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…

This study focused on the relationships between teacher characteristics and students' mathematics achievement in EU countries, including Hungary, Italy, Lithuania, Malta, Slovenia, Sweden, and Turkey, which are the only EU countries participated in TIMSS 2015 at the eighth-grade level. The data consisted of the sample of 31,969 eighth-grade…

Our research aims to predict students' academic performance by considering the variables affecting academic performance in science courses using the deep learning method from machine learning algorithms and to determine the importance of independent variables affecting students' academic performance in science courses. 445 students from 5th, 6th,…

The study aims to investigate how confidence in mathematics/science, amount of books in the home, gender, whether a student likes being in school, and computer software predicted mathematics and science achievements of students in the Trends in International Mathematics and Science Study (TIMSS) 2019. The sample of the study consisted of…

In this study, in line with TIMSS 2019 data, 8th grade students' school engagement in the Turkish education system and various variables in the field of science and mathematics, which are thought to be related to school engagement, were examined with the Random Forest method, a method amongst data mining methods. This research focuses on student…

This study aims to investigate how Turkish students' involvement in information and communication technologies (ICT) predicts their math and science performance in the 2018 Programme for International Student Assessment (PISA) test. The research also tests demographic variables including socioeconomic status (SES) and gender as covariates. The…

The purpose of the current study is to investigate middle school students' attitudes towards Science, Technology, Engineering, and Mathematics (STEM) education and to determine the predictors of these attitudes. The study was designed according to the relational survey model, one of the quantitative research designs. The sample of the study is…

In this study, the effects of some student (e.g., gender, bullying, etc.) and school variables (e.g., emphasis on academic achievement, clarity of teaching, etc.) on the TIMSS 2015 science and mathematics achievement of eighth grade students in Türkiye were examined by controlling for the socioeconomic status of the students at the student and…

This study focuses on the relationship between students' early academic skills and academic achievement. In this context, it is aimed to examine the predictors of students' early literacy and numeracy skills on their later math and science achievements across countries. A quantitative research approach using a correlational survey design was…

Current studies reveal that meta-level variables are very important in learning; however, little research has been devoted to the role of metaconceptual and meta-affective variables on student achievement. With the aim of filling this gap in the literature, the present study investigated the relationship between metavariables (metaconceptual…

This paper focuses on the potential benefits of integrating physics demonstrations as a mediator for learning the physics of sound, acoustics and psychoacoustics in an undergraduate audiology classroom. The participants of this study were 54 first-year audiology students enrolled in the Physics of Sound and Acoustics course. According to the…

The present study aims to determine which analysis technique-Artificial Neural Networks (ANNs) or Logistic Regression (LR) Analysis-is better at predicting the science literacy success of the 15-year Turkish students who participated in PISA research carried out in 2015 by using learning time spent on science, test anxiety, environmental…

Science, technology, engineering, and mathematics (STEM) education is an international focus in teaching and learning, and factors influencing students' science achievement vary throughout the world. Guided by the Social Role and Expectancy-Value Theories, we investigated the role of fourth and eighth graders' gender and attitudes toward science…

The purpose of this study was to identify the multilevel latent classes for reading, mathematics, and science success of the students, who participated in the Programme for International Student Assessment (PISA) 2012 from Turkey and to determine the predictive ability of: i) students' perseverance; ii) their openness to problem solving; iii)…

The aim of this research is to determine the predictive level of physics self-efficacy with regard to physics anxiety and the correlations between the physics anxiety and self-efficacy of pre-service teachers, also to examine whether physics anxiety and self-efficacy beliefs differ depending on pre-service teachers' achievement in physics and…