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Yu-An Chen; Hiu Lam Leung; Shoko Miyamoto – International Journal of Language & Communication Disorders, 2025
Background: Stuttering, a neurodevelopmental disorder, remains widely misunderstood in China. While Chinese social media platforms like Douyin are increasingly used for health information, no studies have evaluated the quality of stuttering-related content online, particularly for this stigmatized condition. Aims: This study aims to review and…
Descriptors: Stuttering, Video Technology, Social Media, Value Judgment
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Linna Hu; Mardelle McCuskey Shepley – International Journal of Technology and Design Education, 2025
With a focus on the evaluation of conceptual product designs presented in the form of renderings, this paper describes an eye-tracking study in which gaze metrics, design ratings, and overall rankings of designs were measured. To explore the rationales behind fixational eye movements and numeric evaluation outcomes, additional qualitative data…
Descriptors: Merchandise Information, Marketing, Biofeedback, Eye Movements
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Jesús J. Cambra-Fierro; María Fuentes Blasco; María-Eugenia Eugenia López-Pérez; Andreea Trifu – Education and Information Technologies, 2025
Rapid technological advancements of recent decades have fueled, among other aspects, a global boom in the utilization of artificial intelligence (AI) tools across a variety of areas. Higher education, like other domains, has embraced these innovations, with ChatGPT emerging as one of the latest additions. Faculty perception, ability, and…
Descriptors: Educational Technology, Artificial Intelligence, College Faculty, Teacher Attitudes
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Jamal Kay B. Rogers; Romel P. Salazar; Mark Van M. Buladaco – Journal of Education and Learning (EduLearn), 2025
The popularity of online learning gives rise to learning management system (LMS) development as a central medium of instruction, communication, assessment, and collaboration for flexible learning. However, different LMS platforms present different acceptability to users, making it challenging for educational institutions to choose a platform for…
Descriptors: Learning Management Systems, Technology Uses in Education, College Students, Value Judgment
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Thanh Huong Nguyen; Do Anh Tu Ha – Educational Process: International Journal, 2025
Background/purpose: The study addresses the lack of clear policies and ethical concerns surrounding AI use in Vietnamese universities, where debates continue over balancing AI's benefits with risks of academic misconduct. This study seeks to investigate determinants of students' use of AI-powered study tools, by applying the Theory of Planned…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Intention
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Yu-xi Wang; Li-ping Chen; Jia-yin Han – Education and Information Technologies, 2024
The study of students' willingness to use translation technology can motivate students to use the translation technology and improve their translation efficiency. This paper reports on a survey which collected 716 valid questionnaires from students in the Master-level Program in Translation and Interpreting. Structural equation modeling (SEM) was…
Descriptors: Student Attitudes, Graduate Students, Translation, Information Technology
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I-Hsiung Chang; Pi-Chun Hsu; Ru-Si Chen – Education and Information Technologies, 2024
This study investigates how trust influences parents' satisfaction with parenting apps. The study demonstrates that social ties and perceived value act as mediators between trust and user satisfaction. A questionnaire was conducted in Taiwan to test parents' perceptions of parenting apps, focusing particularly on user satisfaction and related…
Descriptors: Foreign Countries, Satisfaction, Trust (Psychology), Parent Attitudes
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Chenxi Liu; Ana-Paula Correia; Young Min Kim – Educational Technology Research and Development, 2025
Mobile learning can positively impact learning in different aspects, but the retention rate of mobile learning applications could be better. Based on the Technology Acceptance Model and the updated DeLone and McLean Information System Success Model, this study develops a novel model to examine the determinants of learners' acceptance of mobile…
Descriptors: Telecommunications, Handheld Devices, Technology Uses in Education, Learning Activities
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Tony Robinson – Journal of Educational Technology, 2025
Generative artificial intelligence (AI) is increasingly transforming higher education by enhancing teaching methodologies, automating administrative tasks, and supporting research initiatives. Faculty adoption of generative AI is crucial for maximizing its potential benefits; however, its acceptance remains inconsistent due to factors such as…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Technology Integration
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Saeed Alzahrani; Anish Kumar Bhunia – Educational Process: International Journal, 2025
Background/purpose: The present study utilizes an integrated theoretical framework that integrates the Theory of Planned Behaviour, Technology Acceptance Model, and Value-Based Adoption Model to explore the effects of Digital Literacy (DL) on the behavioral intention of the Saudi Generation Z students toward adopting Fintech (FAI). It emphasizes…
Descriptors: Foreign Countries, Technology Integration, Educational Technology, Technological Literacy
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Yi Chen; Honghe Gao – SAGE Open, 2025
Against the backdrop of rapid advancements in information technology, Information and Communication Technology (ICT) has been widely applied in art education. Whether teachers accept and use these tools largely depends on their digital literacy. This study explores how teachers' digital literacy influences their ICT integration intention based on…
Descriptors: Technological Literacy, Technology Uses in Education, Art Education, Technology Integration
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Ben Siu; John White – British Educational Research Journal, 2025
This study employs the Technology Readiness and Acceptance Model to uncover the factors influencing university students' intentions to adopt generative artificial intelligence (AI) technologies in higher education. With the rapid integration of Generative AI into academic contexts, understanding what drives students' intention to use these tools…
Descriptors: Technology Uses in Education, Artificial Intelligence, College Students, Student Attitudes
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Mohammad Husam Alhumsi – Technology in Language Teaching & Learning, 2025
Several higher educational institutions have employed Learning Management Systems. The Blackboard Collaborate system, featured as one of the technological instructional systems, is an example of considerable and outstanding Learning Management Systems utilized by most universities. Nevertheless, literature revealed that there is a missing…
Descriptors: Foreign Countries, Learning Management Systems, Technology Uses in Education, Student Attitudes
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Caleb Or – International Journal of Technology in Education and Science, 2024
The Technology Acceptance Model (TAM), proposed by Fred Davis in 1986, is a foundational framework for understanding technology adoption, emphasizing Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) as key determinants of Intention to Use (ITU). While Attitude Toward Using (ATU) was initially central to TAM, it was later omitted in…
Descriptors: Attitudes, Technological Literacy, Usability, Value Judgment
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Pengfei Yang; Shaowen Qian – SAGE Open, 2025
E-learning has revolutionized the educational landscape, changing how knowledge is imparted to students and enhancing the learning process. Despite the growing popularity of e-learning worldwide, a lingering question remains regarding the behavioral intentions of Physical Education students toward its use. This study endeavors to address this…
Descriptors: Foreign Countries, Physical Education, Intention, Electronic Learning
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