Learning engagement is considered a reliable predictor for evaluating the effectiveness of online learning and has become a focal point in online education in recent years. This study investigated the roles and mechanisms of social presence and online learning self-efficacy in mediating the relationship between perceived teacher emotional support…

Background and Aims: The hypothesis that study strategies can compensate for less study time in predicting learning outcomes has often been proposed but rarely tested empirically. Methods: In the present study, 231 university students reported their daily perceived time spent on self-study, study strategies (planning, monitoring, concentration and…

Elevated stress levels among teachers are linked to both physical and mental health issues, which in turn affect their job performance. In addition, teachers' ability to regulate emotions influences their instructional effectiveness and well-being. Moreover, psychological well-being is crucial for teachers' satisfaction and success, influenced by…

Teacher learning in asynchronous online professional development (PD) is often measured by self-reported instruments, despite uncertainties regarding teachers' accuracy in their self-assessment of learning. This study explored whether teachers' self-reported "gains" in content knowledge for teaching aligned with those measured by direct…

With a focus on content-area reading, this study aimed to (a) understand the sources and prevalence of concurrent and specific difficulties in word-level skills, vocabulary, and knowledge among adolescent struggling readers (ASRs) and (b) explore the relations among reading skills, profiles, and reading comprehension. A dual-measure screening…

Predicting quitting rules is critical in visual search: Did I search enough for a cancer nodule in a breast X-ray or a threat in a baggage airport scanner? This study examines the predictive power of search organization indexes like best-r, mean ITD, PAO, or intersection rates as optimal criteria to leave a search in foraging (looking for several…

This study explored factors associated with teachers' self-efficacy beliefs in delivering a Tier 2 Cognitive-Behavioural Therapy (CBT)-based programme. Participants consisted of 103 teachers (mean age = 38.0 years, SD = 9.63) currently teaching in Singapore mainstream schools. Survey data on self-efficacy beliefs for teaching in general, teachers'…

This study aimed to examine the psychosocial predictors of peer bullying among middle school students. For this purpose, structural equation modeling (SEM), including peer bullying, school culture, parental rejection, basic psychological needs, and social emotional learning (SEL) skills, was tested. The data were collected from 565 middle school…

Our work contributes to existing research on student loyalty by testing a model that includes organisational justice as a predictor. In Study 1 (n = 257, Polish sample), students' perceived organisational justice of their university was a positive predictor of their loyalty. In Study 2 (n = 522, Polish sample), we replicated these findings and…

This quantitative research investigates the influence of parenting styles on students' attitudes toward learning English, including the descriptions of parenting styles and student attitudes toward learning English. The study involved 146 students from public middle schools in Airmadidi District, North Minahasa Regency, selected based on…

Despite efforts to implement innovative approaches such as flipped learning leveraging computer technology, the challenge of student failure persists. Understanding the factors that contribute to student success in flipped engineering courses remains a critical issue. This study addresses this issue by investigating the impact of student…

Background: Canadian 24-h movement guidelines recommend that adults achieve 150 min per week of moderate-to-vigorous physical activity (MVPA), 7-9 h of sleep per night and spend no more than 8-h per day sedentary to optimise health and wellbeing. Method: Using a cross-sectional survey of 131 family caregivers of adults with intellectual and…

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…

The advancement of digital technology has driven digitalization innovation in the field of education. Cultivating digital literacy of college students so as to enhance their online learning power is a new mission for higher education in the digital era. This study investigated the relationship between digital literacy and online learning power of…

This study investigates the predictive validity of lower extremity strength, strength asymmetry, and soccer-specific fitness in talent identification among elite male youth soccer players. Employing a Retrospective Cohort design, we established a cohort consisting of K-League registered youth players, totaling 219 individuals (all males, aged 16…