This research focuses on developing innovator skills in a group of innovators in the higher education level in the field of business administration, emphasizing the use of creative learning processes to promote innovator skills. The purpose of this research is to 1) Studying the characteristics of higher education innovators. 2) Develop a…

Dysgraphia is a learning disability that impairs children's written expression, mainly handwriting but also coherence at the same time. This research work was conducted to know the effectiveness of Chat Generative Pre-trained Transformer (ChatGPT)-based intervention, in assisting children with dysgraphia to enhance their writing skills. The…

This paper presents the conceptual design of a simulation-based training system that supports pre-service teachers in developing discourse competence for facilitating accountable classroom talk on socio-scientific issues (SSI). The system is grounded in research on dialogic teaching, conceptual change, teacher reflection, and the TPACK framework.…

This study concludes that traditional logistic regression models, particularly those using ACT Composite scores, tend to demonstrate better fairness metrics across subgroups compared to a fairness-aware machine learning gradient-boosted machine model. The exclusion of race/ethnicity from predictive models does not introduce notable bias and may…

Machine translation tools have gained increasing popularity among translation learners, transforming their translation learning behaviors. However, it is unclear how learners' continuance intention to use these tools is affected yet. Based on the task-technology fit (TTF) model and the value-based adoption model (VAM), the present study examined…

The rapid adoption of generative artificial intelligence (AI) chatbots, particularly ChatGPT, among university students reflects significant changes in the teaching and learning process. This study examines the usage patterns, motivations, and attitudes of 974 university students who use generative chatbots in academic settings. Results indicate…

Generative AI technologies are rapidly transforming educational practices, creating both opportunities and challenges for teacher-preparation programs. As these advanced tools become increasingly prevalent in classrooms, understanding the factors that influence pre-service teachers' acceptance and adoption of such technologies has become…

Generative Artificial Intelligence (GAI), with its distinctive capabilities, is inducing profound transformations across multiple industries. In the realm of higher education, a centered around human intellect and pedagogical advancement, these emerging technologies are at a pivotal juncture of change. Within the scope of GAI, the dynamics of…

Purpose: This study investigates the relationships between distributed leadership, innovative work behavior (IWB), and teachers' perceptions of artificial intelligence (AI) implementation in Ghanaian schools. Specifically, it explores the direct and indirect effects of distributed leadership on teachers' perceptions of AI, with IWB acting as a…

Previous studies have used cluster analysis to address the diagnostic heterogeneity of autism spectrum disorder, but have been limited by identifying subgroups solely on the basis of core autism symptoms. The present study aimed to identify sleep phenotypes and their clustering with core autism symptoms in youth diagnosed with autism. 1397…

Machine learning algorithms have been widely used for identifying at-risk students. Current research focuses on timeliness and accuracy of the predictions, leading to a heavy reliance on demographic data, which introduces severe bias issues. This study develops fairness-aware machine learning models to identify at-risk students in high school…

The integration of artificial intelligence (AI) into nursing education is essential for equipping future nurses with the skills required to navigate an increasingly technology-driven healthcare environment. This study aimed to validate the Arabic version of the Unified Theory of Acceptance and Use of Technology (UTAUT-2012) model in assessing…

The present study examined the content of applied behavior analytic therapy (ABA therapy) on skill acquisition and intelligence test scores of twenty-eight children with autism and related disabilities. Using a randomized controlled trial, we compared (a) traditional ABA consisting of verbal behavior techniques developed by Skinner (Verbal…

Individuals encounter problems daily wherein varying numbers of constraints require delimitation of memory to target goal-satisfying information. Multiply-constrained problems, such as the compound remote associates, are commonly used to study this type of problem solving. Since their development, multiply-constrained problems have been…

In recent studies, test-score increases have been shown in rule-based intelligence test tasks, such as number series, after watching a corresponding video tutorial. An open question remains regarding the mechanisms involved. Specifically, taking notes to describe the relations between numbers might be linked to test scores, and is hypothesized to…