Disruptive events such as economic recessions, natural disasters, job loss, and divorce are highly prevalent among American families. These events can have a long-lasting impact when experienced during childhood, potentially altering academic achievement, socioemotional well-being, health and development, and later life socioeconomic status. Much…

The integration of educational data mining and deep neural networks, along with the adoption of the Apriori algorithm for generating association rules, focuses to resolve the problem of misdirection of students in the university, leading to their failure and dropout. This is reached through the development of an intelligent model that predicts the…

This study examined the direct and indirect relationships among resilience, its individual-level protective factors (i.e., courage and self-compassion), and its positive outcomes (i.e., prosocial behavior tendencies) in a sample of adolescents from low socioeconomic backgrounds in Türkiye (Turkey). Quantitative data were collected through surveys…

Students who perform well at school academically are more likely to complete Year 12 and experience smoother transitions from education to employment. However, disentangling the effects of prior academic achievement on later performance from other confounding factors, such as socioeconomic status, has proved difficult. This study uses data from…