This study centered on Dual Language Learners (DLLs) with specific reading comprehension deficits (S-RCD), that is, with poor reading comprehension despite solid word identification skills. The participants were 209 students in Grades 2-4, including both DLLs and English Monolinguals (EMs) with and without S-RCD. Mean comparisons indicated that…

The purpose of this study was to understand how knowledgeable higher education leaders are about the competencies of emotional and social intelligence. The perceived need to utilize these competencies with subordinates was also explored. The theoretical frameworks of emotional intelligence and social intelligence support this study and consist of…

Researchers have identified high levels of stress among music education students, but we know very little about how students manage this stress and how emotional competence skills might be utilized within stress coping mechanisms for this population. Through this qualitative study, we sought to understand the stress coping strategies of eight…

Information technology provides a lot of convenience for humans in completing their tasks and getting results according to targets. In line with that, language teachers have a duty to find out the level of language skills and forms of language errors in students. Machine Learning as part of technology can be maximized to detect forms of Arabic…

The benefits of musical play in cognitive development have recently received an upsurge of interest in the field of early childhood music education research. This study examines the positive learning transfer from a musical play early-learning system® to cognitive development. Specifically, we investigated the effects of early musically enriched…

Machine Translation (MT) is an engine that accelerates language learning, design creation, and contemporary comprehension of many areas of language and communication based on our qualitative understanding of secondary resources. Arab students regard Arabic as a source language that is afterwards translated into English texts and words in order to…

The objective of the present study is to determine whether there is a significant relationship between the students' readiness in online learning and their emotional intelligence levels. Correlational research method was used in the study. Online Learning Readiness Scale which was developed by Hung et al. (2010) has been used and Trait Emotional…

This systematic review examines 22 studies (2024-2025) on the use of generative AI, primarily ChatGPT, for providing feedback in English writing instruction for language learners. It identifies the types of feedback AI offers, its effectiveness relative to teacher and peer feedback, and perceptions from students and teachers. Findings show AI…

VocQGen is an automated tool designed to generate multiple-choice cloze (MCC) questions for vocabulary assessment in second language learning contexts. It leverages several natural language processing (NLP) tools and OpenAI's GPT-4 model to produce MCC items quickly from user-specified word lists. To evaluate its effectiveness, we used the first…

Amidst the persistent and increasingly visible discrimination and injustice against racially minoritized groups during and after the global COVID-19 pandemic, Canadian higher education has stressed the incorporation of equity, diversity, and inclusion (EDI) into curricular planning and practice. In parallel to the EDI emphasis at the institutional…

This book explores the symbiotic relationship between human learning and machine learning, examining how emerging technologies and human-machine interfaces are reshaping the educational landscape. Organized into four sections with 20 chapters, it provides a multidisciplinary perspective on the dynamic intersection of these twin concepts. Bridging…

The 2025 Graduate Student Recruitment Report is RNL's third national study of the expectations and preferences of America's graduate students. This report provides graduate program leaders and stakeholders with detailed insights into the motivations, expectations, and behaviors of prospective graduate students during the enrollment process. These…

Traditional assessment in international sports communication is often fragmented and subjective, limiting timely, learner-centered feedback. This study presents a curriculum framework enhanced by generative artificial intelligence, coupled with a deep learning (DL) model for instructional effectiveness assessment in international sports…

The 2025 State Educational Technology Directors Association (SETDA) State EdTech Trends Survey explores how the systems, infrastructure, and staffing that digital learning depends on will be sustained, how new flexibilities in federal formula and discretionary funding can be leveraged, what edtech tools are essential, and how to balance innovation…

The Association for the Advancement of Computing in Education (AACE) is an international, non-profit educational organization. The Association's purpose is to advance the knowledge, theory, and quality of teaching and learning at all levels with information technology. "eLearn 2025: World Conference on EdTech since 1996" took place in…