On average, deaf and hard-of-hearing (DHH) children have difficulty developing expressive spoken vocabulary comparable to hearing peers. Yet, there are no evidence-based practices to guide classroom instruction for teachers of the deaf. Retrieval practice--a robust learning strategy--has been shown to improve children's retention of vocabulary,…

Background: Life satisfaction is a key component of students' subjective well-being due to its impact on academic achievement and lifelong health. Although previous studies have investigated life satisfaction through different lenses, few of them employed machine learning (ML) approaches. Objective: Using ML algorithms, the current study predicts…

Studies on learning strategies across cultures in higher education inform the internationalisation of teaching and learning. Previous comparisons relied on geographical generalisations (e.g., "Asian", "Western", "Latin-American") or only variable-centred methods, which can overgeneralise the contexts they represent.…

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,…

Within the discipline of school psychology, social justice is a fundamental concept and an aspiration of practitioners. Recently, a myriad of pleas has been made for school psychologists to act as agents of social justice change. Further, bullying, which is a prevalent issue in schools, has been identified as a school-based social justice…

Suspension and expulsion have been documented concerns in childcare centers throughout the United States for nearly 20 years. This study examined suspension and expulsion practices in community childcare centers two years into the COVID-19 pandemic (May 2022). Survey data from 131 administrators of community childcare programs were analyzed. It…

Marginal maximum likelihood, a common estimation method for item response theory models, is not inherently a Bayesian procedure. However, due to estimation difficulties, Bayesian priors are often applied to the likelihood when estimating 3PL models, especially with small samples. Little focus has been placed on choosing the priors for marginal…

Successful entrance into specialty training represents a pivotal stage in the careers of medical officers. Selection for entrance into specialty training programs may encompass criteria including research experience, regional exposure, clinical experience, professional achievements, diversity, equity and inclusion factors, and extracurricular…

Mentorship is a valuable component of the growth of junior faculty, but mentorship and the mentorship network in the broadly defined agricultural education discipline is not well understood. This study describes junior faculty mentees in the discipline and their mentors, as well as the mentorship interactions, including the social network of…

Researchers from multiple disciplines have found that fractions and algebra knowledge are linked. One major strand of research has identified children's "units coordination" structures as crucial for success with fractions and algebra via multiplicative reasoning, whereas a second strand of research points to "magnitude…

Researchers from multiple disciplines have found that fractions and algebra knowledge are linked. One major strand of research has identified children's "units coordination" structures as crucial for success with fractions and algebra via multiplicative reasoning, whereas a second strand of research points to "magnitude…

The number of clinical prediction models sharing the same prediction task has increased in the medical literature. However, evidence synthesis methodologies that use the results of these prediction models have not been sufficiently studied, particularly in the context of meta-analysis settings where only summary statistics are available. In…

School dropout is a devastating problem leading to negative consequences not only for individuals but also society. Therefore, numerous preventive measures and interventions have been implemented, but the expected outcomes have not been obtained despite vigorous efforts. This may indicate that the dropout process is complicated and not limited to…

This study aimed to investigate the predictive roles of gender and self-efficacy (academic, social, and emotional) on the academic resilience of adolescents. Participants consisted of 346 adolescents (227 girls and 119 boys). Data were collected through the Academic Resilience Scale, the Self-efficacy Scale for Children, and a demographic…

The study examined the relationship between democratic, authoritarian, and protective-demanding parental attitudes, obsessive-compulsive disorder (OCD), and Instagram addiction. It is based on the correlational research design in which the structural relationships between the variables were used. The study was carried out on 421 university…