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Paraskevi Theodorou; Kleomenis Tsiligkos; Apostolos Meliones – Journal of Visual Impairment & Blindness, 2024
Introduction: Despite the plethora of sensor-based assistive technology solutions, there is still no widespread acceptance and adoption by people who are blind or have low vision (i.e., visually impaired). Many reasons prevent reducing abandonment levels with a prominent one being a lack of focus on the dimension of training, which, from our…
Descriptors: Assistive Technology, Telecommunications, Handheld Devices, Visual Impairments
Laila Ayaichi; Aziz Amaaz; Abderrahman Mouradi – Journal of Baltic Science Education, 2025
Augmented Reality (AR) is an emerging technology with strong potential to enhance the educational value of physics lab work. However, its integration in higher education remains inconsistent, often hindered by students' limited prior experience and varying levels of acceptance. This study investigates the factors influencing students' intention to…
Descriptors: Computer Simulation, Telecommunications, Handheld Devices, Physics
María García de Blanes Sebastián; José Ramón Sarmiento Guede; Alberto Azuara Grande; Antonio Ferrao Filipe – Education and Information Technologies, 2025
During COVID-19 pandemic, Mobile learning (M-learning) was implemented in many universities to continue teaching. Consequently, its use has increased drastically, facing new challenges and benefits. The main aim of this research is to adopt the Unified Theory of Acceptance and Use of Extended Technology (UTAUT-2) to determine the intention of…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education
Hui-Tzu Hsu; Chih-Cheng Lin – Journal of Computer Assisted Learning, 2024
Background: Behavioural intention (BI) has been predicted using other variables by adopting the technology acceptance model (TAM). However, few studies have examined whether BI can predict learning performance. Objectives: The present study used an extended TAM to investigate whether students' BI is a predictor of their listening learning…
Descriptors: Intention, Vocabulary Development, Handheld Devices, College Students
Ikhsan, Ridho Bramulya; Prabowo, Hartiwi; Yuniart; Simamora, Bachtiar; Ruan, Ximing; Kumar, Vikas – Journal of Educators Online, 2023
A mobile learning management system (mobile LMS) facilitates the interaction between lecturers and students to transfer knowledge flexibly. With the high possibility of universities adopting a mobile LMS into their learning systems, predicting student acceptance of mobile LMS is critical. Based on an extension of the unified theory of acceptance…
Descriptors: Foreign Countries, Electronic Learning, Distance Education, College Students
Locklair, Oliver – ProQuest LLC, 2022
The purpose of the current study was to employ the technology acceptance model to determine the relationship between perceived ease of use, perceived usefulness, and behavioral intention to use mobile learning technology among undergraduate students in the United States. Before technological systems can provide organizational value, they must be…
Descriptors: Information Technology, Telecommunications, Handheld Devices, Correlation
Nadia A. Abdelmegeed Abdelwahed; Bahadur Ali Soomro – Education & Training, 2023
Purpose: Mobile learning has emerged as one of the main methods for training and academic activities in the present era. It is, also, highly relevant in the wake of the COVID-19 pandemic whereupon digitization of mobile learning has made it possible for many students to continue with their education. This study investigated attitudes and…
Descriptors: Handheld Devices, Electronic Learning, COVID-19, Pandemics
Shuxia Yang; Rui Wang; Bing Mei – Interactive Learning Environments, 2024
Given the paucity of research on mobile-assisted language learning (MALL) in secondary schools in China, this retrospective case study explored the psychological processes underlying the non-voluntary MALL experiences of Chinese secondary school students during a lockdown to contain the spread of COVID-19. Drawing on prior technology acceptance…
Descriptors: Foreign Countries, Student Attitudes, Telecommunications, Handheld Devices
Kolil, Vysakh Kani; Achuthan, Krishnashree – Education and Information Technologies, 2023
Synthesizing the advancements in technology with classroom practices depends considerably on teachers acceptance of such internet and communication technology (ICT) tools. Adequate teacher training and upgrading of their IT skills are not prioritized in developing economies leading to poor adoption of emerging technology assisted pedagogic…
Descriptors: Longitudinal Studies, Teacher Attitudes, Technology Uses in Education, Virtual Classrooms
Ünal, Erhan; Güngör, Fatih – Asian Journal of Distance Education, 2021
Recently, mobile learning has become a potential approach in education due to its use inside and/or outside the classroom. Considering that the majority of mobile device users are 18-29 years old higher education students and English is the predominant language of the internet, this study aimed to predict the continuance intention of users toward…
Descriptors: Intention, Electronic Learning, Handheld Devices, Educational Technology
Nikolopoulou, Kleopatra; Gialamas, Vasilis; Lavidas, Konstantinos – Education and Information Technologies, 2020
Mobile phone is increasingly widespread among University students, while different factors can affect students' behavior towards the use and acceptance of mobile technology. One of the methods to measure these factors is the Unified Theory of Acceptance and Use of Technology (UTAUT). The purpose of this study was to evaluate the Behavioral…
Descriptors: College Students, Student Attitudes, Handheld Devices, Technology Uses in Education
Amal Ibrahim Alomran – ProQuest LLC, 2020
The purpose of the current study was to confirm or dismiss Saudi students' behavioral intention with regard to using smartphone applications for learning purposes. A quantitative, non-experimental survey research design and descriptive research conducted on the determinants -performance expectancy, effort expectancy, and social influence- that…
Descriptors: Foreign Countries, Student Behavior, Intention, Telecommunications
Arthur-Nyarko, Emmanuel; Gyan, Stephen Brobbey; Asante, Alexander – International Journal of Learning Technology, 2021
This study investigated the determinants of students' behavioural intention (BI) to use mobile learning management systems (M-LMS) in a blended distance learning environment. The study was undertaken at the College of Distance Education (CoDE) of the University of Cape Coast (UCC) in Ghana. Using a predictive correlational design, a 28-item…
Descriptors: Foreign Countries, Student Behavior, Intention, Integrated Learning Systems
Karabiyik, Ceyhun; Baturay, Meltem Huri; Özdemir, Muzaffer – Participatory Educational Research, 2021
Learning and teaching is fostered to a great deal by technology. Cell phones and internet can be utilized as effective tools in providing extended and diversified learning opportunities as well as promoters of learning and teaching. However, early internet-enabled cell phones or more recent smartphones have also become easily accessible avenues of…
Descriptors: Intention, Student Attitudes, Student Behavior, Behavior Standards
Yu, Chen-Wei; Chao, Cheng-Min; Chang, Che-Fu; Chen, Rueg-Juen; Chen, Po-Chung; Liu, Yi-Xuan – SAGE Open, 2021
This study developed and empirically tested a model to predict the factors affecting patients' behavioral intentions to use a mobile health education website. It explored the behavioral intention to use a mobile health education website from the perspective of consumers by extending the Unified Theory of Acceptance and Use of Technology 2 model…
Descriptors: Intention, Web Sites, Usability, Users (Information)

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