Nonverbal behavior can impact language proficiency scores in speaking tests, but there is little empirical information of the size or consistency of its effects or whether language proficiency may be a moderating variable. In this study, 100 novice raters watched and scored 30 recordings of test takers taking an international, high stakes…

Background/Context: Chronic absenteeism is a serious problem that has been linked to lower academic achievement, diminished socioemotional skills, and an increased likelihood of high school dropout (Allensworth et al., 2021; Gottfried, 2014). As a result, many schools have begun to embrace early warning systems (EWS) as a tool to identify and flag…

As a personality trait, second language (L2) grit--a combination of perseverance and passion for L2 learning--has recently been proposed as a meaningful predictor of learners' motivational behavior and L2 achievement. The results of a growing body of empirical studies carried out in various L2 contexts have substantiated the power of L2 grit in…

Reducing concussion risks in athletes depends on self-reporting. Often, athletes decide whether to report concussions or continue playing and risk serious health consequences. Fuzzy-trace theory (FTT) predicts that reliance on gisty, categorical representations of risky decisions, not amounts of risk/reward, encourages risk avoidance and…

This study aims to determine the levels of teacher and trainer candidates in the university education process, in line with the findings obtained in the dimensions of professional anxiety and self-efficacy and their sub-dimensions as a result of examining the professional anxiety and self-efficacy perceptions of teacher and trainer candidates. In…

The recent inclusion of the "Depth Study" in the New South Wales (NSW) Years 11 and 12 science curriculum has generally been well received by secondary science education leaders. The Depth Study is designed to present an opportunity for students to engage in inquiry-based learning (IBL). However, the integration of this new curriculum…

In the age of big data and analytics, it is important that students learn about artificial intelligence (AI) and machine learning (ML). Machine learning is a discipline that focuses on building a computer system that can improve itself using experience. ML models can be used to detect patterns from data and recommend strategic marketing actions.…

In recent years, workplace envy has gradually become a hot research topic for organizational behavior. Scholars have explored the antecedents and consequences of envy following the traditional research paradigm. The latest leadership theory also provides new ideas for its development. Although the traditional methods continue to optimize the…

Background: Shorter validated health assessment tools are needed. The validated 25-item Salutogenic Wellness Promotion Scale (SWPS) measures health status through assessment of engagement in multidimensional health behaviors. Purpose: To do an initial assessment of the Short Form Salutogenic Wellness Promotion Scale (SWPS-SF). Methods: A…

This study examined the effects of fluid intelligence and trait emotional intelligence (trait EI) on academic performance in primary school-aged intellectually gifted and average children (8-11 years of age). One hundred and four average children and eighty gifted children were administered a Raven's Standard Progressive Matrices and a Trait…

Objective: "Drunkorexia" or compensatory eating behaviors in response to alcohol consumption, resembles a subclinical eating disorder, and is a current public health concern. Eating disorders and alcohol abuse are associated with dysfunction of the hypothalamic-pituitary-adrenal axis (HPA). One index of HPA function is cortisol. As…

Psychiatric disorders in individuals with co-occurring autism spectrum disorders (ASD) and intellectual disability (ID) are common, but diagnosis presents many challenges. The Psychopathology in Autism checklist (PAC) is among the very few instruments specifically developed for this group of individuals. The psychometric properties of the PAC…

How does viewers' knowledge guide their attention while they watch everyday events, how does it affect their memory, and does it change with age? Older adults have diminished episodic memory for everyday events, but intact semantic knowledge. Indeed, research suggests that older adults may rely on their semantic memory to offset impairments in…

Distance learning enrollments in higher education continue to grow, and academic leaders increasingly use non-designer instructors (NDIs) to meet demand. NDIs have little control over some aspects of teaching presence, including course design through instructional media resources included in a predesigned master course. This study used the…

Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…