The use of Information and Communications Technologies (ICT) in educational systems has
become a policy priority over the last decades. However, empirical evidence is inconclusive …

Students from disadvantaged socioeconomic backgrounds generally have worse academic
outcomes than their more advantaged peers. However, some resilient students beat the …

With the rapid growth of education data in large-scale assessment, machine learning
techniques are crucial to the interdisciplinary development of education and information …

Based on self-regulated learning theory, this study explored the key student-level factors that
influence students' reading literacy among high-performing countries and economies in the …

Students' digital reading literacy has attracted increasing attention in the current digital era;
however, few studies have been conducted to explore how factors at different levels …

The current study analysed the relationships between socio-economic status, migration
background, and non-cognitive factors and PISA reading and mathematics achievement …

The purpose of the study was to investigate how student and teacher-related non-cognitive
variables were important factors on the reading performances of Turkish students in PISA …

The purpose of this study was to evaluate the distribution of students with varying levels of
reading competence according to their selection of metacognitive methods from the 2018 …

This study applied a three-step latent class analysis (LCA) approach to explore latent
classes of learning strategy use and their moderation effects on the relationships between …

The Program for International Student Assessment (PISA) is a large-scale assessment of 15-
year-old students' achievements in three broad areas: Reading, science, and mathematics …