The study aimed to investigate the relationship between verbal and mathematical intelligences, visual and auditory learning styles and students' achievements, as well as the impact of verbal and mathematical intelligences, and visual and auditory learning styles on students' achievements. A non-equivalent control group post-test-only…

ChatGPT is an AI tool that assisted in writing, learning, solving assessments and could do so in a conversational way. The purpose of the study was to develop a model that examined the predictors of adoption and use of ChatGPT among higher education students. The proposed model was based on a previous theory of technology adoption. Seven…

Developing tools to support students, educators, intuitions, and government in the educational environment has become an important task to improve the quality of education and learning outcomes. Information and communication technology (ICT) is adopted by educational institutions; one such instance is video interaction in flipped teaching.…

This study examined the relationships between word reading and rapid automatized naming (RAN) for objects and letters in Arabic-speaking children with and without dyslexia to determine potential modulating effects of color on naming by comparing children's performance on color and black-white RAN plates. Participants were 114 Arabic-speaking third…

While instances of cut and paste plagiarism among undergraduate college students has decreased over the past several years, a new form of plagiarism has emerged that often goes undetected by these software systems. Paraphrasing websites allow users to enter information from a source, which the website will then reword, giving the appearance of an…

Journalism is a highly technology-dependent profession, and students, educators, and professionals must develop specific digital skills. This study uses the theory of disruptive innovation to examine how journalism educators adapt their programs in response to changing media environments. A survey of accredited journalism and mass communication…

This study investigates student perceptions of artificial intelligence (AI). The study analyzed four independent variables -- age, gender, school, and employment -- to predict students' level of readiness to adopt AI within an educational setting. Using an instrument with two constructs, data was collected from a diverse, multicultural group of…

Retaining a talented workforce is a crucial concern for any organization. This study aimed to examine the level and predictors of organizational commitment among Ethiopian public university instructors. The objectives were to measure the levels of emotional intelligence, effective communication, and organizational commitment; test the…

Generic competence (GC) development is an integral part of higher education to provide holistic education and enhance student career development. It also plays a critical role in complementing the curriculum. Many tertiary institutions provide various GC development activities (GCDA). Moreover, institutions strongly need to further understand…

Artificial intelligence (AI) has the potential to support self-regulated learning (SRL) because of its strong anthropomorphic characteristics. However, most studies of AI in education have focused on cognitive outcomes in higher education, and little research has examined how psychological needs affect SRL with AI in the K-12 setting. SRL is a…

Background/purpose: Due to its significant potential, ChatGPT has recently revolutionized global education, particularly in the field of language learning. Against this backdrop, this study examines the perceptions of English as a Foreign Language (EFL) students regarding the use of ChatGPT to enhance their English language skills. It examines…

The rapid emergence of agentic artificial intelligence (AI) systems represents a paradigm shift in military operations, demanding fundamental transformation of US military education. This paper presents a comprehensive framework for reskilling and redesigning military education to address critical workforce readiness gaps in the era of autonomous…

Predicting students' learning outcomes is one of the main topics of interest in the area of Educational Data Mining and Learning Analytics. To this end, a plethora of machine learning methods has been successfully applied for solving a variety of predictive problems. However, it is of utmost importance for both educators and data scientists to…

The purpose of this study quantitative correlational research was to examine if and to what extent one or more of teachers' emotional intelligence (EI) abilities of perceiving, using, understanding, and managing, as measured by the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT), predicted practicing teachers' performance (PTP), as…

Few studies have investigated associations of milestone development in early childhood with intelligence in adulthood in typically developing children. The current study is an extension of 2 previous studies on smaller samples and investigated associations of age at attainment of 32 developmental milestones attained between 0 and 3 years of age…