Learning performance data, such as correct or incorrect answers and problem-solving attempts in intelligent tutoring systems (ITSs), facilitate the assessment of knowledge mastery and the delivery of effective instructions. However, these data tend to be highly sparse (80%90% missing observations) in most real-world applications. This data…

Purpose: Although the existing literature has explored the link between cognitive functioning and speech recognition in noise, the specific role of fluid intelligence still needs to be studied. Given the established association between working memory capacity (WMC) and fluid intelligence and the predictive power of WMC for speech recognition in…

In recent years, the incorporation of artificial intelligence (AI) into instructional settings has sparked important interest in how it can develop different aspects of language learning, principally in the realm of assessment. While traditional assessment methods have long been central to evaluating learners' progress, the rise of AI tools…

This action research study evaluated an original lesson using the AI language model ChatGPT to generate tailored play scripts for individual students based on their interests, reading levels, and creative visions. Implemented with 13 third and fourth graders in an after-school program, the "Journeying between Worlds and Words" lesson…

Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…

The aim of this study is to examine whether the emotional intelligence of 5-6 years preschool children differs significantly according to the frequency of outdoor play. The sample consists of 208 children and their parents. The data were collected through Sullivan's Emotional Intelligence Scale for Children (EISC) and the Personal Information…

Artificial intelligence (AI) driven chatbots provide instant feedback to support learning. Yet, the impacts of different feedback types on behavior and brain activation remain underexplored. We investigated how metacognitive, affective, and neutral feedback from an educational chatbot affected learning outcomes and brain activity using functional…

This study investigates the impact of an AI-enabled Collaborative Online International Learning (COIL) program on the intercultural competence of Chinese English majors. The research employs a mixed-methods approach, combining quantitative analysis of pre-test and post-test data with qualitative insights from participant interviews. Participants…

'Perhaps we should all stop for a moment and focus not only on making our AI better and more successful but also on the benefit of humanity'. - S. Hawkins, Web Summit, 2017. This international collaborative piece argues for a paradigm shift in our use and understanding of Artificial Intelligence (AI) in education, and in the development of…

This paper explores the complexities of co-authorship involving generative AI in academic contexts, focusing on an honors English class where students engaged with AI tools like ChatGPT. It critiques the boundaries of authorship as defined by COPE, which argues AI cannot be an author due to its lack of accountability. The study explores the…

The rise of AI-assisted writing tools has transformed academic literacy, as it offers students support in grammar correction, sentence structure, and idea generation. However, concerns about academic integrity and over-reliance on AI are on the increase. This study investigates how Nigerian university students use AI writing tools and examines…

The advent of generative artificial intelligence (GAI), exemplified by ChatGPT, has introduced both new opportunities and challenges in science, technology, engineering, and mathematics (STEM) and entrepreneurship education. This exploratory quasi-experimental study examined the effects of ChatGPT-assisted collaborative learning (CCL) on students'…

The aim of this study is to conduct a comprehensive analysis of scientific studies on the sustainability of artificial intelligence (AI) in education in the 21st century, based on the Web of Science (WoS) database, using systematic and bibliometric methods. In this context, a total of 237 articles on the sustainability of AI in education, covering…

People view many attributes, including intelligence, through implicit theories (or mindsets). Entity mindsets position the attribute as unchangeable or static, whereas incremental mindsets see the attribute as malleable or capable of being changed/improved (Dweck & Leggett, 1988). The present studies examined a new questionnaire designed to…

Educator preparation, personalized learning (PL) implementation, and applications of Generative AI converge as three interrelated systems that, when carefully designed, can help achieve the long-sought goal of providing inclusive education for all learners. However, realizing this potential comes with challenges resulting from theoretical…