The prevalence of nomophobia (anxiety and fear caused by not having access to working mobile phone) has raised concerns among college students because of its negative influence on their physical and psychological health. This study aimed to investigate the impact of alexithymia on nomophobia in college students and to examine the chain mediating…

This study explores the application of communicative AI agents, specifically a network of customized generative pretrained transformer agents, in designing mathematical tasks. It focuses on how these AI agents, functioning as a multi-professional team, can perform mathematical task design (concerning a collection of task activities and not…

This article reports on the findings of a research study which has approached language learning motivation (LLM) following Ushioda's (2009) person-in-context relational view of L2 motivation, Consoli's life capital (2021, 2022), Dweck's mindset (2017) and Dörnyei's vision system (2009). Our study provides insights into how LLM research is key to…

Enemy items are two test items that should not be presented to a candidate on the same test. Identifying enemies is essential for personnel assessment, as they weaken the measurement precision and validity of a test. In this research, we examined the effectiveness of lexical and semantic natural language processing techniques for identifying enemy…

Research shows that when school professionals--such as administrators, teachers, and nurses--communicate with families, students have improved academic achievement and attendance and are less likely to drop out. This article addresses how to improve the effectiveness and efficiency of school-home communication at minimal cost, especially when a…

AI has been introduced into design courses to enhance student learning outcomes, foster creativity, provide personalised learning support and improve design productivity. This study integrated AI tools as a facilitative aid in a creative product design course, focusing on examining students' learning outcomes and the creativity of their final…

Generative AI (GenAI) challenges assessment validity by enabling students to complete tasks without demonstrating genuine capability. In response to this challenge, institutions have developed and implemented various approaches that aim to communicate permissible AI use to students. Familiar examples include the 'traffic light' approach now…

This study explores the potential of OpenAI's ChatGPT-4 (gpt-4-0613) as an automated essay scoring (AES) tool in a trial involving 300 essays from an American university's academic English program placement test. Three prompting strategies (minimal/detailed rubric, require/not require rationale, and with/without scoring examples) were tested for…

Context/Objective: Although the positive role of a growth mindset, defined as the belief that intelligence can be developed through effort, is widely recognized in math learning (Yeager et al., 2019), meta-analysis studies (e.g., Burnette et al., 2023) have revealed that the impact of mindset interventions varies significantly across classroom…

Machine learning-based automatic scoring faces challenges with imbalanced student responses across scoring categories. To address this, we introduce a novel text data augmentation framework that leverages GPT-4, a generative large language model specifically tailored for imbalanced datasets in automatic scoring. Our experimental dataset consisted…

The "Woodock-Johnson V" Symbol Inhibition test is a measure of the inhibiting and updating aspects of executive functioning, developed for administration on the new "Riverside Score"™ digital platform. This paper describes the development of the Symbol Inhibition test, including the test design, norming and validity study data…

The rapid advancement of Conversational AI tools like ChatGPT has sparked polarized debates in academia, particularly around issues of plagiarism, ownership, and bias. Unexamined misconceptions may hinder the effective integration of Conversational AI tools, limiting their potential to stimulate interactive and convergent learning experiences.…

This case study examines the development of a proof-of-concept (PoC) generative artificial intelligence (genAI) model inspired by OpenAI's ChatGPT®, implemented within the Office of Research Administration (ORA) at Emory University. Generative artificial intelligence (genAI) refers to AI models capable of producing human-like text. Specifically,…

Artificial Intelligence (AI) and cutting-edge technology have been incorporated into schooling in recent years and have changed teaching and learning processes across various disciplines. In English language teaching, AI offers innovative solutions to improve learning results by offering individualized and flexible educational opportunities,…

Although extensive research has focused on the perceptual abilities of second language (L2) learners, a significant gap persists in understanding how cognitive functions like phonological short-term memory (PSTM) and nonverbal intelligence (IQ) impact L2 speech perception. This study sets out to investigate the discrimination of L2 English…