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Schneier, Joel – Written Communication, 2023
Current cognitive and sociocognitive models of writing conceptualize writing processes as complex interactions between multidimensional mechanisms that activate a writer's social motivations, psychomotor processes, and cognitive resources in order to engage in writing. These models have been developed through years of empirical research employing…
Descriptors: Writing (Composition), Telecommunications, Handheld Devices, Writing Processes
Aleksandra Kobicheva; Elena Tokareva; Tatiana Baranova – European Journal of Psychology of Education, 2025
Phubbing is not only a consequence of technological advancements but also represents an entirely novel aspect of social conduct, impacting students' academic performance and the sustainability of development. The purpose of the study is to identify the relationship between students' level of phubbing, academic engagement and academic performance…
Descriptors: Student Behavior, Learner Engagement, Computer Use, College Students
Lesley J. Turner; Oded Gurantz – Education Finance and Policy, 2025
College attendance has increased significantly over the last few decades, but dropout rates remain high, with fewer than half of all adults ultimately obtaining a postsecondary credential. This project investigates whether one-on-one college coaching improves college attendance and completion outcomes for former state aid recipients identified as…
Descriptors: Reentry Students, Coaching (Performance), College Students, Attendance
Qing Wang; Hongfei Xiao; Hao Yin; Jiamin Wei; Shuo Li; Baoguo Shi – Journal of Creative Behavior, 2025
Creativity is an essential skill that is at the heart of 21st-century education. Mobile phone use occupies considerable amounts of time in people's lives and may influence creativity. However, few studies have linked mobile phone dependence (MPD) to adolescents' domain-specific creativity (science and art). This study investigated the relationship…
Descriptors: Creativity, Telecommunications, Handheld Devices, Addictive Behavior
Barathan Selvam; Grace Annammal Gnana Piragasam – British Journal of Special Education, 2025
The increasing use of mobile devices in educational settings is mainly attributable to the significant contributions made by technological advancements. These devices now make it possible to incorporate mobile applications, such as augmented reality (AR), in order to provide students with learning disabilities with assistance in improving their…
Descriptors: Students with Disabilities, Writing Skills, Learning Disabilities, Telecommunications
Radka Nacheva – Acta Educationis Generalis, 2025
Introduction: Over 1 billion people worldwide have disabilities, necessitating their inclusion in health systems and workplaces. Artificial intelligence (AI) is revolutionizing accessibility and digital inclusion for these individuals, improving everyday tasks and enabling autonomous mobility. AI can be applied to visually impaired, reduced…
Descriptors: Students with Disabilities, Artificial Intelligence, Access to Computers, Educational Technology
Raganeswari Ramasamy; Mariam Mohamad; Mageswaran Sanmugam; Hooi Chee Mei – Malaysian Journal of Learning and Instruction, 2025
Purpose: Mobile learning has several applications that can be advantageous in the field of education. They play a significant role in technology assisted learning. Employing mobile learning in teaching writing skills offers communication, collaboration, and fun learning. It also creates a conducive learning environment among the students.…
Descriptors: Telecommunications, Handheld Devices, Technology Uses in Education, Secondary School Students
Joshua Anbar; Maurice Metoyer; Christopher J. Smith; Nicole L. Matthews – Journal of Autism and Developmental Disorders, 2025
Purpose: Most assessment tools used to diagnose and characterize autism spectrum disorder (ASD) were developed for in-person administration. The coronavirus disease 2019 (COVID-19) pandemic resulted in the need to adapt traditional assessment tools for online administration with only minimal evidence to support validity of such practices. Methods:…
Descriptors: Intelligence Tests, Autism Spectrum Disorders, Scores, Computer Assisted Testing
Chorng-Shiuh Koong; Chih-Hung Chen; Yu-Tzu Chen; Gwo-Haur Hwang – Journal of Computer Assisted Learning, 2025
Background: Rhythm is the fundamental element of music and one of the indispensable aspects of training in music education, making it highly valued. However, due to the limitations of teaching hours and the large number of students in each class, it is difficult to foster the rhythm ability of elementary school students. Objectives: Hence, this…
Descriptors: Music Education, Telecommunications, Handheld Devices, Teaching Methods
Iva Sarifah; Ahmad Muhajir; Arita Marini; Gusti Yarmi; Desy Safitri; Leola Dewiyani – Journal of Education and Learning (EduLearn), 2025
This study aims to develop a mobile game using the QuizWhizzer application to improve fifth graders' learning interest in mathematics at Kalibata 04 Elementary School, South Jakarta, Indonesia. The contribution of this study is to enhance the interest in mathematics learning for students in all elementary schools in South Jakarta, Indonesia. This…
Descriptors: Telecommunications, Handheld Devices, Grade 5, Student Interests
Danyang Zhang; Sara Hennessy; Pascual Pérez-Paredes – Computer Assisted Language Learning, 2025
The enormous importance of second language learning, paired with the rapid development of mobile-assisted language learning, has led to the increasing use of mobile dictionaries by English as a Foreign Language (EFL) learners at Chinese universities. Although many studies have explored the role of dictionaries in English language learning, few…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Dictionaries
Michael R. Langlais; Ashley Thaler; Elizabeth West – Youth & Society, 2025
TikTok use has grown rapidly since the COVID-19 pandemic, especially among adolescents. The goal of this study is to understand how and why teenagers use TikTok and how teenagers perceive these behaviors and motivations as contributing to their mental well-being. This qualitative, descriptive study involved interviewing teenagers one-on-one via…
Descriptors: Adolescents, Social Media, Handheld Devices, Telecommunications
Liliana Wagner; Tori Foster; Kemberlee Bonnet; Anna Kathleen Spitler; David Schlundt; Zachary Warren – Autism: The International Journal of Research and Practice, 2025
Accurate identification of autism is a pressing challenge for rural, medically underserved communities. Tele-assessment could address some barriers to care by increasing access to expert diagnosticians, but questions remain regarding how best to implement these approaches. To gather community input regarding rural families' perceptions and use of…
Descriptors: Rural Areas, Autism Spectrum Disorders, Family Attitudes, Evaluation Methods
Carolyn A. Berry; Courtney Abrams; Margaret M. Paul; Rachel E. Massar; Kayla M. Fennelly; Beth C. Weitzman – American Journal of Evaluation, 2025
Qualitative interviews and focus groups are commonly used methods to elicit participants' voices in program evaluations. However, the use of these data-gathering methods can fall short of the goal; even with open-ended questions, the protocols guiding and shaping interviews and focus groups heavily reflect the evaluators' understanding and…
Descriptors: Program Evaluation, Photography, Visual Aids, Interviews
Dhatri Pandya; Keyur Rana; Aditi Padhiyar – Education and Information Technologies, 2025
With the advent of closed-circuit television systems (CCTV) in the era of technology, a massive amount of video data is generated daily. CCTV are installed at several educational institutions to monitor students' behavior and ensure their safety. Human activity monitoring is done manually. Abnormal human actions refer to rare or unusual actions in…
Descriptors: Technology Uses in Education, Handheld Devices, Telecommunications, Classroom Environment

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