Deep neural network (DNN) has been widely used in various artificial intelligence applications and is, unsurprisingly, penetrating the field of school psychology. In the school environment, universal screening is used by teachers to identify children's emotional and behavioral risk (EBR) within a screener. EBR can be used to predict possible…

Two potentially impactful conceptions of mathematics and mathematics teaching, teachers' implicit theories (i.e., mindset) toward intelligence and mathematical ability, have not been well examined in the literature. This study established baseline characteristics for these constructs across grades K-12 teachers through a survey of background and…

The purpose of this research is to explore the relationship between grit and emotional intelligence among university students. The study group was composed of 230 students studying at Konya Selçuk University during the 2017-2018 academic year. Among them, 22 were female students, 208 were male students, 123 were students in the first year and 107…

This research uses a three-phase method to evaluate and forecast the academic efficiency of engineering programs. In the first phase, university profiles are created through cluster analysis. In the second phase, the academic efficiency of these profiles is evaluated through Data Envelopment Analysis. Finally, a machine learning model is trained…

Delphi method which is a technique and structured approach used to review and collect opinions of a group of experts, has its own weaknesses. The Fuzzy Delphi Method (FDM), derived from modifications of Delphi Method introduced by Kaufman and Gupta in 1988, is considered by many researchers as more superior in providing evidence of human…

Machine learning (ML) has been increasingly employed in science assessment to facilitate automatic scoring efforts, although with varying degrees of success (i.e., magnitudes of machine-human score agreements [MHAs]). Little work has empirically examined the factors that impact MHA disparities in this growing field, thus constraining the…

This study adopted a novel text mining (TM) technique in curriculum studies to analyze the multi-layered South Korean curriculum document (CD) system from 2012 to 2017. A total of 716 CDs from the national, regional, and school levels corresponding to 23.4 million Korean characters were examined through keyword frequency analysis, topic modeling…

Research Findings: The current study explored the impact of a brief, small-group, shared book-reading (SBR) intervention on preschoolers' expression of thoughts and emotions and their social understanding. To structure discourse around the book, we adapted Ellis's ABC model, which focuses on understanding activating events (A), related beliefs…

This study is intended to provide an example of computational modeling (CM) experiment using machine learning algorithms. Specific outcomes modeled in this study are the predicted influences associated with the Science Writing Heuristic (SWH) and associated with the completion of question items for the Cornell Critical Thinking Test. The Student…

In the present study, emotional intelligence and academic listening skill levels of pre-service teachers and the correlations between these variables were determined. Furthermore, the emotional intelligence levels and academic listening competencies of pre-service teachers were also investigated based on the variables of gender, department, and…

E-learning is renowned as one of the highly effective modalities of learning. Social learning, in turn, is considered to be of major importance as it promotes collaboration between learners. For properly managing learning resources, recommender systems have been implemented in e-learning to enhance learners' experience. Whilst recommender systems…

This research work has a particular emphasis that deals with innovation and development of international Chinese language teaching and learning within the classroom in the new era, especially with an emphasis on AI (artificial intelligence) as well as an emphasis on the creation of smart classrooms. This paper focuses on utilizing creative…

This article presents the findings from a qualitative phenomenological study with 21 Faculty of Color in departments of educational leadership and administration who were tenured within the past 7 years. An emphasis was placed on examining the role of emotional and social intelligence as the participants successfully navigated the promotion and…

Digitization across the healthcare industry has witnessed the advent of emerging Cognitive Computing (CC) healthcare technologies that improve diagnostic accuracy and efficiency, predict illnesses, automate routine healthcare tasks, and refine processes and care beyond human capabilities. Increased adoption of this technology can be attributed to…

This study investigated the efficacy of an evidence-based intervention aimed at enhancing middle school students' understanding of achievement emotions and their regulation. We used the control-value theory of achievement emotions and ability conception from emotional intelligence as a theoretical framework. Participants were 62 students followed…