Evidence from fMRI research indicates that individual creative thinking ability -- defined as performance on divergent thinking tasks, subjectively assessed by human raters -- can be predicted based on the strength of functional connectivity (FC) between the brain's default mode network (DMN) and frontoparietal control network (FPCN). Here, we…

This study examined the predictors of academic staff motivation for online teaching in a Nigerian University. Theory of Planned Behaviour served as the conceptual foundation for the study. A survey design was adopted and a total of one hundred and nine-five (195) academic staff participated in the study from a university that was purposefully…

While increasing productivity and economic growth, the application of artificial intelligence (AI) may ultimately require millions of people around the world to change careers or improve their skills. These disruptive effects contribute to the general public anxiety toward AI development. Despite the rising levels of AI anxiety (AIA) in recent…

Learning processes often occur at a situational level. Changes in learning context have implications on how students are motivated or are able to cognitively process information. To study such situational phenomena, Experience Sampling Method (ESM) can help assess psychological variables in the moment and in context. However, data collected via…

Three studies examined if teachers' beliefs about writing predicted their efficacy to teach writing. We surveyed primary grade teachers from Taiwan (N = 782), Shanghai (N = 429), and the United States (N = 214). At each location, teachers completed surveys assessing attitudes toward writing and the teaching of writing, beliefs about students'…

Organizations are keenly interested in data gathering from websites where discussions of products and brands occur. This increasingly means that programmers need an understanding of how to work with website application programming interfaces (APIs) for data acquisition. In this hands-on lab activity, students will learn how to gather data from…

This study examined how teachers support self-regulated learning (SRL) by examining reports of 15 potential practices and differentiated the use of these practices via teachers' SRL knowledge, beliefs, demographics, and student characteristics. Teachers (n = 112) responded to open-ended questions targeting SRL knowledge, beliefs, and practices and…

Fitting wrongly specified models to observed data may lead to invalid inferences about the model parameters of interest. The current study investigated the performance of the posterior predictive model checking (PPMC) approach in detecting model-data misfit of the hierarchical rater model (HRM). The HRM is a rater-mediated model that incorporates…

Structural equation modeling (SEM) is a widely used technique for studies involving latent constructs. While covariance-based SEM (CB-SEM) permits estimating the regression relationship among latent constructs, the parameters governing this relationship do not apply to that among the scored values of the constructs, which are needed for…

Doctoral programs experience low attrition rates and with keeping this in mind, it is important to address the challenges and barriers preventing students from reaching their academic goals. The purpose of this study is to investigate knowledge sharing behaviors and types of knowledge being shared among doctoral students and whether this process…

Neuroplasticity, defined as the brain's "potential" to change in response to its environment, has been extensively studied at the cellular and molecular levels. Work in animal models suggests that stimulation to the ventral tegmental area (VTA) enhances plasticity, and that myelination constrains plasticity. Little is known, however,…

Learning analytics intervention (LAI) studies aim to identify at-risk students early during an academic term using predictive models and facilitate educators to provide effective interventions to improve educational outcomes. A major impediment to the uptake of LAI is the lack of access to LAI infrastructure by educators to pilot LAI, which…

Guided by the Self-Determination Theory, this study examines the mediating role of teachers' basic psychological needs satisfaction in the relationships between teachers' perceived supervisor learning support and teachers' use of technology and job satisfaction. 180 teachers in Singapore participated in the study by completing a questionnaire.…

While national curricula in science education highlight the importance of inquiry-based learning, assessing students' capabilities in scientific inquiry remains a subject of debate. Our study explored the construction, developmental trends and validation techniques in relation to assessing scientific inquiry using a systematic literature review…

The dearth of large-scale profile studies in the context of the Republic of Korea (hereafter Korea) has limited the understanding of classroom praxis and factors that predict instructional practices. To fill this gap, we employed the data from the 2018 Teaching and learning international survey to identify instructional profiles of Korean…