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Direct linkKirsty 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
Sajjad Farashi; Ensiyeh Jenabi; Saeid Bashirian; Afshin Fayyazi; Mohammad Rezaei; Katayoon Razjouyan – Review Journal of Autism and Developmental Disorders, 2025
People with autism spectrum disorder (ASD) show deficits in the processing of visual stimuli. This systematic review summarized the differences in visual event-related potential (ERP) components among ASD and typically developing individuals. Major databases were searched for finding eligible studies that investigated differences in visual ERP…
Descriptors: Autism Spectrum Disorders, Visual Stimuli, Emotional Intelligence, Familiarity
Vivian Chau; Valsamma Eapen; Erinn Hawkins; Jane Kohlhoff – Child & Youth Care Forum, 2025
Background: There is growing interest in research understanding the individual-specific predictors of child callous-unemotional (CU) traits, particularly in early childhood. Objective: This study reviewed evidence from studies that investigated the relationship between early child temperament factors (between 0 and 3 years) and CU traits in…
Descriptors: Children, Child Behavior, Student Behavior, Personality Traits
Rezwanul Parvez; Alysha Tarantino; Griffin Moores – Online Journal of Distance Learning Administration, 2024
Higher education institutions need to be responsible for understanding the characteristics and qualities of learners who decide to take courses with them; online vs. on-campus and what it takes to keep them learning at an institution. Taking heed and modifying structures, communications, and services will help learners and institutions in this…
Descriptors: College Students, Distance Education, Electronic Learning, School Holding Power
Download full textMichael J. Weiss; Howard S. Bloom; Kriti Singh – Grantee Submission, 2022
This article provides evidence about predictive relationships between features of community college interventions and their impacts on student progress. This evidence is based on analyses of student-level data from large-scale randomized trials of 39 (mostly) community college interventions. Specifically, the evidence consistently indicates that…
Descriptors: Community College Students, Intervention, Predictive Measurement, Randomized Controlled Trials
Abu Saa, Amjed; Al-Emran, Mostafa; Shaalan, Khaled – Technology, Knowledge and Learning, 2019
Predicting the students' performance has become a challenging task due to the increasing amount of data in educational systems. In keeping with this, identifying the factors affecting the students' performance in higher education, especially by using predictive data mining techniques, is still in short supply. This field of research is usually…
Descriptors: Performance Factors, Data Analysis, Higher Education, Academic Achievement
