The study aimed to identify the level of science and mathematics teachers' employment of artificial intelligence applications in the educational process in Jordan from their point of view. The study followed the descriptive method to achieve the objectives of the study. A questionnaire consisting of 22 items was developed, and the study sample…

While Artificial Intelligence (AI) is emerging as assistive technology for students with identified disabilities there is a need to understand the present literature and set new directions for future study. There is also a need to consider how students that have been identified with disabilities and their families might be positioned by…

This study explores the use of machine learning and physiological signals to enhance learning performance based on students' personality traits. Traditional personality assessment methods often yield unreliable responses, prompting the need for a novel approach utilizing objective data collection through physiological signals. Participants from a…

Through this study, we address the challenges that U.S. principals faced in the recent COVID crisis and analyse their leadership responses. Our purpose for this study was to identify the leadership practices of school principals that are effective in navigating a school crisis. We used the three dimensions identified in the National Preparedness…

Background: Artificial intelligence (AI) is able to emulate human performance on a task and may improve the radiologists' work. This text and opinion review explored the implementation of AI in diagnostic radiology education curricula at pre-licensure training/education in healthcare. The question was: what are the pedagogical possibilities,…

In this paper, we present an agenda for the research directions we recommend in addressing the issues of realizing and evaluating communication in CPS instruments. We outline our ideas on potential ways to improve: (1) generalizability in Human-Human assessment tools and ecological validity in Human-Agent ones; (2) flexible and convenient use of…

Tests of measurement invariance are essential to determining whether individual scores or group averages are comparable across populations. While international comparisons of mean IQ scores are common, tests of measurement invariance for intelligence test batteries (necessary for comparisons to be empirically supported) are rare. In this study,…

Artificial intelligence (AI), as an emerging technology, has been widely used in STEM education to promote the educational assessment. Although AI-driven educational assessment has the potential to assess students' learning automatically and reduce the workload of instructors, there is still a lack of review works to holistically examine the field…

Teacher's performance has significant influence on student's achievement. Few studies have sought to investigate the role of principal emotional intelligence on teacher job performance. This study examined the effects of principals' emotional intelligence on teacher performance by mediating the roles of organizational trust and professional…

Recently, artificial intelligence (AI) technologies have been widely used in the field of education, and artificial intelligence in education (AIEd) has gained increasing attention. However, no quantitative meta-analysis has been conducted on the overall effectiveness of AI on learning achievement and learning perception. To close this research…

Self-regulated learning (SRL), learners' monitoring and control of cognitive, affective, metacognitive, and motivational processes, is essential for learning. However, cognitive and metacognitive SRL strategies are not typically used accurately leading to poor learning outcomes. Intelligent tutoring systems (ITSs) attempt to address this issue by…

Place-based initiatives often use resident surveys to inform and evaluate interventions. Sampling based on well-defined sampling frames is important but challenging for initiatives that target subpopulations. Databases that enumerate total population counts can produce overinclusive sampling frames, resulting in costly outreach to ineligible…

Research about the sudden transition from offline to online in Macau during the pandemic is limited. Using the Community of Inquiry (COI) framework as the deductive thematic analysis template, we interviewed six award-winning teachers at a teaching-oriented local tertiary institute about their online teaching practices concerning social,…

The effective anti-corruption education requires careful understanding of the teaching-learning context. At the different stages of the designing an anti-corruption focuses course, we need to consider factors related to target learning group as well as the respective context in which they are. Learning style versatility is an important factor that…

This study aims to examine the theses on the critical thinking disposition of teacher candidates in Turkey. The document review method was used, which deals with documents related to a specific subject with a qualitative approach. The data of the research were analyzed by content analysis method. The Turkish Council of Higher Education (TCHE)…