Research on artificial intelligence (AI) in education has revealed a significant gap in understanding the complex relationship between AI, self-regulation, and teachers' pedagogical practices in the United Arab Emirates (UAE). The study adopts a cross-sectional study that uses exploratory survey aimed at investigating ChatGPT's role in the future…

Artificial intelligence (AI) is becoming ever better and more powerful, which is why it can be found in many areas of everyday life. AIs like ChatGPT have also found their way into universities and more and more students are trusting them. Previous studies found opportunities of ChatGPT in academic education such as personalized and interactive…

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…

Students in higher education increasingly integrate emerging technologies to enrich their learning experiences. Universal tools such as virtual classrooms, multimedia presentations, and learning management systems are now widely employed in teaching and learning activities. However, Artificial intelligence (AI) techniques are not yet commonly used…

Artificial Intelligence (AI) has become a transformative force in education, significantly influencing students. This research explores AI's impact on learning experiences, academic performance, career guidance, motivation, self-reliance, social interaction, and AI dependency. Utilizing a descriptive-comparative design, 194 student respondents…

This study aimed to assess the readiness of Jordanian science teachers for integrating Artificial Intelligence (AI) in science education, focusing on their perceptions, challenges, and training needs. A quantitative survey methodology was employed, using a 35-item questionnaire distributed to 136 science teachers in urban Jordan. The…

Contextualised in the AI--supported English-speaking learning, this study examined the roles of AI affordances in influencing EFL learners' emotional, cognitive, and behavioural speaking engagement, and explored the moderating roles of gender and learner types (on-campus vs. on-job) in influencing AI-supported English-speaking engagement. Data…

Intelligence involves the ability to think, solve problems, analyze situations, and understand social values, customs, and norms. Intelligence is a general mental capability that involves the ability to reason, plan, think abstractly, comprehend ideas and language, and learn. Intellectual ability involves comprehension, understanding, and learning…

Recent advancements in Artificial Intelligence (AI) are transforming language education by enabling more effective instructional practices and enhanced learning outcomes. AI-driven technologies--including tutoring systems, personalized learning platforms, and automated assessment tools--have the potential to revolutionize classroom instruction.…

Artificial intelligence (AI) education is still in the exploratory stage for K-12 schools. There is a serious lack of studies that informed schools teachers about AI curriculum design. Accordingly, this paper presented an AI curriculum and examined whether the curriculum improves students' perceived AI knowledge, attitudes, and motivation towards…

Challenges of teaching Mathematics include inadequate teachers, over reliance on the talk and chalk method of teaching and inadequate use of instructional materials. These resulted in poor academic performance among secondary school students in Osun State, Nigeria. This study therefore determined the effect of locally developed smart learning…

Prediction of student performance is one of the most important subjects of educational data mining. Artificial neural networks are seen to be an effective tool in predicting student performance in e-learning environments. In the studies carried out with artificial neural networks, performance predictions based on student scores are generally made,…

Building on our 2024 AI Survey, we surveyed 1,041 full-time undergraduate students through Savanta about their use of generative artificial intelligence (GenAI) tools. In 2025, we find that the student use of AI has surged in the last year, with almost all students (92%) now using AI in some form, up from 66% in 2024, and some 88% having used…

Although many studies use feedback learning paradigms to study the process of learning in laboratory settings, little is known about their relevance for real-world learning settings such as school. In a large developmental sample (N = 228, 8-25 years), we investigated whether performance and neural activity during a feedback learning task…

Educators, including English Language Teaching practitioners, acknowledge the influence of collaborative learning on students' learning experiences, as demonstrated by numerous studies conducted in diverse contexts. This research, however, keeping instructional innovation, students' collaborative engagement, language learning and classroom…