Generative AI is revolutionizing education by enhancing personalized learning, fostering innovation, and transforming traditional teaching methodologies, making it a critical tool for the future of education. This study aims to explore the impact of generative AI (Gen-AI) technologies, focusing on academic and learning performance, publication…

This study explores academics' perspectives on integrating artificial intelligence (AI) into Moroccan higher education (HE). A questionnaire examining perceived benefits, challenges, and influence of demographic factors was distributed to 103 faculty members at the college of Arts and Humanities, Sidi Mohamed Ben Abdellah University in Fez,…

While generative artificial intelligence (AI) tools are gradually being integrated into educational practice, their actual usability in classroom settings remains insufficiently understood. This mixed-methods research was designed as a small-sample pilot study, offering preliminary insights to inform a future large-scale scientific evaluation. The…

Generative artificial intelligence (AI) has the potential to be transformative or to amplify misrepresentations and biases. Generative AI text-to-image production using DALL-E 3 was evaluated for gender and ethnicity biases among Australian academics. DALL-E 3 produced multiple iterations of images using a variety of prompts. Collectively, 81…

This study explores secondary school teachers' perspectives on artificial intelligence (AI)- supported tools through qualitative in-depth interviews with 16 teachers of English as a foreign language in Kazakhstan. The research aimed to understand teachers' views on pedagogy, their knowledge of AI, and their perceptions of its opportunities and…

This study aimed to utilise artificial intelligence (AI) tools to create animations to assess the impact of AI-created cartoons on vocabulary growth and motivation levels among learners. For this purpose, 80 Omani EFL learners with a pre-intermediate level of English proficiency were randomly assigned to an experimental and a control group, each…

Research on artificial intelligence (AI) in education has mainly focused on the measurement instruments relevant to learning about AI and framing AI literacy as learning about AI. The present study's focus, however, was on developing and validating a scale pertinent to learning with generative artificial intelligence (GenAI) in higher education.…

Background: The rapid advancement of artificial intelligence (AI) has raised significant ethical concerns, prompting higher education institutions to reconsider how they prepare future STEM professionals to navigate such concerns responsibly. Despite growing efforts to integrate AI ethics into higher education, a lack of consensus and standardized…

As artificial intelligence (AI) technologies become increasingly integrated into educational settings, understanding the factors that influence teachers' acceptance or resistance to AI is critical, particularly in the STEM education sector. Despite growing interest in AI in education, few studies have examined the psychological and cultural…

The crucial role of teachers' interpersonal communication skills in diverse aspects of second language (L2) education has been endorsed by prior scholarship. Such significance multiplies in artificial intelligence (AI)-mediated education in which interaction fosters understanding and using content and feedback. Nevertheless, the literature has…

Qualitative studies that examine the impact of generative AI technologies on higher education remain scant. Whether it is the ethical dimensions of modeling human emotions within these technologies or the authentic emotional reactions to these technologies and their outputs--emotionality is at the centre of generative AI discourse. This paper…

Low birthweight children are at risk for motor, language and cognitive delay in early childhood. The aim of the present study is the examination of cognitive skill development among 4-year-old preterm and low birthweight children in relation to demographical and perinatal variables. We utilized the Wechsler Preschool Primary Scales of…

Children's ways of learning are as different as the colors of the rainbow. All children have different personalities, preferences and tastes; they all have a certain way they prefer to learn. Teachers and parents need to be aware of and value these differences. Children's brains develop faster from birth to age three than any other time, and more…

Recently, with the advancement in 2D imaging techniques and 3D visual sensors such as LiDAR, RGB-D cameras, etc. The use of 2D and 3D data is ubiquitous in various fields like autonomous driving, AR, and VR. Therefore, we are faced with an ever-increasing demand for approaches toward the automatic processing and analysis of data from multiple…

We propose an innovative, effective, and data-agnostic method to train a deep-neural network model with an extremely small training dataset, called VELR (Voting-based Ensemble Learning with Rejection). In educational research and practice, providing valid labels for a sufficient amount of data to be used for supervised learning can be very costly…