The appraisal theories of emotions and existing studies have indicated the relationships between emotions and goals. However, little research has investigated the role of teachers' student-oriented goals for their emotions. This study examined how teachers' teaching-related emotions relate to their student-oriented goals directly or indirectly…

Building off seminal works on community including McMillan and Chavis, Lave and Wenger, Graves, and Wenger et al, the Institutional, Program, and Professional (IPP) community framework for online allows students, faculty, administrators, and alumni the opportunity to consider how to support community beyond online courses into programs, the…

The purpose of this quantitative correlational-predictive study was to assess if and to what extent the Big Five Personality Traits (Openness, Conscientiousness, Extroversion, Agreeableness, and Neuroticism), individually and combined, predict Perceived Job Stress among K-12 special education teachers in US. The study was guided by the theoretical…

The present meta-analytic study examined the overall effectiveness of child-centered play therapy (CCPT) and child-parent relationship therapy (CPRT) for children experiencing internalizing problems. After conducting a comprehensive literature search and review, 25 studies published between 2000 and 2023 met the following inclusion criteria: (a)…

This piece of research is designed to achieve the following: (1) to highlight the salient biopsychosocial factors shared amongst many of the perpetrators of this school shooting phenomenon; (2) to reveal many of the noteworthy environmental factors, both, within the assailant's school system and in his/her immediate environment; (3) to discuss the…

Objective: To identify childhood psychopathological features that predict the onset of adolescent Bipolar (BD) versus Unipolar Major Depressive Disorder (UD) during adolescence. Method: We analyzed clinical data from 495 juveniles diagnosed with DSM-5 UD (n = 359), and BD (n = 136), using bivariate analysis and multivariate logistic regression…

This dissertation examines the relationship between teacher retention and student perceptions of school climate in an urban school district, both in individual school years and across multiple school years. This secondary analysis uses a school-level measure of teacher retention from New York City (NYC) public schools and measures of school…

Purpose: Poor sleep is associated with short-term dysregulation of mood and is a risk factor for major depressive disorder (MDD). This study examines whether objectively measured sleep in late adolescence prospectively predicts major depressive episode (MDE) onset in early adulthood as well as whether daily affect mediates this association.…

Previous research explicates ordinal and disordinal interactions through the concept of the "crossover point." This point is determined via simple regression models of a focal predictor at specific moderator values and signifies the intersection of these models. An interaction effect is labeled as disordinal (or ordinal) when the…

Background: Sound learning design should be based on the constructive alignment of intended learning outcomes (LOs), teaching and learning activities and formative and summative assessment. Assessment validity strongly relies on its alignment with LOs. Valid and reliable formative assessment can be analysed as a predictor of students' academic…

Studying Latin in secondary education is still widespread in Europe and believed to result in cognitive benefits, even beyond the linguistic domain. In this study we explored the relation between such study and later academic achievement in higher education (N = 1,898). First, we demonstrated that Latin students exhibit increased levels of study…

In learning analytics and in education at large, AI explanations are always computed from aggregate data of all the students to offer the "average" picture. Whereas the average may work for most students, it does not reflect or capture the individual differences or the variability among students. Therefore, instance-level…

Early detection of autism spectrum condition is crucial for children to maximally benefit from early intervention. The study examined a machine learning model predicting the increased likelihood for autism from wellness records from 0 to 24 months. The study included 591,989 non-autistic and 12,846 autistic children. A gradient boosting model with…

In the contemporary era, the landscape of innovation and entrepreneurship is dynamically evolving, fueled by a substantial surge in venture capital investments and the rapid expansion of the global startup ecosystem. This burgeoning growth not only highlights the vibrant nature of modern economies but also brings to the forefront the critical…

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…