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Hüseyin Ates; Merve Polat – Education and Information Technologies, 2025
This study examines the factors influencing science teachers' intentions to adopt humanoid robots in educational settings. It employs the Unified Theory of Acceptance and Use of Technology 2 (UTAUT-2) and the Technology-Organization-Environment (TOE) framework as guiding theoretical models. By integrating UTAUT-2, which emphasizes individual…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Robotics
Orit Oved; Dorit Alt – Education and Information Technologies, 2025
As AI increasingly permeates education, understanding teachers' perceptions and interactions with these technologies is essential. The Technological Pedagogical Content Knowledge (TPACK) framework provides a comprehensive lens to examine these interactions with educational AI tools (EAITs). This study explored the factors influencing teachers'…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Technology Uses in Education, Technology Integration
Nitzan Elyakim – Education and Information Technologies, 2025
This study examines educators' perceptions of adopting Generative Artificial Intelligence (GenAI) tools in education through the lens of the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model. Using structural equation modeling (SEM) on data collected from 490 participants, the research investigates: (a) the extent to which…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Teacher Attitudes
Montathar Faraon; Kari Rönkkö; Marcelo Milrad; Eric Tsui – Education and Information Technologies, 2025
This study explored factors influencing ChatGPT adoption among higher education students in five Nordic countries (Sweden, Finland, Denmark, Norway, and Iceland) and the USA. The unified theory of acceptance and use of technology 2 (UTAUT2) framework was employed and extended to incorporate personal innovativeness. Data was collected from 586…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, College Students
Jiaming Cheng; Jacob A. Hall; Qiu Wang; Jing Lei – Education and Information Technologies, 2024
Using pre-service teachers' (PSTs) technological, pedagogical, content knowledge (TPACK) survey responses, this study's cluster analysis identified five distinct learning profiles: Pedagogical Content Knowledge Specialists, Technological Forerunners, Pedagogically Minded, Balanced Integrators, and TPACK Lingerers. Instead of using a single…
Descriptors: Preservice Teachers, Teacher Education, Technology Uses in Education, Educational Technology
Kaspul Anwar; Juraidah Musa; Sallimah M. Salleh – Education and Information Technologies, 2025
This study examines the factors influencing preservice teachers' (PSTs) technology integration during teaching practice in teacher preparation programs. Utilizing a multidimensional framework, the study integrates models such as TPACK, UTAUT, and the Triple-E evaluation rubric, among others. The research involved a Qualtrics survey of 1,217 PSTs…
Descriptors: Preservice Teachers, Technology Uses in Education, Technology Integration, Preservice Teacher Education
Fairuz Anjum Binte Habib – Education and Information Technologies, 2025
The incorporation of artificial intelligence (AI) into education is becoming more important over time, although faculty viewpoints on this integration are not well recognized. To analyze educators' attitudes towards AI tools in Bangladesh, this research built a modified model that included components from the technology acceptance model (TAM),…
Descriptors: Teacher Attitudes, Intention, Artificial Intelligence, Technology Uses in Education
Linlin Hu; Hao Wang; Yunfei Xin – Education and Information Technologies, 2025
Although Generative Artificial Intelligence (GAI) has demonstrated significant potential in education, there is a lack of research on pre-service teachers' behavioral intentions toward GAI. This study is based on the UTAUT2 model and, for the first time, introduces perceived risk as a key variable to systematically investigate the factors…
Descriptors: Foreign Countries, Preservice Teachers, Computer Attitudes, Technology Integration
Brian Shambare; Thuthukile Jita – Education and Information Technologies, 2025
Virtual learning technologies have become integral in education globally, with developed countries leading in implementation. In contrast, Global South countries like South Africa are only beginning to conceptualise Virtual Laboratory (VL) integration, with limited practical implementation. This study underscores the importance of understanding…
Descriptors: Science Teachers, Teacher Attitudes, Computer Simulation, Science Laboratories
Lisana, Lisana – Education and Information Technologies, 2023
Adopting technology by its intended users is one of the most important contributors to that technology's success. Therefore, the success of mobile learning (ML) depends on the students' acceptance of the method. Regarding this point, this quantitative research aims to identify factors that affect switching intention to adopt ML among university…
Descriptors: Handheld Devices, Telecommunications, Technology Integration, Intention
Guillén-Gámez, Francisco D.; Ruiz-Palmero, Julio; García, Melchor Gómez – Education and Information Technologies, 2023
All spheres of our life are being affected using technology, particularly its integration in the research processes carried out by teachers. The success of the integration of specific digital resources in research work can be affected by several factors, such as: digital skills for finding information, managing it, analyzing it, and communicating…
Descriptors: Technological Literacy, Teacher Competencies, Teacher Researchers, Educational Technology
Mei Peng Low; Tai Ming Wut; Wei Fong Pok – Education and Information Technologies, 2025
The rapid pace of digital transformation and innovation has significantly driven the growth of generative Artificial Intelligence (AI). Over the past two years, AI has taken a prominent role due to its effectiveness and productivity thereby infiltrating all sectors, including the education sector. Despite growing interest in AI in education, most…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Student Centered Learning
Xuemei Bai; Rifa Guo; Xiaoqing Gu – Education and Information Technologies, 2024
A growing number of studies are focusing on the effect of teachers' knowledge on their behavioral intention to use technology in teaching. This study aims to explore the influence of teachers' technological pedagogical content knowledge (TPACK) on their behavioral intention to use technology by including their technology self-efficacy and attitude…
Descriptors: Technology Integration, Educational Technology, Pedagogical Content Knowledge, Technological Literacy
Sha Tian; Wenjiao Yang – Education and Information Technologies, 2024
The growing popularity of interpreting technology in the industry has raised awareness of incorporating it into interpreter education. However, it is unclear what factors may contribute to students' behavioral use and the consequent effects of using it. With the addition of three external factors (motivation, task-technology fit, and technology…
Descriptors: Translation, Educational Technology, Technology Integration, Technology Uses in Education
Pablo Saiz-González; Jacob Sierra-Díaz; Damián Iglesias; Javier Fernandez-Rio – Education and Information Technologies, 2025
The use of digital technologies to support learning in physical education (PE) has grown in recent years. However, little is known about what teachers think when PE meets technology in the digital era. The purpose of this descriptive study was to use a carefully constructed, face-validated, and pilot-tested web survey to identify PE teachers'…
Descriptors: Physical Education, Physical Education Teachers, Intention, Barriers

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