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Issa W. AlHmoud; Samin Poudel; Sulochana Deshmukh; Caroline S. Booth; Greg Monty; Marwan Bikdash – Discover Education, 2024
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…
Descriptors: STEM Education, Models, Educational Attainment, Predictor Variables
Kirsty Wilding; Megan Wright; Sophie von Stumm – Educational Psychology Review, 2024
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…
Descriptors: Genetics, Heredity, Educational Attainment, Predictor Variables
N. H. Douma; M. J. Warrens; E. Fleur; M. A. Dijks; H. Korpershoek – British Educational Research Journal, 2025
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…
Descriptors: Standardized Tests, Exit Examinations, Educational Attainment, Predictor Variables
Alexandra Starr; Zainab F. Haider; Sophie von Stumm – Developmental Psychology, 2024
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…
Descriptors: Foreign Countries, Young Adults, Outcomes of Education, Educational Attainment
Emily J. Barnes – ProQuest LLC, 2024
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,…
Descriptors: Artificial Intelligence, Higher Education, Models, Prediction
Timothy M. Smith – ProQuest LLC, 2024
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…
Descriptors: Leadership Styles, Teacher Attitudes, Principals, Teaching Experience
Ioannis Katsantonis; Ryan Alberto Gibbons; Jennifer E. Symonds; Niall Costello – British Educational Research Journal, 2024
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,…
Descriptors: Adolescents, Compulsory Education, Academic Persistence, Educational Attainment
Demir, Fatima Betül; Öteles, Ülkü Ulukaya; Koçoglu, Erol – Educational Research and Reviews, 2023
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…
Descriptors: Addictive Behavior, Digital Literacy, Foreign Countries, Predictor Variables
Jovonne A. Delgado – ProQuest LLC, 2024
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,…
Descriptors: Leadership Styles, Satisfaction, Gender Differences, Age Differences
Rachel L. Moseley; Darren Hedley; Julie M. Gamble-Turner; Mirko Uljarevic; Simon M. Bury; Grant S. Shields; Julian N. Trollor; Mark A. Stokes; George M. Slavich – Autism: The International Journal of Research and Practice, 2025
Despite very high rates of suicidal thoughts and behaviors (STB) in autistic adults, the key psychosocial drivers of this phenomenon remain unknown. To investigate, we examined how lifetime stressor exposure and severity, which have been found to predict STB in non-autistic populations, related to STB in a multinational dataset of 226 autistic…
Descriptors: Autism Spectrum Disorders, Adults, Stress Variables, Suicide
Lleras-Muney, Adriana – National Bureau of Economic Research, 2022
Education and income are strong predictors of health and longevity. In the last 20 years many efforts have been made to understand if these relationships are causal and what the possible role of policy should be as a result. The evidence from various studies is ambiguous: the effects of education and income policies on health are heterogeneous and…
Descriptors: Educational Attainment, Income, Predictor Variables, Health
Yu Zhou; Shuhan Jiang; Yong Jiang – Early Education and Development, 2024
Research Findings: The current study explored the average levels, latent profiles, and predictors of preschoolers' cultural cognition, in a sample of 8774 preschoolers' parents in Shanghai, China. Parents with children aged 3-6 years completed measures of "Cultural Cognition Scale for Preschoolers" (CCSP) which was newly developed and…
Descriptors: Foreign Countries, Preschool Children, Cultural Awareness, Predictor Variables
Yamashita, Takashi; Smith, Thomas J. – AERA Online Paper Repository, 2021
Assessment of Motivation to learn (MtL) is challenging in the diverse populations. Commonly used method (i.e., exact invariance test) may not be suitable for companions of many subgroups. This study employed an alignment optimization method (a.k.a., approximate invariance test) and data of the working age (25-65 years old) U.S. adults (n = 5,509)…
Descriptors: Adults, Learning Motivation, Literacy, Educational Attainment
Kelly Meadows; Kellie Rine; Sandy K. Bowen – Early Childhood Education Journal, 2025
The importance of early literacy skills is well established in previous studies; reading abilities and academic success in later grades depend on the foundational early literacy skills developed in preschools. However, little is known about preschool teachers' understanding of the impact of speech sound disorder (SSD) on early literacy skills.…
Descriptors: Preschool Teachers, Emergent Literacy, Speech Impairments, Phonology
Ana Daniela Ortega-Ramírez; Efrén Murillo-Zamora; Benjamín Trujillo-Hernández; Karla Berenice Carrazco-Peña; Carmen Alicia Sánchez-Ramírez – Early Child Development and Care, 2024
This study aimed to identify whether appetitive traits predict exclusive breastfeeding (EBF) duration for the first 6 months of life and to assess other predictors of its duration. 186 six- month-old term infants were included. Appetitive traits were assessed at 3-4 months of age. EBF duration, feeding practices, sex, maternal age and education,…
Descriptors: Infants, Nutrition, Predictor Variables, Age Differences