Developmental coordination disorder (DCD) impacts the quality of life and ability to perform coordinated actions in 5% of school-aged children. The quality of body representations of individuals with DCD has been questioned, but never assessed. We hypothesize that children with DCD have imprecise body representations in the sensory and motor…

Quantum physics forms the basis for exciting new technologies, including quantum computers, quantum encryption, and quantum entanglement. The advancement of science and technology highlights the importance of mastering quantum physics and its applications, not only at the college level but also as early as high school. In this multiple case study,…

Instructors use of Artificial Intelligence (AI) language models (i.e., chatbots) as an educational resource will require an understanding of students' AI literacy, namely their ability to critically reflect on the relevance, trustworthiness, and quality of these tools in the context of chemistry. This study sought to describe students' AI literacy…

Task-based language teaching (TBLT) has occupied an important place in the field of language education; however, some of TBLT dimensions that pertain to the interaction between task design features, written corrective feedback (WCF), and learners' performance have not received adequate attention in past studies. To fill this gap, the current study…

Spoken English Competency (SEC) remains a critical weakness in English Proficiency (EP) of Chinese college students, particularly when compared with their English competency in writing and reading. Despite years of English learning since elementary school, Chinese college students often struggle to master SEC. Although previous studies have…

Multimodal learning analytics (MMLA) integrates novel sensing technologies and artificial intelligence algorithms, providing opportunities to enhance student reflection during complex, collaborative learning experiences. Although recent advancements in MMLA have shown its capability to generate insights into diverse learning behaviours across…

The emergence of AI-driven writing tools has assisted students in writing academic papers. Although the positive benefits of these tools have been acknowledged, concerns regarding ethics emerge. This research is a qualitative study aiming to explore university students' perspectives on the use of AI tools for academic writing. This study sought to…

This empirical study explores the deployment and effects of Augmented Reality (AR) in translation education, emphasizing its significant impact on student engagement, motivation, and accuracy across diverse text genres. Conducted over a 16-week period, our research utilizes a mixed-methods approach to assess AR's efficacy, especially in…

This article explores the multifaceted implications of integrating advanced generative AI technologies, specifically ChatGPT, into academic writing and research. It delves into the potential benefits and challenges that arise from the speculative advancements of ChatGPT, emphasizing the dual-edged nature of its capabilities. On one hand, ChatGPT…

Simulation is accepted as an effective method of learning procedural skills. However, the translational outcomes of skills acquired through simulation still warrants investigation. We designed this study to assess if skills laboratory training in addition to bedside learning (intervention group [IG]) would provide better learning results than…

This research aimed to investigate the impact of word decoding speed and accuracy on reading comprehension in Turkish, which is characterized by a highly transparent and morphologically complex orthographic system. The study involved 160 students, half of whom were identified as poor readers, while the other half were classified as good readers.…

Large Language Model (LLM) Functionalities, such as Chat Generative Pre-Trained Transformer (ChatGPT), are a form of artificial intelligence (AI) that have the ability to produce human-like writing in response to a wide array of input. As this technology has become a staple of everyday life, many educators find themselves rapidly redefining best…

Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…

Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…

The putative confession (PC) instruction (i.e., "[suspect] told me everything that happened and wants you to tell the truth") during forensic interviews with children has been shown to increase the accuracy of children's statements, but it is unclear whether adults' perceptions are sensitive to this salutary effect. The present study…