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 Fullerton Longitudinal Study offers a unique opportunity to model the stability of intelligence and achievement and their relations from elementary through secondary school. Using latent variable modeling, we fit a cross-lagged panel model to examine the relations between intelligence and achievement in two academic domains: mathematics and…

Despite evidence supporting the presence of cognitive deficits in children and adolescents with high-functioning autism spectrum disorder (HF-ASD), the nature of these deficits and their clinical and adaptive correlates remain unclear. Moreover, there are few cognitive studies of ASD siblings as a high risk population. We compared 50 children and…

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…

This long-term longitudinal study addressed the theoretical underpinning of academic intrinsic motivation (AIM) from childhood through adolescence, to need for cognition (NFC) and educational attainment (EA) during adulthood. AIM was measured from 9 to 17 years old, NFC and EA at 29 years old, and IQ at 8 years old. Latent change and growth…

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…