Background: Socioeconomic status (SES) and motivation are both important predictors of student achievement. However, most studies have investigated these factors separately, and very few have looked into the interplay between SES and motivation as determinants of student reading achievement. Aims: We intend to bridge this gap by examining a model…

This study examined the predictive power of students' demographic characteristics, reading attitudes, school characteristics, and teacher-informed reading activities on three metacognitive reading skills: understanding and remembering, summarizing, and assessing credibility and their influence on 15-year-old students' reading scores. The dataset…

We tested the broad generality of a model for predicting 9th-10th grade students' STEM career expectations by age 30, focusing on hard science, mathematics and engineering professions only, known for driving innovation, research and development. The model's predictors included "motivation to learn mathematics", "gender", and…

The Programme for International Student Assessment, carried out every three years by the Organization for Economic Co-operation and Development across a large number of countries and economies, have shown that socioeconomically disadvantaged students are almost three times more likely than advantaged students not to attain the baseline level of…

Background: Research has shown that teacher feedback is critical for student learning and well-being (Siegle & McCoach, 2007; Wisniewski et al., 2020). However, teachers often provide more positive feedback to students from high socioeconomic backgrounds than to those from low socioeconomic backgrounds (Rimm-Kaufman et al., 2000; Tobisch &…

The purpose of the present study was to examine whether parents' utility value perceptions predicted their children's utility value perceptions, demonstrating social contagion effects. We also examined whether utility value would predict achievement. This is a cross-sectional study that utilized data from a subsample of adolescent students from…

Covariates have been used in mixture IRT models to help explain why examinees are classed into different latent classes. Previous research has considered manifest variables as covariates in a mixture Rasch analysis for prediction of group membership. Latent covariates, however, are more likely to have higher correlations with the latent class…

The purpose of this study is to examine the characteristics of US schools associated with two measures of scientific literacy (content knowledge and "procedural and epistemic" knowledge) using the 2015 Programme for International Student Assessment (PISA) data. Because outcomes are nested within students, and students within schools, a…

This study investigated the ability of language teachers' practices to predict self-efficacy in reading among Jordanian students participating in PISA 2018. The study adopted the secondary analysis method by analyzing the responses of 8,963 15-year-old males and females in 313 schools who participated in PISA 2018. Statistically significant…

Although the gender gap in non-compulsory science attracts much attention, few studies compare factors that shape it at subsequent life stages. Here, a life-course approach is used to examine the gender gap in science career expectations at ages 16, 23 and 26 for a recent student cohort. Then, a decomposition is applied to assess what share of the…

Studies highlight that using appropriate strategies during problem solving is important to improve problem-solving skills and draw attention to the fact that using these skills is an important part of students' self-regulated learning ability. Studies on this matter view the self-regulated learning ability as key to improving problem-solving…

Non-cognitive characteristics of students in four Southeast Asian countries -- Indonesia, Malaysia, Thailand, and Viet Nam -- were reviewed based on the PISA 2009, 2012, and 2015 data. Overall, students in this region demonstrated similarities with respect to their non-cognitive dispositions such as learning habits, approaches to learning,…

Abstract The 2015 Programme for International Student Assessment (PISA) has drawn a substantial amount of attention from science educators and educational policymakers because it marked the first time that PISA assessed students' ability to evaluate and design scientific inquiry using computer-based simulations. We undertook a secondary analysis…

Based on Eccles' expectancy-value model of achievement motivation this study used questionnaires to explore the relationships between expectations, task values and A-level achievement in 930 students from 12 Oxfordshire schools. Understanding the relationship between these variables is important given the significance of these qualifications for…

Devaluing an academic domain is a potential means of alleviating the psychological discomfort that results from the inconsistency of a low domain-specific self-concept of ability and great value attached to the domain. Such motivated devaluation of a domain is expected to be stronger in cultural contexts that promote a relatively greater focus on…