The rapid growth of artificial intelligence (AI) has impacted diverse sectors, including language education, highlighting the critical importance of user acceptance and key factors that facilitate AI adoption. This study employs a quantitative approach to investigate the factors influencing English as a Foreign Language (EFL) students' willingness…

ChatGPT has sparked heated discussion in higher education since its public release and increasing empirical studies have been made available examining its application to higher education teaching and learning. To capture and synthesize the initial scholarly developments in this topic, we undertook a scoping review of empirical research into the…

Critical thinking is an essential skill in the age of generative artificial intelligence (GenAI). GenAI affords dialectic argumentation, which provides opportunities for the development of critical thinking in argumentation (CTA). However, there was limited empirical evidence of how learners specifically utilize GenAI to construct argumentation.…

The integration of advanced generative AI has profoundly influenced higher education, especially in language learning. In Japan's exam-focused and teacher-centered English education system, students have few opportunities to use generative AI to enhance critical skills like analysis, evaluation, and creativity. Learning often remains passive, with…

As current challenges become more complex, bringing together people from different backgrounds to solve multifaceted problems has become crucial in the STEM field. There is growing recognition of the need to explicitly teach students the skills necessary to conduct inter- and transdisciplinary science, including communication, collaboration,…

Few studies have examined how cognitive-reading relations vary for children and adolescents with different levels of general cognitive ability. This may be instrumental in understanding the development of academic skills and learning difficulties. Research suggests reading development should emphasize the influence of contextual factors that have…

Online training has become pivotal for teacher professional development, yet it faces challenges such as sentiment burnout and low learning achievement. To capture sentiment information non-invasively, this study employs a text-based sentiment analysis approach to examine the dynamic sentiment states of teacher-learners, thereby revealing the…

Artificial intelligence (AI) has garnered significant attention in recent years, especially following the introduction of generative large language model (LLM)-based chatbots. This study investigates the factors influencing the adoption of ChatGPT, a widely used AI-powered chatbot, among students and teachers. Using the Unified Theory of…

The goal of this study was to test nonverbal intelligence and neighborhood social capital as protective factors against future delinquency in early adolescent youth placed at risk by virtue of their involvement in childhood conduct problems. Analyzing longitudinal data from 3,028 youth (1,565 boys, 1,463 girls) in one cohort of the Longitudinal…

Figural matrices tasks are one of the most prominent item formats used in intelligence tests, and their relevance for the assessment of cognitive abilities is unquestionable. However, despite endeavors of the open science movement to make scientific research accessible on all levels, there is a lack of royalty-free figural matrices tests. The Open…

Facial expressions provide key information for successful social interactions. Recent research finds that accurate perception of emotion expressions decreases when faces are presented with face masks. What is unknown is how individual differences in social intelligence may influence perception of masked emotion expressions. In this study,…

For the developers of next-generation education technology (EdTech), the use of Learning Analytics (LA) is a key competitive advantage as the use of some form of LA in EdTech is fast becoming ubiquitous. At its core LA involves the use of Artificial Intelligence and Analytics on the data generated by technology-mediated learning to gain insights…

Systematic reviews are resource-intensive. The machine learning tools being developed mostly focus on the study identification process, but tools to assist in analysis and categorization are also needed. One possibility is to use unsupervised automatic text clustering, in which each study is automatically assigned to one or more meaningful…

Interventions in emotional competences and scientific studies of emotional competence are flourishing in the educational context. However, we find very few programs in Europe involving emotional interventions in vocational education and training (VET) and a dearth of scientific contributions. Our purpose with this paper is twofold: (a) we provide…

Artificial Intelligence in Education (AIEd) is an emerging interdisciplinary field that applies artificial intelligence technologies to transform instructional design and student learning. However, most research has investigated AIEd from the technological perspective, which cannot achieve a deep understand of the complex roles of AI in…