Using a longitudinal national educational dataset, data science methods were applied to explain students' educational trajectories and determine the most predictive variables in STEM degree attainment. Challenging the notion of the STEM pipeline, an Alternative Pathways to STEM (APS) model was proposed. Using a foundation of Social Cognitive…

Recent advances in genomics make it possible to predict individual differences in education from polygenic scores that are person-specific aggregates of inherited DNA differences. Here, we systematically reviewed and meta-analyzed the strength of these DNA-based predictions for educational attainment (e.g., years spent in full-time education) and…

Dutch secondary education is a multi-tiered system, and many students are placed in a single track in the first year (seventh grade) of secondary education. As part of the placement procedure, all sixth-grade students take an end of primary school test. Although these standardised attainment tests (SATs) are considered high-stakes tests, the…

The goal of this study was to identify the onset and magnitude of prediction of early cognition to adult socioeconomic outcomes. Specifically, we were interested in examining which cognitive skills measured at 15, 24, 36, and 54 months predict educational attainment and salary at age 26. Data (N = 1364, 52% male) included a diverse sample (76%…

This paper aims to analyze the structure of academic performance by investigating the influence of ascribed and achieved factors on student outcomes. Specifically, it explores the impact of gender, socioeconomic status of parents, parental education, type of high school attended, and level of study on academic success. Utilizing a longitudinal…

In putatively meritocratic societies, doing well in school is a pivotal precondition for accessing further and higher education, which, in turn, has a pervasive, long-term influence on adulthood development. Yet, doing well in school may also predict "real-life success" outside formal education settings and independent of the educational…

This quantitative study investigates the predictive power of machine learning (ML) models on degree completion among adult learners in higher education, emphasizing the enhancement of data-driven decision-making (DDDM). By analyzing three ML models - Random Forest, Gradient-Boosting machine (GBM), and CART Decision Tree - within a not-for-profit,…

In this study, it was aimed to examine the relationship between teachers' organizational commitment and career anxiety. A cross-sectional correlational design belonging to the relational survey model was used. A simple random sampling method was utilized to determine the sample. The sample consisted of 384 teachers. Personal Information Form,…

Since the 1970s, master's degrees represent the fastest growing degree in the United States (US). Accordingly, there is a need for greater understanding of the factors that have contributed to this sustained, upward trend. Guided by resource dependence theory, we conducted hierarchical multiple linear regression analyses to examine whether more…

Many teachers have become dissatisfied with their jobs, leaving their school district or the field of education to purse other careers outside of education. Recently, teacher attrition has been a problem for schools in Tennessee. The shortage of teachers in Tennessee led to the elimination of the Teacher Performance Assessment by the Tennessee…

There are few longitudinal studies of adolescent students' choice to persist in post-compulsory education. Hence, the present study introduces a longitudinal model that describes the interplay between sociological and psychological explanations of adolescents' choice to persist in post-compulsory education in the UK. Data on parental education,…

Internal state language (ISL) research contains knowledge gaps, including dimensionality and predictors of growth, addressed here in a two-aim study. Parent-reported expressive language from N = 6,373 monolingual, English-speaking toddlers (M[subscript age] = 23.5mos, 46% male, 57% white) was collected using cross-sectional and longitudinal data…

We evaluate impacts heterogeneity of an Early Childhood Intervention, with respect to the Educational Attainment Polygenic Score (EA4 PGS) constructed from DNA data based on GWAS weights from a European population. We find that the EA4 PGS is predictive of several measures of child development, mother's IQ and, to some extent, educational…

The concepts of digital obesity and digital literacy, which are interconnected in influencing human beings, can find their place in all areas of life with the virtualized life industry in the globalizing world. Having these competencies, awareness can be explained by the orientation process between these concepts and the individual. In this…

This quantitative study explored the relationship between perceived leadership behaviors and follower satisfaction, accounting for demographic variables like gender, age, education, and role. The research collected data from 234 faculty and staff members using three surveys. The demographic survey captured information on the follower's gender,…