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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
Design and Validation of a Usability Evaluation Questionnaire (UEQ) for Mobile Learning Applications
Bimal Aklesh Kumar; Sailesh Saras Chand – Interactive Technology and Smart Education, 2024
Purpose: Usability is one of the key concerns in the development of mobile learning applications. The aim of this paper is to design and validate a usability evaluation questionnaire (UEQ) for mobile learning applications. Design/methodology/approach: The UEQ was developed in four stages: selecting primary studies and extracting usability…
Descriptors: Questionnaires, Design, Usability, Electronic Learning
Bimal Aklesh Kumar; Sailesh Saras Chand; Munil Shiva Goundar – International Journal of Information and Learning Technology, 2024
Purpose: Mobile learning has seen tremendous growth over the years. Like any other software application, usability is one of the key concerns in its successful implementation. There is a lack of study that provides a comprehensive overview of usability testing of mobile learning applications. Motivated by this a mapping study is conducted.…
Descriptors: Usability, Electronic Learning, Computer Software, Computer Oriented Programs
A. Susana Ramírez; Guadalupe Xochitl Ayala; Mary Murillo; Debora C. Glik; Alma D. Guerrero – Health Education & Behavior, 2025
Mobile phone interventions are evidence-based methods for preventing obesity among Latino adults and school-aged children; however, few such interventions exist to improve the obesogenic behaviors of children in the developmentally critical preschool years (ages 2-5). Focusing on this age group is important since over one-quarter of 2- to…
Descriptors: Handheld Devices, Telecommunications, Preschool Children, Child Behavior
Andreas Halman; Alicia Oshlack – Research Synthesis Methods, 2024
A systematic review is a type of literature review that aims to collect and analyse all available evidence from the literature on a particular topic. The process of screening and identifying eligible articles from the vast amounts of literature is a time-consuming task. Specialised software has been developed to aid in the screening process and…
Descriptors: Literature Reviews, Medical Research, Computer Software, Users (Information)
Yanping Geng; Reem Alshahrani; Hana Mohammed Mujlid – European Journal of Education, 2025
The Fuzzy Analytic Hierarchy Process (FAHP) was employed to evaluate and rank language-learning applications based on criteria such as engagement, interactivity, feedback, content quality and usability. A pairwise comparison matrix was constructed, fuzzy logic was applied to convert qualitative judgements into numerical values, and these values…
Descriptors: Second Language Learning, Social Media, Handheld Devices, Computer Software
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
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
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
Ding-Chau Wang; Yong-Ming Huang – Interactive Learning Environments, 2024
Tiny and affordable computers (e.g. Raspberry Pi and Arduino) have been widely applied to technology-enhanced hands-on learning (THL). However, little scholarly attention has been devoted to the key factors behind students' performance in THL contexts. Therefore, this study not only helped the participants learn computer science through THL, but…
Descriptors: Handheld Devices, Self Efficacy, Educational Technology, Computer Science Education