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…

This study examines the data of students from the United States (n = 2,592) who participated in the 2018 Programme for International Student Assessment (PISA). The purpose of this study is to probe the relationship between students' use of information and communication technologies (ICT) and their academic performance in mathematics and science.…

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…

Students' information and communication technology (ICT) skills have been shown to be a valuable resource for their educational performance, although to varying degrees across countries. Our paper adds to existing knowledge to understand how and why country-specific ICT characteristics make a difference to math performance benefits students glean…

In this study, 15-year-old Turkish students' profiles of using ICT at home and at school were identified, and the extent to which these profiles were associated with their academic achievement was determined. Moreover, the study investigated the effects of the students' age of first usage of digital device and internet, their gender and their…

The COVID-19 pandemic crisis has exposed the glaring inequities in school systems -- from the broadband and computers needed for online education to training teachers to keep classes going digitally. Most education systems were nimble: they rethought the curriculum, embraced hybrid learning, adjusted school calendars and schedules, and adapted…

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…

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…

Large-scale international studies offer researchers a rich source of data to examine the relationship among variables. Machine learning embodies a range of flexible statistical procedures to identify key indicators of a response variable among a collection of hundreds or even thousands of potential predictor variables. Among these, penalized…

The present study examined how access to home and school IT resources impacted student mathematics achievement. Data comprised 144,395 secondary school students from 7,308 schools in 22 developed economies who participated in the Programme for International Student Assessment (PISA) 2012. Results of hierarchical linear modelling showed that after…

This volume of PISA examines the readiness of students to engage with learning strategies, to be motivated to learn and to be confident in their abilities and in their capacity to improve their skills and knowledge. Countries like Korea have reduced mathematics anxiety, Portugal excels in critical thinking, and more low-performing students in…

Recent increases in high school graduation rates have been linked anecdotally to online course-taking for credit recovery. Online course-taking that supports high school completion could open opportunities for postsecondary education pursuits. Alternatively, poorer quality online instruction could diminish student learning and discourage…

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…

This report presents the conceptual foundations of the OECD Programme for International Student Assessment (PISA), now in its seventh cycle of comprehensive and rigorous international surveys of student knowledge, skills and well-being. Like previous cycles, the 2018 assessment covered reading, mathematics and science, with the major focus this…