The main purpose of this study was to explore major factors at student and teacher/school levels affecting middle-school students' science self-efficacy among countries with high science academic performance levels in PISA 2015 data by using various regression algorithms of machine learning and multilevel latent profile analysis (MLPA). Out of…

Teacher collaboration (TC) is an effective means of enhancing teachers' psychological factors towards their jobs. Yet research on the extent to which the personal and structural characteristics and their synergistic effects of collaboration on teachers' psychological factors remain ambiguous. This study examines the effects of TC on…

The importance of self-concept and the feeling of belonging to a school have been highlighted in numerous studies as predictors of school success. However, there are hardly any studies that link the relationship between self-concept and the feeling of belonging to the school. Thus, the aim of this study is to analyze the influence of personal and…

This study focuses on the effectiveness of two types of teaching practices (i.e., inquiry-based and teacher-directed) on students' science achievement, an ongoing contentious issue in science education. It examined the direct and indirect effects of the two types of teaching practices, enjoyment of science, and students' science achievement with…

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…

The purpose of the study was to investigate how student and teacher-related non-cognitive variables were important factors in the reading performances of Turkish students in PISA 2018. The results of the HLM analysis revealed that economic, social, and cultural status (ESCS) as a background variable was considered an effective predictor of student…

The education system strives to help students from low-income families achieve academic success. Academic resilience is related to not only individuals but also classrooms and schools. This study aimed to construct a comprehensive resilience model in science domains that presents the image of resilient students and describes the mechanisms by…

The aim of the present study was to examine the factor affecting reading performance of the students in a broad sense. The sample was comprised of a total of 752076 students who participated in PISA studies from OECD member countries during the years of 2000 (n = 159095), 2009 (n = 298454) and 2018 (n = 294527) in which reading literacy was the…

Filipino students ranked last in reading proficiency among all countries/territories in the PISA 2018, with only 19% meeting the minimum (Level 2) standard. It is imperative to understand the range of factors that contribute to low reading proficiency, specifically variables that can be the target of interventions to help students with poor…

Exploring the relationship between student ability and test-taking effort is an important area of study, offering insights into their approach to educational assessments. Previous research shows this relationship, yet there is a scarcity of research comparing the test-taking effort of students. In addition, researchers have frequently employed…

Students' socioeconomic status (SES) is central to much research and policy deliberation on educational inequalities. However, the SES model is under severe stress for several reasons. SES is an ill-defined concept, unlike parental education or family income. SES measures are frequently based on proxy reports from students; these are generally…

This research aims to examine the predictive relationship between the economic, social and cultural level index (ESCS) and academic achievement in the context of PISA 2018 Turkey sample. Research used secondary data analysis, a quantitative research method. In this regard, advanced analyzes were carried out in line with the new and different…

This study explores the factors influencing mathematics performance, teacher satisfaction, and school environment across six economies using data from PISA 2022. Employing hierarchical linear modeling, the research examines individual and institutional variables at the student, teacher, and school levels. Key findings reveal significant…

The study investigates the academic resilience of Swedish students, focusing on how school-level factors contribute to achievement differences between resilient and non-resilient students. Using data from PISA cycles from 2000 to 2015, the study employs propensity score matching and hierarchical linear modeling to examine the impact of individual,…

The purpose of the current study is to examine malleable school practices and norms that contribute to inequitable school learning environments based on student background. Using multilevel structural equation modeling (SEM) with the U.S. sample of PISA 2015, this study examines the extent to which student-level access to inquiry-based science…