Background: Life satisfaction is a key component of students' subjective well-being due to its impact on academic achievement and lifelong health. Although previous studies have investigated life satisfaction through different lenses, few of them employed machine learning (ML) approaches. Objective: Using ML algorithms, the current study predicts…

This study examines the relationship between instructional quality and mathematics achievement, taking into account socioeconomic status. Data from ten European countries participating in PISA 2012 and 2022 were analysed using the framework of the Dynamic Modelling of Educational Effectiveness. In PISA 2012, instructional quality was defined by…

The issue of model uncertainty has been gaining interest in education and the social sciences community over the years, and the dominant methods for handling model uncertainty are based on Bayesian inference, particularly, Bayesian model averaging. However, Bayesian model averaging assumes that the true data-generating model is within the…

The purpose of this study is to examine the effect of missing data imputation methods, namely regression imputation (RI), multiple imputation (MI) and k-nearest neighbor (kNN) on differential item functioning (DIF). In this regard, the datasets used in the research were created by deleting some of the data via the missing completely at random…

Brazil's education system lags behind international standards, with two-fifths of students scoring below the minimum level of proficiency in mathematics, science, and reading. Thus, this study combined machine learning with traditional statistics to identify the most important predictors and to interpret their effects on proficiency in the PISA…

The research aims to determine the factors affecting PISA 2018 reading skills using the Random Forest and MARS methods and to compare their prediction abilities. This study used the information from 5713 students, 2838 (49.7%) male and 2875 (50.3%) female, in the PISA 2018 Turkey. The analysis shows the MARS method performed better than the Random…

Although education is arguably one of the most central institutions in contemporary European societies, only recently scholars have started to study opinions that relate to the perceived legitimacy of education among the public at large. This paper contributes to this emerging literature. Based on data from the most recent wave of the European…

The purpose of this study is to examine the predictive effects of epistemological beliefs about science and informal reading of scientific texts on students' future-oriented optimism on the issue of climate change. Future-oriented climate change optimism is defined as encompassing "hope" and "anticipation" about the climate…

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…

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…

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 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…

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…

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…