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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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Anshita Chelawat; Richal Tuscano; Roshani Prasad; Seema Sant – International Journal of Learning Technology, 2025
This study aims to explore factors predicting the use of e-learning as a sustainable solution in Indian higher education institutions by employing a modified version of the technology acceptance model (TAM). An online questionnaire (n = 200), capturing post-graduate management students from the Mumbai Metropolitan Region, was analysed using…
Descriptors: Educational Technology, Electronic Learning, Graduate Students, Value Judgment
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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
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Muhammad Ittefaq; Ali Zain; Rauf Arif; Taufiq Ahmad; Laeeq Khan; Hyunjin Seo – Journal of International Students, 2025
GenAI has revolutionized higher education across the globe. One group that is particularly impacted is international students. We examined the factors influencing international students' intentions to use GenAI. We recruited participants studying in the U.S. through an online survey. Our results suggest that attitudes toward GenAI use, PEU, PU,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Foreign Students, Student Attitudes
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Tamba, Georgiana Ioana; Iancu, Ioana – Research in Social Sciences and Technology, 2023
Digital communication is a great facilitator of human connection, positively contributing to life satisfaction and prosocial behavior. However, the existing findings also insist on the drawbacks of the digital communication, as low levels of wellbeing satisfaction, or happiness. Thus, aiming to reconciliate the two sets of assumptions and relying…
Descriptors: Telecommunications, Handheld Devices, Usability, Value Judgment
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Si Xu; Pengfei Chen; Ge Zhang – SAGE Open, 2024
Artificial Intelligence (AI) tools are having a significant impact on the field of education, particularly when used by educators. This study aims to explore the acceptance of AI tools among university-level educators. Researchers adapted the UTAUT2 (Unified Theory of Acceptance and Use of Technology) model to the Chinese educational context and…
Descriptors: Foreign Countries, College Faculty, Teacher Attitudes, Intention
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Liu, Yiming; Sun, Jerry Chih-Yuan; Chen, Ssu-Kuang – Interactive Learning Environments, 2023
This study integrated augmented reality (AR) and three-dimensional (3D) maps into mobile learning for library use instruction. To maximize the benefits of mobile library applications (MLAs), their technology acceptance was examined. Because of the e-learning context, the General Extended Technology Acceptance Model for E-Learning (GETAMEL)…
Descriptors: Computer Simulation, Maps, Telecommunications, Handheld Devices
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Khlaisang, Jintavee; Songkram, Noawanit; Huang, Fang; Teo, Timothy – Interactive Learning Environments, 2023
The current study examines antecedents to teachers' behavioral intentions to use smart technologies in Thailand based on the technology acceptance model. 825 primary school teachers participated in a survey consisting of 11 constructs: perceived usefulness, perceived ease of use, attitude towards use, behavioral intention, peer influence,…
Descriptors: Foreign Countries, Teacher Attitudes, Telecommunications, Handheld Devices
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Roslan, Rosfuzah; Mohd Ayub, Ahmad Fauzi; Ghazali, Norliza; Zulkifli, Nurul Nadwa; Md Latip, Siti Noor Haslina; Abu Hanifah, Siti Syuhada – Journal of Information Technology Education: Research, 2023
Aim/Purpose: The main purpose of this study is to identify the factors affecting the continuance use intention of gamified m-learning applications by Higher Education Institution (HEI) learners in Malaysia. Background: Mobile learning (m-learning) has been a popular choice among learners in HEIs due to its convenient 'on-the-go' concept. On the…
Descriptors: Intention, College Students, Gamification, Educational Technology
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Turan, Zeynep; Kucuk, Sevda; Karabey, Sinem Cilligol – Participatory Educational Research, 2022
This study aimed to investigate the pre-service teachers' behavioural intentions about using gamification tools and the critical factors affecting their usage. The data were collected from 313 pre-service teachers from two large-scale universities in Turkey through a questionnaire with seven constructs: perceived ease of use, usefulness,…
Descriptors: Preservice Teachers, Intention, Educational Games, Student Attitudes
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Ashrafi, Amir; Zareravasan, Ahad; Rabiee Savoji, Sogol; Amani, Masoumeh – Interactive Learning Environments, 2022
In the last decades, universities and higher education institutes have widely employed a learning management system (LMS) to monitor and manage electronic learning and teaching. Contrary to the significant role of LMS in educational settings, most research has focused on initial acceptance, and few attempts have been made to investigate factors…
Descriptors: College Students, Intention, Learning Management Systems, Educational Technology
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Ye, Pinghao; Liu, Liqiong – International Journal of Mobile and Blended Learning, 2021
This research studied the continuous use intention of mobile reading users. The current study used the stimulus-organism-response model as a basis to build a causal model of mobile readers' continuous intention to use it. A questionnaire survey was conducted involving 327 users to obtain the current research data. Structural equation modeling was…
Descriptors: Telecommunications, Handheld Devices, Intention, Technology Uses in Education
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Steverson, Anne; Cmar, Jennifer L.; Antonelli, Karla – Journal of Visual Impairment & Blindness, 2022
Introduction: This article describes the field test of "4to24," a transition application (app) for parents of and students with visual impairments. In this stage of the development process, researchers evaluated the app's usability and gained feedback on app use and experience from end users. Methods: Participants, including 27 parents…
Descriptors: Students with Disabilities, Visual Impairments, Parents, Parent Attitudes
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Su, Chien-Yuan; Hu, Yue; Li, Yu-Hang – International Association for Development of the Information Society, 2019
In recent years, game-based programming tools (GBPTs) such as Code.org, Lightbot, and Cargo-Bot have been developed to help children worldwide better understand programming concepts through an interesting, enjoyable and visualizable programming learning experience. However, in-service teachers' perceptions regarding the use of these game-based…
Descriptors: Game Based Learning, Programming, Teacher Attitudes, Elementary Secondary Education
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Zhou, Sijing; Zhou, Yu; Zhu, Huiling – SAGE Open, 2021
A growing concern for online course learning is to what extent learners are concentrated and self-regulated when they are isolated from their classmates and instructors. To address this issue, this study collected both quantitative and qualitative data from a sample of 580 Chinese university learners from varied majors, who were taking online…
Descriptors: Predictor Variables, Undergraduate Students, Intention, Adoption (Ideas)