In this study, we applied elastic-net logistic regression to explore critical predictors of students' mathematics and science levels using data from eighth-grade students in the 2019 Trends in International Mathematics and Science Study (TIMSS). The elastic-net approach, a machine learning based approach combining Ridge and Least Absolute…

At present, even if the education on hard-working spirit has been emphasized increasingly as an important part of practical education in China's education policy, the reality is still far from satisfactory, because many parents do not provide their children with sufficient opportunities to do housework. Previous studies have indicated that the…

Curriculum-based measurements (CBM) are used in schools to screen students for academic difficulties. Oral reading fluency curriculum-based measures (CBM-R) are the most popular, yet several studies have identified predictive bias in CBM-Rs in relation to key variables (e.g., race, sex). Despite a massive increase in the use of these measures as…

The purpose of the study is to analyze the affective traits that affect mathematics achievement through Structural Equation Modeling (SEM) as a traditional regression model and Multivariate Adaptive Regression Splines (MARS), as one of the data mining methods. Structural Equation Modeling, one of the regression-based methods, is quite popular for…

Overall interest in science has been argued to drive learner participation and engagement. However, there are other important aspects of interest such as breadth of interest within a science domain (e.g., biology, earth science). We demonstrate that intensity of science interest is separable from topic breadth using surveys from a sample of 600…

This quantitative study explained relationships among independent variables that included instrumental music participation and achievement on a standardized test by participants in the ninth grade at a western Wisconsin high school. The ACT "Aspire" (2017) test is a vertically articulated, standards-based system of assessments. Subtest…

Policies aiming to improve educational outcomes are typically based on academic testing data. However, such data only reflect the performance of students who completed the tests. It is possible that students who were absent have shared characteristics. The proportion of students absent out of all eligible school students and whether they have…

There is a shortage of studies that explore adolescents' academic procrastination. The author hence attempted to examine the mechanisms determining Taiwanese adolescent students' perfectionistic tendencies, time management, and academic procrastination. A total of 405 eighth-grade Taiwanese students completed a self-reported survey assessing their…

The purposes of this research are to identify and analyze the headmaster leadership and teacher competence in increasing student achievement in school. The research was at Private Islamic Junior High School in Serang, Banten, Indonesia. Researcher is using descriptive and inferential methods. The results of this research showed that there is…

This study, using a longitudinal design with a Swedish cohort of young readers, investigates if children's early word decoding ability in second grade can predict later academic performance. In an effort to estimate the unique effect of early word decoding (grade 2) with academic performance (grade 9), gender and non-verbal cognitive ability were…

Identification of children who exhibit emotional and behavioural difficulties (EBDs) has been prioritized in several countries in the Middle East and North Africa (MENA) region including Oman. Research showed that cognitive attribution processes are biased and defective in atypical populations such as students with learning disabilities (LD). The…

The profession of teaching is inherently stressful. Resilience, or the ability to adapt and develop competence despite exposure to disruptive change, has been shown to be beneficial for teachers. The purpose of this study was to determine if personal resilience is a predictor of professional development engagement and career satisfaction of…

Item response theory (IRT) models are the main psychometric approach for the development, evaluation, and refinement of multi-item instruments and scaling of latent traits, whereas multilevel models are the primary statistical method when considering the dependence between person responses when primary units (e.g., students) are nested within…

Purpose: The purpose of this paper is to develop a quantitative model of problem solving performance of students in the computer-based mathematics learning environment. Design/methodology/approach: Regularized logistic regression was used to create a quantitative model of problem solving performance of students that predicts whether students can…

The purpose of this study was to test possible interactions between mastery and performance goal structures in mathematics classrooms when predicting students' goal orientations. More specifically, we tested if the degree of performance goal structure moderated the associations between mastery goal structure and students' goal orientations.…