Background: Teachers' team innovativeness--the collective capacity of teaching teams to generate, adopt, and implement new ideas and practices--is increasingly recognized for its role in enhancing instructional methods and fostering school innovation. However, empirical research identifying its predictors remains limited, particularly within…

Objective: To investigate the effects of college student athletes' life skills on adaptation and life satisfaction. Participants: 246 college student athletes ("Mage" = 20.24 ± 1.11; 75% of males) who were registered in the Korea Sports Association in South Korea. Methods: A cross-sectional study design was used. College student athletes…

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…

This study addresses the necessity of comprehending the remote learning environment for improving online course design and delivery. The primary objective is to investigate the impact of teaching, cognitive, and social presence, along with learner motivation from the Community of Inquiry framework, on students' learning satisfaction in both…

We examined stigma towards vignette characters representing diverse autistic characteristics (social, non-speaking, or repetitive interests or restricted behaviors; RIRB) among 259 South Korean and 240 American participants (age range = 18 [approximately] 74). Within each domain, participants were randomized to read a vignette depicting low or…

This present work uses artificial neural networks (ANNs) to examine the association between various dimensions of coaching leadership and turnover Intention. The coaching leadership data were collected from 194 employees across multiple schools in Korea. The ANN models are capable of higher predictive accuracy than conventional linear regression…

The main purpose of this study was to explore major factors at student and teacher/school levels affecting middle-school students' science self-efficacy among countries with high science academic performance levels in PISA 2015 data by using various regression algorithms of machine learning and multilevel latent profile analysis (MLPA). Out of…

We consider the problem of assessing the changing performance levels of individual students as they go through online courses. This student performance modeling problem is a critical step for building adaptive online teaching systems. Specifically, we conduct a study of how to utilize various types and large amounts of log data from earlier…

This study aims to identify early childhood sociability trajectories and examine their longitudinal associations with behavior problems. Using a population-based data set presented by the Panel Study on Korean Children, sociability trajectories from age 2 to age 4 were identified by latent class growth analysis. Associations between sociability…

Although increasing evidence has demonstrated the benefits of mobile technology in diverse aspects of language learning, research on the use of mobiles in task-based instruction has been scarce. Particularly, there has been little research directly investigating predictors of the quality of mobile-assisted, video-making tasks. To fill the gap and…

Although gender ideologies influence many outcomes, research shows they often fluctuate across the life course. Family structure transitions are one mechanism through which gender ideologies change. Divorced and single adults report more egalitarian ideologies than stably married adults. Little research has examined whether children in these…

An article by Kim et al. from 2014 examined individual- and school-level variables affecting the information and communication technology (ICT) literacy level of Korean elementary school students, finding differential gender effects. In this secondary data replication, we used data from the 2018 International Computer and Information Literacy…

Art therapy students' art practice might influence professional identity and career commitment. Art therapy graduate students (n = 202) in South Korea participated in a survey. This study introduces the Art Practice Scale and associated exploratory factor analysis, which identified 2 subvariables: art competency and attitude toward artwork. The…

This empirical study uses a random forest algorithm to examine the factors that influence learners' persistence in online learning at a prominent Korean institution. The data were collected from students who began their studies in Spring 2021, and encompassed a range of variables including individual attributes, academic engagement, academic…

Oral language comprehension (OLC) and vocabulary depth are widely recognized as key predictors of reading comprehension. However, research has either provided a limited representation of OLC or failed to acknowledge the distinctive predictive nature of vocabulary depth. This study investigates the combined contributions of OLC, conceptualized as a…