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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
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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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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
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Di Wu; Xinyan Zhang; Kaili Wang; Longkai Wu; Wei Yang – Educational Technology Research and Development, 2025
Artificial Intelligence (AI) is driving ecological shifts and systemic reforms in education. As practitioners of educational reform, teachers' behavioral intention to experience and accept the effectiveness of AI technologies will affect the quality of educational change. From an educational ecology perspective, this study explores the impact of…
Descriptors: Teacher Behavior, Intention, Technology Uses in Education, Educational Technology
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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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Shun Xu; Tiehao Zhao; Zhongmei Zheng; Sha Zhu – SAGE Open, 2025
The research exploring the cumulative impact of influencing factors on teachers' ICT integration ability is lacking. Additionally, the mediating role of internal factors on the relationship between external support and teachers' ICT integration ability has not been adequately addressed. This gap hinders the comprehensive enhancement of teachers'…
Descriptors: Foreign Countries, Technology Integration, Technology Uses in Education, Elementary School Teachers
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Antony Musasa; Jameson Goto; Geoffrey Lautenbach – Contemporary Educational Technology, 2025
Educators must effectively integrate technology into their teaching practices in today's technology-driven world. This study investigated factors influencing technology integration into teaching among mathematics educators in Gauteng secondary schools in South Africa. The unified theory of acceptance and use of technology, extended by adding the…
Descriptors: Educational Technology, Technology Integration, Mathematics Education, Mathematics Teachers
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Md. Rabiul Awal; Md. Enamul Haque – Journal of Applied Research in Higher Education, 2025
Purpose: This paper aims to explore students' intention to use and actual use of the artificial intelligence (AI)-based chatbot such as ChatGPT or Google Bird in the field of higher education in an emerging economic context like Bangladesh. Design/methodology/approach: The present study uses convenience sampling techniques to collect data from the…
Descriptors: Foreign Countries, College Students, Intention, Artificial Intelligence
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Olga V. Sergeeva; Marina R. Zheltukhina; Tatyana Shoustikova; Leysan R. Tukhvatullina; Denis A. Dobrokhotov – Contemporary Educational Technology, 2025
Generative artificial intelligence (GAI) technologies are gaining traction in higher education, offering potential benefits such as personalized learning support and enhanced productivity. However, successful integration requires understanding the factors influencing students' adoption of these emerging tools. This study investigates the…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Technology Integration
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Anamika Chandra; Sarthak Sengupta; Anurika Vaish – Education and Information Technologies, 2025
E-learning systems have strengthened the learning process among students by providing online learning opportunities to them. With the diminishing difference between the academic world and the job markets, students must get the full benefits of e-learning platforms. The disparity in online learning opportunities due to a lack of resources has…
Descriptors: College Students, Intention, Electronic Learning, Student Behavior
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Hanadi Aldreabi; Nisreen Kareem Salama Dahdoul; Mohammad Alhur; Nidal Alzboun; Najeh Rajeh Alsalhi – Electronic Journal of e-Learning, 2025
The examination of the impact of Generative AI (GenAI) on higher education, especially from the viewpoint of students, is gaining significance. Although prior research has underscored GenAI's potential advantages in higher education, there exists a discernible research gap concerning the determinants that affect its adoption. In the present study,…
Descriptors: Student Behavior, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Adeneye Olarewaju A. Awofala; Mike Boni Bazza; Omolabake T. Ojo; Adenike J. Oladipo; Oladiran S. Olabiyi; Abayomi A. Arigbabu – Digital Education Review, 2025
Recent progress in artificial intelligence (AI) has aroused interest in the growth and development of educational AI tools (EAITs). Teachers' adoption of EAITs in classrooms has helped in shaping instructional decisions taken by them in an attempt to promote intelligently and actively students' meaningful learning of contents areas. Nevertheless,…
Descriptors: Foreign Countries, Science Teachers, Technology Education, Mathematics Teachers
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Katarína Žáková; Diana Urbano; Ricardo Cruz-Correia; José Luis Guzmán; Jakub Matišák – Education and Information Technologies, 2025
Understanding how students interact with AI bots is a first step towards integrating them into instructional design. In this report, the results of a survey conducted in three European higher education institutions, and in the context of four different areas are presented. Among other things, they reveal for what purposes students use ChatGPT,…
Descriptors: Student Attitudes, Teacher Attitudes, Artificial Intelligence, Natural Language Processing
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Minchul Shin; Innwoo Park – Education and Information Technologies, 2025
This study investigated the impact of teachers' perceptions of the effectiveness of formal and informal technology learning on their intention to use technology, mediated by technology self-efficacy and digital literacy, within a structural relationship framework. The research model included formal technology learning types such as in-person and…
Descriptors: Technology Uses in Education, Teacher Attitudes, Digital Literacy, Self Efficacy
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Lindelani Mnguni – Journal for STEM Education Research, 2025
This paper explores pre-service life sciences teachers' behavioral intentions toward integrating artificial intelligence into life sciences teaching. Despite the growing influence of AI in education, there is limited understanding of the factors affecting teachers' willingness to integrate AI into life sciences teaching. These factors could inform…
Descriptors: Foreign Countries, Preservice Teacher Education, Preservice Teachers, Biological Sciences