Open AccessInterest in Environmental Issues as a Determinant of Science Literacy: A Multinational Review with Artificial Neural Network Analysis
Author(s) -
Umut Birkan Özkan
Publication year - 2021
Publication title -
forum for international research in education
Language(s) - English
Resource type - Journals
ISSN - 2326-3873
DOI - 10.32865/fire202171232
Subject(s) - scientific literacy , literacy , multinational corporation , artificial neural network , relevance (law) , regression analysis , perspective (graphical) , mathematics education , test (biology) , psychology , computer science , artificial intelligence , science education , machine learning , pedagogy , ecology , political science , law , biology
This study aims to analyze from a multinational perspective, whether interest in environmental issues is a determining factor on science literacy, using PISA-2018 data. In this study, where one of the quantitative research models; relational survey model was used, the secondary data obtained from the PISA-2018 evaluation were analyzed. The data of 98306 students at the age of 15 in 15 different countries were used. In the analysis of the data obtained, t-test, multiple regression analysis, and artificial neural network analysis were used. According to the results of the analysis, significant differences were found between the science literacy scores of the students who were very interested in the environmental issues in their country and those who were not interested at all. Similarly, significant differences were found between the science literacy scores of students who were very interested in environmental issues in other countries and those who were not interested at all. In addition, it can be stated that the students' relevance to environmental problems are factors that statistically predict students' science literacy in a significant way. Based on the results of the study, suggestions were made.