resources. Another action that can be done is to apply a teaching model that follows the characteristics of 21st-century learning.