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Yuting Mu; Yuqi Gao; Yanmin Zhao – International Journal on E-Learning, 2025
With the increasing use of mobile applications for educational purposes among university students, enhancing the efficiency of mobile instruction and learning is a key concern in higher education. It is, therefore, necessary to explore students' mobile learning habits and to identify the factors that influence their mobile learning to further…
Descriptors: College Students, Student Attitudes, Handheld Devices, Computer Oriented Programs
Dastane, Omkar; Haba, Herman Fassou – International Journal of Information and Learning Technology, 2023
Purpose: The purpose of the study is to identify drivers of mobile massive open online course (MOOC) continuous intention (CI) through the lenses of customer perceived value (CPV) theory. Consumer choice is successfully explained by CPV, but lesser attention is given to linking the theory to the mobile MOOC context whereby the majority of theories…
Descriptors: MOOCs, Intention, Electronic Learning, Educational Benefits
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
Yumeng Zhu; Xuesong Zhai; Yan Li – British Journal of Educational Technology, 2025
Video apps are widely used by children worldwide. However, concerns have been raised about children's personal data disclosure and privacy risks during their consumption of video apps. This study designed and validated a conceptual model for children's continuance intention to use video apps based on privacy calculus theory and Teen Online Safety…
Descriptors: Middle School Students, Intention, Technology Uses in Education, Video Technology
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
Faozi, Ferdinand Hanif; Handayani, Putu Wuri – Electronic Journal of e-Learning, 2023
The purpose of the research is to analyze the factors that influence the continuance intention to use Mobile-Assisted Language Learning (MALL) applications in the context of language courses in Indonesia. The study aims to understand the key factors that contribute to users' intention to continue using MALL applications, particularly in the…
Descriptors: Computer Assisted Instruction, Second Language Learning, Foreign Countries, Intention
Silvia Lizett Olivares-Olivares; Miriam Lizzeth Turrubiates Corolla; Juan Pablo Nigenda Alvarez; Natalia Mejía Gaviria; Mariana Lema-Velez; Miguel Angel Villarreal Rodríguez; Luis Carlos Franco Ayala; Elena María Trujillo Maza; Isabel Barriga Cosmelli; Klaus Puschel Illanes – Journal of Applied Research in Higher Education, 2024
Purpose: Professional Identity Formation is the dynamic evolution to "think, act and feel" to become part of a professional community. This document presents the development and the study that aimed to assess the usability of a m-Learning Identity App (MLIA) focused on the formation of professional identity among undergraduate medical…
Descriptors: Professional Identity, Computer Oriented Programs, Telecommunications, Handheld Devices
Nguyen, Vinh T. – Education and Information Technologies, 2022
The purpose of this study was to investigate the perceptions of users about using digital detox applications and to display relationships among personality traits and technology-related variables. This study was designed using survey approach and employed Generalized Structured Component Analysis (GSCA). As such, 11 hypotheses were constructed and…
Descriptors: Social Media, Personality Traits, Computer Oriented Programs, Behavior
Al-Rahmi, Ali Mugahed; Al-Rahmi, Waleed Mugahed; Alturki, Uthman; Aldraiweesh, Ahmed; Almutairy, Sultan; Al-Adwan, Ahmad Samed – Education and Information Technologies, 2022
Mobile-learning (M-learning) apps have grown in popularity and demand in recent years and have become a typical occurrence in modern educational systems, particularly with the deployment of M-learning initiatives. The key objective of this study was to reveal the key factors that impact university students' behavioural intention and actual use of…
Descriptors: Electronic Learning, Computer Oriented Programs, College Students, Intention
Salah A. M. Ahmed; Mohammed A. E. Suliman; Abdo Hasan AL-Qadri; Wenlan Zhang – Journal of Applied Research in Higher Education, 2024
Purpose: This study aims to improve the Unified Theory of Acceptance and Use of Technology (UTAUT) model by examining technological anxiety and other influential factors on international students' adoption of mobile learning (m-learning) during COVID-19 emergency remote teaching (ERT). Design/methodology/approach: This study utilized the modified…
Descriptors: Intention, Technology Uses in Education, Computer Oriented Programs, Foreign Students
Xinyi Wang; Xiaofan Yu – SAGE Open, 2024
Although learning with mobile educational applications (apps) has become popular in higher education, the factors accounting for students' voluntary continuous usage have not yet been investigated fully. This study aims to understand art students' continuance intention by combining the "expectation-confirmation model" ("ECM")…
Descriptors: Art Education, Student Attitudes, Stress Variables, Value Judgment
Hüseyin Ates; Rabia Meryem Yilmaz – Interactive Learning Environments, 2024
This study was conducted to understand pre-service and in-service teachers' intentions to use mobile-based assessment in classes by integrating theory of planned behaviour, technology acceptance model, and self-determination theory into one conceptual framework. Data were analysed using the structural equation model (SEM). Results of SEM from a…
Descriptors: Teacher Behavior, Intention, Handheld Devices, Telecommunications
Cheng Wei Lim; Kong Yen Liew; Sie Hui Lim; Manraj Singh Cheema; Puteri Suhaiza Sulaiman; Hanis Hazeera Harith; Hasni Idayu Saidi; Chau Ling Tham – International Journal of Educational Technology in Higher Education, 2024
The high cost of establishing a cell and tissue culture facility has denied students an opportunity to practice proper aseptic techniques during their studies. An in-house application named AsepticTech Virtual Reality (VR) was developed to simulate a cell and tissue culture facility for students to train their aseptic techniques virtually.…
Descriptors: Student Attitudes, Science Instruction, Teaching Methods, Cytology
Gedrimiene, Egle; Celik, Ismail; Mäkitalo, Kati; Muukkonen, Hanni – Journal of Learning Analytics, 2023
Transparency and trustworthiness are among the key requirements for the ethical use of learning analytics (LA) and artificial intelligence (AI) in the context of social inclusion and equity. However, research on these issues pertaining to users is lacking, leaving it unclear as to how transparent and trustworthy current LA tools are for their…
Descriptors: Learning Analytics, Accountability, Trust (Psychology), Artificial Intelligence
Alejandro Álvarez-Marín; J. Ángel Velázquez-Iturbide; Mauricio Castillo-Vergara; Christian Acuña-Opazo – Innovations in Education and Teaching International, 2025
This study explores the moderating role of aesthetics and information quality on the technological acceptance of augmented reality. A technology acceptance model with the following variables was used: perceived ease of use, perceived usefulness, attitude towards using, and behavioural intention to use. Analysis was conducted by using structural…
Descriptors: Physical Environment, Computer Simulation, Synthesis, Simulated Environment
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