The authenticity of a leader impacts the organizational environment and contributes to the success and stability of the individual, the team, and the organization. Although emotional intelligence has been used as a predictor of authentic leadership, the assessment of the leader has been largely self-reported. The purpose of this quantitative…

Extant literature has demonstrated that children's diurnal stress physiology often looks different on childcare versus home days. Specifically, children experience a rise in cortisol, rather than a decline, over the day while in full-time care. Additionally, temperamental fit within classroom environment may influence both child and teacher…

Objectives: The study aimed to investigate the predictive potential of language environment and vocal development status measures obtained through integrated analysis of Language ENvironment Analysis (LENA) recordings during the prelinguistic stage for subsequent speech and language development in Korean-acquiring children. Specifically, this…

Observational learning is essential for the acquisition of new behavior in educational practices and daily life and serves as an important mechanism for human cognitive and social-emotional development. However, we know little about its underlying neurocomputational mechanisms from a developmental perspective. In this study we used model-based…

Aiming to verify the predictive value of oral narrative structure on reading acquisition, we followed 253 children (first and second graders) during an entire school year, assessing oral narratives and reading performances in five sessions. Transcriptions of oral narratives were represented as word-recurrence graphs to measure connectedness…

Relational goals newly added to the teachers' goal orientation framework have been identified as one of the central features of effective teaching. However, little research has taken such goals into account, specifically in higher education contexts. Concerning the association between self-efficacy and goal orientations, this study was undertaken…

Organizational commitment and knowledge management are both crucial factors in the growth of an organization. The quantitative, correlational-predictive study was to examine if and to what extent the constituents of KM together predicted organizational commitment for high school employees in USA. Based on the premise that the relationship of…

Students often make incorrect predictions about their exam performance, with the lowest-performing students showing the greatest inaccuracies in their predictions. The reasons why low-performing students make inaccurate predictions are not fully understood. In two studies, we tested the hypothesis that low-performing students erroneously predict…

Besides learners' awareness of their knowledge, a growing number of studies also emphasise the importance of teachers' awareness of how well their students perform to adjust their teaching strategies accordingly. Therefore, proposing a multi-layered metacognitive regulatory model in teaching first, we investigated whether estimation type, item…

To assemble a high-quality test, psychometricians rely on subject matter experts (SMEs) to write high-quality items. However, SMEs are not typically given the opportunity to provide input on which content standards are most suitable for multiple-choice questions (MCQs). In the present study, we explored the relationship between perceived MCQ…

This study investigated college students' career maturity as a mediator of the effect of professional identity on academic achievement. The researchers developed a structural equation model and a research hypothesis using the Chinese college students' professional identity scale, career maturity scale, and academic achievement scale. After…

When a situation could lead to multiple mutually exclusive consequences, recent research shows that people automatically generate multiple predictive inferences in memory. Several theoretical mechanisms have been proposed to account for the generation of predictive inferences. One hypothesis is that inferences are minimally encoded, represented…

Background: Making accurate diagnoses in teams requires complex collaborative diagnostic reasoning skills, which require extensive training. In this study, we investigated broad content-independent behavioral indicators of diagnostic accuracy and checked whether and how quickly diagnostic accuracy could be predicted from these behavioral…

The global outbreak of the new coronavirus epidemic has promoted the development of intelligent education and the utilization of online learning systems. In order to provide students with intelligent services, such as cognitive diagnosis and personalized exercises recommendation, a fundamental task is the concept tagging for exercises, which…

In recent years, the rapid growth of Massive Open Online Courses (MOOCs) has attracted much attention for related research. Besides, one of the main challenges in MOOCs is the high dropout or low completion rate. Early dropout prediction algorithms aim the educational institutes to retain the students for the related course. There are several…