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Qi Zhang – Education and Information Technologies, 2024
This study investigates the affective and performative effects of ludicization, i.e., the process of transforming the original contexts into immersive ludic experiences based on metaphorized desired behaviors and reflexive space, on language learning. The effects of ludicization are based on an integrated model involving multidimensional…
Descriptors: Language Acquisition, Motivation, Models, Adoption (Ideas)
Ates, Hüseyin; Garzón, Juan – Education and Information Technologies, 2023
Many studies show that augmented reality (AR) provides multiple benefits to science education, including learning gains, motivation to learn, and collaborative learning. However, while using AR largely depends on the teachers' willingness, existing literature lacks studies that identify teachers' intentions to use this technology. This study…
Descriptors: Models, Intention, Technology Uses in Education, Computer Simulation
Fink, Aron; Spoden, Christian; Frey, Andreas – Education and Information Technologies, 2023
The replacement of existing technology or the introduction of novel technology into the day-to-day routines of higher education institutions is not a trivial task. Currently, many higher education institutions are faced with the challenge of replacing existing procedures for administering written exams with e-exams. To guide this process, this…
Descriptors: College Faculty, Teacher Attitudes, Intention, Computer Assisted Testing
Kamil Çelik; Ahmet Ayaz – Educational Technology Research and Development, 2025
Technological advancements in recent years have accelerated the development of information and communication technologies, introducing numerous innovations. One prominent innovation is the concept of the metaverse, which has gained significant popularity and is increasingly influencing various sectors, including the economy, art, entertainment,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Computer Science Education
David, Adonis P.; Aruta, John Jamir Benzon R. – Educational Media International, 2022
Determining factors of teachers' intention to use technology is important. Drawing from the Technology Acceptance Model (TAM), we tested a research model depicting the direct and indirect effects of teachers' age, gender, perceived ease of use, perceived usefulness, and attitude towards use of technology on their behavioral intention to use…
Descriptors: Foreign Countries, Teacher Attitudes, Intention, Technology Uses in Education
Yujie Yan; Mingzhang Zuo; Panpan Duan; Baoyi Deng – Asia-Pacific Education Researcher, 2024
The online learning has gradually become a notable trend of K-12 education, which requires students' continuous intention in regard to online learning. Although it is acknowledged that both environmental, technological, and personal factors have the potential to enhance students' continuous intention toward online learning, there is limited…
Descriptors: Elementary Secondary Education, Intention, Student Attitudes, Electronic Learning
Md Al Amin; Yang Sok Kim; Mijin Noh – Education and Information Technologies, 2025
The introduction of artificial intelligence technologies like ChatGPT has brought a revolution in various sectors, including higher education. The study aims to examine the drivers that influence ChatGPT adoption among students in higher studies in Bangladesh. This study combined UTAUT model components with constructs such as perceived knowledge…
Descriptors: Trust (Psychology), Artificial Intelligence, Computer Software, Social Influences
Stela-Marina Kostaki; Michalis Linardakis – Education and Information Technologies, 2025
The current study explores the preferences of primary school teachers on the characteristics of Information and Communication Technologies (ICT)-based teaching via Discrete Choice Models (DCM). These models analyze the preferences of teachers towards alternatives that are formed by different characteristics. In this study we examined the…
Descriptors: Elementary School Teachers, Teacher Attitudes, Preferences, Teaching Methods
Yaki A. Akawo; Mustapha M. Tajordeen; Kabir S. Fatima; Hussain B. Mufida – Journal of Science Learning, 2025
The study examined Nigeria Science and Mathematics Teachers' intention towards adopting the CL4STEM technology-based instructional (OER) modules to enhance higher-order thinking with Inclusion and Equity (HOTIE). The study adopted a descriptive correlational design. The population of the study was all mathematics and science teachers in some…
Descriptors: Science Teachers, Mathematics Teachers, Teacher Attitudes, Intention
Hui-Shan Lo; Cheng-Ming Chen; Jon-Chao Hong; Ting-Fang Wu – Journal of Special Education Technology, 2025
The purpose of the current study was to develop an appropriate model to represent the relationships among the factors relating to the intention of vocational training professionals to use virtual reality vocational training systems for persons with disabilities. A questionnaire based on the theory of the value-based adoption model was used to…
Descriptors: Career and Technical Education, Computer Simulation, Students with Disabilities, Value Judgment
Clemente Rodríguez-Sabiote; Ana T. Valerio-Peña; Roberto A. Batista-Almonte; Álvaro M. Úbeda-Sánchez – International Review of Research in Open and Distributed Learning, 2024
The global pandemic caused by the SARS-CoV-2 virus brought about a true revolution in the predominant teaching-learning processes (i.e., face-to-face environment) that had been implemented up to that point. In this regard, virtual teaching-learning environments (VTLEs) have gained unprecedented significance. The main objectives of our research…
Descriptors: Electronic Learning, College Students, Online Courses, Models
El-Ashry, Abdallah; El-Din, Amira Nasser; Khairy, Kariman; Soliman, Peter; Beram, Reham; Nosier, Shereen – Anatolian Journal of Education, 2022
The educational process has been hindered worldwide due to COVID-19 pandemic. Yet, the Egyptian government adopted E-learning to maintain the designed educational agenda. Consequently, recognizing E-learning benefits is imperative to link the E-learning system with its success drivers. Therefore, the aim of this study is detecting the main…
Descriptors: Electronic Learning, Success, Models, Information Systems
Zhang, Jing; Dumont, Georgette E.; Sumbera, Becky G.; Medina, Pamela S.; Kordrostami, Melika; Ni, Anna Ya – Online Learning, 2023
Technology adoption patterns, in general, have been shown to have a common set of predictive factors such as performance expectancy, social influence, voluntariness, effort expectancy, and facilitating conditions. However, the significance of such factors varies dramatically by situation and conditions. In the faculty adoption of online teaching…
Descriptors: COVID-19, Pandemics, College Faculty, Teacher Attitudes
Obienu, A. C.; Amadin, F. I. – Education and Information Technologies, 2021
The continuing quest to ensure user acceptance is an ongoing management challenge and one that has occupied information systems researchers to such an extent that technology acceptance research is now considered to be among the more mature areas of exploration. Several models have been developed and validated in different contexts to help explain…
Descriptors: Adoption (Ideas), Educational Innovation, Usability, Models
Wu, Ting-Fang; Chen, Cheng-Ming – Journal of Special Education Technology, 2023
The purpose of the current study was to develop an appropriate model to represent the relationships among all the significant factors about information and communication technology use for university students, both with and without learning disabilities. This study was conducted in Taiwan with a sample consisting of an international array of…
Descriptors: College Students, Students with Disabilities, Learning Disabilities, Models