The purpose of this study was to discover the role and influence of high school administrator's emotional intelligence on classroom teachers' perception of administrative support at a public high school in northern Delaware. The theory guiding this study is Goleman's theory of emotional intelligence. This transcendental phenomenological study was…

Although ADHD has been extensively researched as a complex neurodevelopmental disorder across the decades, the phenomenon of emotion dysregulation (ED) requires further exploration, as it may be an overlooked area of impairment that contributes to worse health and quality of life outcomes for individuals with ADHD. Research on the prevalence of…

School dropout is a significant issue in distance learning, and early detection is crucial for addressing the problem. Our study aims to create a binary classification model that anticipates students' activity levels based on their current achievements and engagement on a Canadian Distance learning Platform. Predicting student dropout, a common…

This article explores the application of generative artificial intelligence (AI), such as ChatGPT, in the development of customized textual materials for communication teaching. It underscores the potential of generative AI to address the scarcity of suitable learning materials and enhance teaching effectiveness. A case study of text generation…

ETS experts are exploring and defining the standards for responsible AI use in assessments. A comprehensive framework and principles will be unveiled in the coming months. In the meantime, this document outlines the critical areas these standards will encompass, including the principles of: (1) Fairness and bias mitigation; (2) Privacy and…

For randomized trials that use text as an outcome, traditional approaches for assessing treatment impact require that each document first be manually coded for constructs of interest by trained human raters. This process, the current standard, is both time-consuming and limiting: even the largest human coding efforts are typically constrained to…

Education is becoming more integrated with technology use. As Ammanath (2023) described, the older generation of educators need to move past their fears of technological advances to find the potential to better prepare younger generations for an artificially intelligent world. This dissertation addresses how teachers perceive the use of artificial…

Purpose: Artificial intelligence (AI) is a growing paradigm and has made considerable changes in many fields of study, including medical education. However, more investigations are needed to successfully adopt AI in medical education. The purpose of this study was identify the determinant factors in adopting AI-driven technology in medical…

In this systematic review, we synthesize ten empirical peer-reviewed articles published between 2019 and 2023 that used generative artificial intelligence (GenAI) for automated feedback in higher education. There are significant opportunities and challenges to integrate these tools effectively into learning environments as the demand for timely…

The way in which students can identify, regulate and manage their emotions can impact not only on their present positive attitude and increased self-esteem, but also on their subsequent professional performance. In this study, 798 pre-service teachers participated, with a mean age of 24.52 years (±5.48). The instruments used were: "Wong Law…

RobotReviewer is a tool for automatically assessing the risk of bias in randomized controlled trials, but there is limited evidence of its reliability. We evaluated the agreement between RobotReviewer and humans regarding the risk of bias assessment based on 1955 randomized controlled trials. The risk of bias in these trials was assessed via two…

Several AI-aided screening tools have emerged to tackle the ever-expanding body of literature. These tools employ active learning, where algorithms sort abstracts based on human feedback. However, researchers using these tools face a crucial dilemma: When should they stop screening without knowing the proportion of relevant studies? Although…

Background and Aims: This study examined the effects of working memory training (WMT) on WM and fluid intelligence. A novel four-pronged model of mediated learning, cognitive functions, task characteristics and metacognition is presented as a conceptual basis for the Modifiability of a Working Memory Program (MWMP). Our basic assumption is that…

The objectives of this research were 1) to study the problems of stress and depression among Grade 12 students; 2) to investigate the machine learning technique in analyzing and predicting stress, depression, and academic performance among Grade 12 students; and 3) to evaluate the stress and depression prediction platform. Students from schools in…

This study aimed to propose a Professional Development Model (PDM) for chemistry teachers to enhance their professional development in Artificial Intelligence (AI). The research group consisted of 17 chemistry teachers. The study was designed using a particular case study suitable for qualitative research methods. Document review, teacher…