The mediators of real-world executive functions in autism during the transition into adulthood are mainly unknown. This study aimed to identify the mediators for the behavioral and cognitive domains of real-world executive functions in late adolescent and young adult autistic populations. We followed up 289 autistic children (aged 11.6 ± 3.8, male…

This mixed-methods study investigates the mismatch between student use of AI for academic tasks and teacher awareness in Saudi Arabian higher education. Surveys of 78 teachers and 243 students in English for Specific Purposes courses at public and private universities included Likert-scale items and an open-ended question on AI tools' benefits,…

The use of artificial intelligence (AI) is not a new concept. Still, the press, the worry, and the hype around the potential benefits and limitations of the explosion of these tools in this field is a current topic in teacher education. In this article, the authors summarize the past use of AI, present easily adaptable tools in teacher education,…

This study investigates the transformative potential of integrating Artificial Intelligence (AI), animation, and personalized learning in contemporary education. Employing a mixed-methods approach involving interviews and experimental manipulations, the research examines the interconnectedness of these three domains and their collective impact on…

Reading requires appropriate strategies to spark initial interest and sustain engagement. One promising strategy is the pedagogical approach of learning-by-teaching, transforming learners into active participants. Integrating this approach into digitalized and individualized reading contexts has the potential to foster the development of young…

Adaptive learning systems aim to emulate how skilled educators provide every student with the best possible learning experience. We investigate how these systems might be enriched by incorporating activities and indicators of social learning, which focus on the influences of learners' social context and interactions. This doctoral research aims to…

This book explores a range of technological and legal matters introduced to the education system by recent and significant technological developments. It delves into the transformation of education systems resulting from the COVID-19 pandemic, which presented various new challenges and threats that educational institutions were compelled to…

Questions exist as to whether AI tools, such as ChatGPT, can aid learning. This study examined whether in-class exercises involving error detection in text generated by ChatGPT can aid students' foreign language writing. Participants were Arabic-English speakers who were classified as ranging from modest to competent English users according to…

In the realm of AI-driven education, it is pivotal to evaluate the viability of ChatGPT as a substitute for human teachers in English classrooms. This study aims to explore learners' behaviors, perceptions, and attitudes to ChatGPT usage in English language learning. Participants were 120 I.T. students in Vietnam -- the Korea University of…

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…

This study investigates the role of self-assessment (SA), classroom climate (CC), and psychological variables in learning-oriented assessment (LOA) within English as a foreign language (EFL) education. Utilizing a mixed-methods approach, data was collected through surveys and semi-structured interviews from EFL learners and instructors. Findings…

The sentences in texts are far more complex and diverse than those that children commonly encounter in oral language. This raises interesting questions as to whether the understanding of some sentence types might be more important than others in children's reading comprehension. Accordingly, we examined the relation between children's reading…

The paper argues that there is a reductive logic inherent in conceptualisations of academic ability in some Western education research as currently configured. Effective interrogation of this concept necessitates consideration across relevant fields of research, as outlined in three areas of critique: that research on educational stratification…

This article presents the first-ever big data study of the student evaluation of teaching (SET) using artificial intelligence (AI). We train natural language processing (NLP) models on 1.6 million student evaluations from the US and the UK. We address two research questions: (1) are these models able to predict student ratings from the student…

This eye-tracking study explored how phonological encoding and speech production planning for successive words are coordinated in adult readers with dyslexia (N = 22) and control readers (N = 25) during "rapid automatized naming" (RAN). Using an object-RAN task, we orthogonally manipulated the word-form frequency and phonological…