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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
Chengliang Wang; Xiaojiao Chen; Zhebing Hu; Sheng Jin; Xiaoqing Gu – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, as a cutting-edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and educational equity. Existing studies have not fully explored learners' intentions to adopt artificial intelligence generated content (AIGC) technology, highlighting the need…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Computer Uses in Education
Yanyan Sun; Zhenping Yan – Educational Technology Research and Development, 2025
This study explores factors that influence teachers' technology adoption in technology-rich classrooms and how they interact by integrating task technology fit into the Technology Acceptance Model (TAM). A proposed model was tested via 343 survey responses from Grade 1-12 teachers using structural equation modeling. The results indicated…
Descriptors: Technology Integration, Technology Uses in Education, Elementary School Teachers, Secondary School Teachers
Suzhen Duan; Marisa Exter; Qing Li – TechTrends: Linking Research and Practice to Improve Learning, 2024
Preservice teachers' beliefs regarding technology integration significantly influence their future teaching practices. This qualitative study examines the beliefs and intentions of 51 preservice teachers within the context of technology integration in their envisioned teaching scenarios. Thematic analysis identified three primary themes. Firstly,…
Descriptors: Preservice Teachers, Student Attitudes, Beliefs, Technology Integration
Laurie O. Campbell; Caitlin Frawley – Educational Technology Research and Development, 2024
Higher education faculty members incorporate technologies into their teaching and learning practices in higher education for the benefit of their learners. Hence, general technologies, such as presentation software, online classrooms, and learning management systems are ubiquitous in higher education teaching practices. However, emerging…
Descriptors: College Faculty, Intention, Technology Integration, Educational Technology
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
Mengrong Han; Hasri Mustafa; Saira Kharuddin – Journal of Pedagogical Research, 2025
This study investigates the adoption and usage of artificial intelligence (AI) technologies among Chinese undergraduate accounting students, focusing on the roles of Social Influence (SI), Behavioral Intention (BI), and Actual Usage (AU), while examining the mediating effect of BI and the moderating effect of Voluntariness of Use (VOU). By…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Accounting
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
Xueqin Huang; Xingjian Gao; Sangmi Kim; Shiroh Ohno – Asia-Pacific Education Researcher, 2025
Previous research has extensively explored the integration of Information and Communication Technology (ICT) in education. However, much of previous research has not differentiated between the environments where ICT is used, particularly in terms of its perceived usefulness in school versus at home. This gap in understanding the contextual…
Descriptors: Information Technology, Technology Uses in Education, Usability, Intention
Hsi-Hsun Yang – International Review of Research in Open and Distributed Learning, 2024
This study proposes a hypothetical model combining the unified theory of acceptance and use of technology (UTAUT) with self-determination theory (SDT) to explore design professionals' behavioral intentions to use artificial intelligence (AI) tools. Moreover, it incorporates job replacement (JR) as a moderating role. Chinese-speaking design…
Descriptors: Artificial Intelligence, Design, Intention, Models
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
Mussa Saidi Abubakari; Gamal Abdul Nasir Zakaria; Juraidah Musa – Cogent Education, 2024
Various factors, including technical, organisational, cultural, and individual, can influence how people adopt digital technologies (DT). However, different contexts have produced similar yet distinct results when researchers integrated these various factors into the technology acceptance model (TAM). Two critical factors in the Islamic…
Descriptors: Foreign Countries, Higher Education, Islam, Religious Education
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
Thinley Wangdi; Karma Sonam Rigdel – Journal of Education for Teaching: International Research and Pedagogy, 2025
This qualitative study explored the factors that influence teachers' behavioural intention (BI) to use ChatGPT for teaching. The data was collected from 214 Bhutanese teachers using open-ended questions and interviews. The thematic analysis revealed four key factors that are likely to influence teachers' BI to use ChatGPT in the context. These…
Descriptors: Teacher Attitudes, Intention, Artificial Intelligence, Computer Software

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