To Brian Sutton-Smith's catalogue of seven play rhetorics in his influential work, "The Ambiguity of Play," the author adds an eighth category--the rhetoric of computational play, connecting the research field of game studies with other forms of play studies. By proposing this rhetoric, Sicart seeks to consolidate the relation between…

Background: Integrating large language models (LLMs), such as ChatGPT, into speech-language pathology (SLP) presents promising opportunities and notable challenges. While these tools can support diagnostics, streamline documentation and assist in therapy planning, they also raise concerns related to misinformation, cultural insensitivity,…

Background: People with laryngectomy who use a tracheoesophageal voice prosthesis for communication experience changes to respiratory function resulting in reduced breath support and increased secretions. This impacts tracheoesophageal voice quality and volume. Expiratory muscle strength training (EMST) is an effective treatment for cough…

Research shows that targeted interventions for language comprehension and production benefit the development of English language proficiency and literacy skills of English Learner (EL) students. Despite this, many ELs in the United States do not receive such academic support, as few programs are designed to address the needs of ELs. Educational…

Present study investigates the motives that pre-service computer education and instructional technologies (CEIT) teachers employ while deciding on the level, type, way of engagement with and the length of YouTube videos that they watch. The investigation is based on the various demographic variables such as gender and content creation status.…

Collaborative Problem Solving (CPS) is a vital 21st-century skill that integrates social and cognitive processes to achieve shared goals. Despite its importance, understanding how communication dynamics shape individual learning outcomes in CPS tasks remains a challenge, particularly in virtual settings. To address this gap, this study analyzes…

Early identification of student success is crucial for enabling timely interventions, reducing dropout rates, and promoting on-time graduation. In educational settings, AI-powered systems have become essential for predicting student performance due to their advanced analytical capabilities. However, effectively leveraging diverse student data to…

This study explores the use of webcam-based eye tracking during a learning task to predict and better understand neurodivergence with the aim of improving personalized learning to support diverse learning needs. Using WebGazer, a webcam-based eye tracking technology, we collected gaze data from 354 participants as they engaged in educational…

This study investigates the capabilities of Large Language Models to simulate counselling clients in educational role-plays in comparison to human role-players. Initially, we recorded role-playing sessions, where novice counsellors interacted with human peers acting as clients, followed by role-plays between humans and clients simulated by…

Many universities utilized a reactive, piecemeal approach to adapt and rapidly reopen schools at the onset of the COVID-19 pandemic. Although schools were able to resume classes online relatively quickly, there was limited time to explore best practices for an optimal online learning environment. The pandemic exposed significant issues in the…

Research reports that interesting but irrelevant information, seductive details, in teaching material can impede learning. In science education, the inclusion of historical narratives in lessons to promote interest has been recommended but may hinder learning. This study examines the impact of seductive details on UK high school students'…

Student attendance declined during the COVID-19 pandemic and has not recovered to pre-pandemic levels. There is little evidence explaining the decline. This study examines the role of remote learning. In Michigan, compared to students never provided with remote-only learning in 2020-21, students provided with remote-only learning for 1-2 months…

Digital adoption has increasingly been seen as a key driver for accelerating human development. However, contextual factors affect digital adoption in a particular geographical setting. These factors have gendered differences due to systemic patriarchy and social stereotypes. There is limited scholarship on identifying such factors and gender…

This paper investigates a flipped classroom teaching model that integrates deep learning into the design of college physical education instruction. By adjusting the time schedule inside and outside the classroom, the model shifts the focus of teaching to students, and the teacher's role changes from knowledge transmitter to learning guide. The…

The aim of this study is to examine the effect of Micro:bit applications with the participation of 6th grade students on students' attitudes towards coding. In addition participants' opinion regarding Micro:bit applications were examined. In this quantitative study, six-week applications with Micro:bit coding content were carried out using the…