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Sun Kyung Kim; Youngho Lee; Hye Ri Hwang; Oe Nam Kim – Journal of Computer Assisted Learning, 2025
Background: Comprehensive assessment of skills and performance are necessary to improve the quality of care in nursing education. Various factors pose challenges to accurate assessments, including high student-teacher ratio and observer bias. Objectives: To establish an assessment system based on first-person video of smart glasses and validate…
Descriptors: Handheld Devices, Technology, Video Technology, Evaluation Methods
Chenxi Liu; Yixi Wang; Marvin Evans; Ana-Paula Correia – Education and Information Technologies, 2024
Mobile learning has gained significant recognition for its beneficial effects on learning across various dimensions. Nonetheless, ensuring consistent learner acceptance of mobile learning remains a critical factor to address. This meta-analysis study is the first comprehensive examination of critical antecedents impacting learners' perceived…
Descriptors: Handheld Devices, Telecommunications, Electronic Learning, Usability
Yuyu Chen; Yuntao Zou – European Journal of Education, 2024
This research paper focuses on the adoption of multi-perspective theory to study teachers' attitudes and intentions towards using intelligent mixed reality (MR) devices for classroom behaviour analysis. The research model integrates TRI (Technology Readiness Index), IDT (Innovation Diffusion Theory), ECM (Expectation Confirmation Theory) and TAM…
Descriptors: Teacher Attitudes, Educational Quality, Intention, Artificial Intelligence
Xiao Xu – Discover Education, 2025
A crucial need for a comprehensive understanding and assessment of mobile learning readiness exists in light of most adult learners' lack of preparedness for mobile learning. This study developed a seven-factor mobile learning readiness construct and crafted a 26-item scale integrating the Technology Acceptance Model, Unified Theory of Acceptance…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education
Kukreja, Vinay; Jain, Anuj Kumar; Singh, Amitoj; Kaushal, Rajesh Kumar; Aggarwal, Arun – Education and Information Technologies, 2023
Context: In the children's education process, not only children but parents, educators, and teachers are using touchscreen technology-enabled contrivances for better quality of life. Every stakeholder has their perspective on the usage of touchscreen contrivances. A lot of moderators and critical factors affect this perception. Objective: To…
Descriptors: Early Childhood Education, Technology Uses in Education, Educational Technology, Handheld Devices
Hugo Heredia-Ponce; Manuel Francisco Romero-Oliva; Ester Trigo-Ibáñez – Journal of Technology and Science Education, 2024
The use of smart mobile devices and the integration of social networks into the educational setting is a reality that has been widely studied by the research community. Their integration into the educational environment has increased following the declaration of the COVID-19 pandemic. In light of the need to explore the conceptions of future…
Descriptors: Digital Literacy, Technology Uses in Education, Handheld Devices, Social Media
Mohammed Abdullatif Almulla – International Journal of Information and Communication Technology Education, 2024
Mobile learning (M-learning) has become a crucial tool for both students and educators. The unified theory of acceptance and use of technology (UTAUT), the technology acceptance model (TAM), and outside factors were all included in this study's integrative review approach to examine the variables affecting university students' intention to use…
Descriptors: Handheld Devices, Computer Oriented Programs, Educational Technology, Undergraduate Students
Aadi Swadipto Mondal; Yuang Zhu; Kaushal Kumar Bhagat; Nasser Giacaman – Interactive Learning Environments, 2024
The aim of this study is to investigate the public opinion (i.e., the learners themselves) of apps incorporating emerging technologies Augmented Reality (AR) and Virtual Reality (VR) and find out how satisfied mobile platform users are with these technologies for educational purposes. We performed sentiment analysis of more than one million…
Descriptors: Educational Technology, Technology Uses in Education, Computer Oriented Programs, Computer Simulation
Mohammed A. E. Suliman; Wenlan Zhang; Kamal Abubker Abrahim Sleiman – Innovations in Education and Teaching International, 2024
This study set out to determine what variables led students to choose mobile learning during COVID-19 and to study the direct impact of the perceived fear of COVID-19 (PCF) on undergraduate learners' intentions to adopt m-learning in developing countries such as Sudan. It utilizes the Technology Acceptance Model (TAM) as a foundation and uses PCF…
Descriptors: Educational Technology, Technology Uses in Education, Telecommunications, Handheld Devices
Saja Wardat; Mohammed Akour – Smart Learning Environments, 2024
This research explores the key motivating factors that influence student engagement with wearable technology (WT) in teaching English to speakers of other languages (TESOL) education. The study employs a novel, integrated framework that merges elements from the established technology acceptance model (TAM), Flow Theory, and additional factors…
Descriptors: Technology Uses in Education, English (Second Language), Second Language Instruction, Educational Technology
Ethan P. McNaughton; Liam Bilbie; Matea Zuljevic; Lauren K. Allen; Daiana-Roxana Pur; Roy Eagleson; Sandrine Ribaupierre – Anatomical Sciences Education, 2025
In this article, we introduce a new virtual application that offers an interactive model of the brain for neuroanatomy education. Through a dual-platform architecture, the application can be downloaded on both desktop and mobile devices, with the mobile app leveraging unique capacities of modern handheld systems to deploy the brain model in…
Descriptors: Undergraduate Students, Anatomy, Brain, Science Instruction
Al-Emran, Mostafa; Al-Maroof, Rana; Al-Sharafi, Mohammed A.; Arpaci, Ibrahim – Interactive Learning Environments, 2022
Wearable technologies are becoming more pervasive with the development of high computational capability devices such as smartwatches, smart glasses, smart pills, and sensors. The emergence of these technologies may offer unique opportunities for both students and academics by allowing ubiquitous communication. Accordingly, the current study…
Descriptors: Educational Technology, Assistive Technology, Technology Uses in Education, Handheld Devices
Mills, Michael S.; Watson, Jessica Herring; Miller, Rachelle; Morrison, Mia – SRATE Journal, 2022
The focus of this research was measuring the effect of Twitter use in the classroom on students' acceptance of technology using the TAM-3 model. This mixed methods study revealed a significant effect from students' use of Twitter in classroom assignments not only on increasing candidates' view of Twitter as being useful, easy to use, and relevant…
Descriptors: Social Media, Technology Uses in Education, Telecommunications, Handheld Devices
Mwalukasa, Nicholaus – International Journal of Education and Development using Information and Communication Technology, 2023
This study aimed to investigate the use of mobile phones as a learning tool among postgraduate students at Sokoine University of Agriculture. The study adopted a cross-sectional research design. The sample size was 120 respondents selected through the stratified sampling technique and data were collected using structured questionnaires.…
Descriptors: Universities, Agricultural Education, Telecommunications, Handheld Devices
Artis C. Street – ProQuest LLC, 2024
The purpose of this research is to evaluate the use of and the attitude towards smartphone technology for in school and remote learning by urban high school students to reduce digital inequalities. High school students use smartphone technology in today's society as an integral part of their lives. Yet the majority of the large school districts in…
Descriptors: High School Students, Urban Schools, Student Attitudes, Technology Uses in Education