Mathematical literacy is becoming increasingly important and needs to be developed. However, various factors can affect students with different mathematical literacy patterns. This study aims to investigate the effects of students' backgrounds, attitudes toward mathematics, and information and communication technology (ICT) familiarity on the…

This study aims to classify student profiles based on the type and frequency of Information and Communication Technologies (ICT) usage. Each profile exhibits homogeneous characteristics and heterogeneous characteristics compared to other groups. Additionally, the study investigates whether covariates at the school and student levels create…

Poor mathematics performance was generally reported from international assessments such as Programme for International Student Assessment (PISA) and Trends in International Mathematics and Science Study (TIMSS) among Malaysian students. Malaysia is ranked 52nd and 48th in the assessments for 2012 and 2018 respectively, while Singapore, Japan,…

The attitude towards ICT determines the amount of incentive for practicing with it, which may directly affect ICT literacy. So, students' attitude inter alia is one of the substantial building blocks of ICT literacy, which in turn is an important component of improved student achievement brought about by it. This paper is devoted to exploring the…

The aim of this study was to explore the differential relationships between students' science performance and their ICT availability, ICT use, and attitudes toward ICT based on the data from the Program for International Student Assessment (PISA) 2015 across the countries and regions including South/ Latin America, Europe, and Asia and Pacific.…

The primary aim of this study is to identify the characteristics of the students' profiles regarding information and communications technology (ICT) use and their relations to background, motivational factors, and academic achievement. A sample of 4,838 U.S. students from PISA 2018 data was used. Latent profile analysis on ICT use for different…

This study aims to investigate how Turkish students' involvement in information and communication technologies (ICT) predicts their math and science performance in the 2018 Programme for International Student Assessment (PISA) test. The research also tests demographic variables including socioeconomic status (SES) and gender as covariates. The…

In our age of big data and growing computational power, versatility in data analysis is important. This study presents a flexible way to combine statistics and machine learning for data analysis of a large-scale educational survey. The authors used statistical and machine learning methods to explore German students' attitudes towards information…

Information and communication technology (ICT) is key to educational development. This study explores the mechanism influencing the use of ICT on students' science literacy. We utilized two-level hierarchical linear models and structural equation models to analyze data collected from the 2015 Program for International Student Assessment (PISA) in…

This study aimed to determine the affective and socioeconomic variables significantly predicting achievement level of low- and high-achieving students. The data of 1323 low-achieving and 2022 high-achieving Turkish students participated in the PISA 2015 were used in the study. The data were analyzed by using binary logistic regression. The…

In the last two decades, the great technological advances sweeping society have made inroads into the educational sphere. The use of information and communication technology and social networks has opened up new possibilities for student learning, which require appropriate treatment by family and teachers. This quantitative study takes a new…

The current analysis aims to research the impact of ICT usage on students' achievement in the 2018 PISA assessment, specifically achievement in mathematics, science and reading scales. In this assessment, a total of 5,058 randomly selected students from 224 schools across Kosovo took part in the study. In addition, to the subscales assessing…

This paper explains the rationale for updating the OECD Programme for International Student Assessment (PISA) 2021 questionnaire on Information and Communication Technology (ICT) and shows how it covers policy topics of current relevance. After presenting key findings based on previous ICT-related PISA data, the paper provides a summary of the…

The main drive for this study is to look into potential predictors of educational achievement using OECD's original Pisa 2018 dataset. This paper explores (i) access to ICT, (ii) physical characteristics of learning environment at school, (iii) quality of teaching staff and educational material, (iv) student characteristics and learning climate,…

For the first time, PISA 2025 will assess foreign language skills on a global scale. This paper provides a framework for collecting policy and contextual information on foreign language learning from students, parents, teachers, school principals and government officials. The framework will be used to guide the PISA 2025 Foreign Language…