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Yimin Ning; Wenjun Zhang; Dengming Yao; Bowen Fang; Binyan Xu; Tommy Tanu Wijaya – Education and Information Technologies, 2025
The integration of AI in education highlights the significance of Teachers' AI Literacy (TAIL). Existing assessment tools, however, are hindered by incomplete indicators and a lack of practicality for large-scale application, necessitating a more systematic and credible evaluation method. This study is based on a systematic literature review and…
Descriptors: Artificial Intelligence, Rating Scales, Technological Literacy, Factor Analysis
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Ferhan Sahin; Yusuf Levent Sahin; Muhammet Recep Okur – Journal of Computing in Higher Education, 2025
While the significance of motivation in the adoption of mobile learning has been well-documented in numerous studies, empirical evidence regarding the roles of cognitive, social, and affective needs remains limited. This presents a notable gap in the field of education concerning the influence of motivational factors on mobile learning acceptance.…
Descriptors: Electronic Learning, Technology Uses in Education, Technology Integration, Adoption (Ideas)
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Loc Phuoc Hoang; Phuong Anh Le; Huy Thanh Le; Dung The Nguyen; Thanh Chi Phan; Hieu Thanh Le; Hung Van Tran; Quoc Hoa Tran-Duong – Education and Information Technologies, 2025
This study explores the transformation of teaching and assessment methods in the context of media applications, particularly the rise of E-learning and blended teaching driven by rapid ICT advancements. These changes necessitate updates in teachers' teaching and assessment literacies to align with modern educational trends. This adaptation is…
Descriptors: Educational Assessment, Assessment Literacy, Competence, Preservice Teachers
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Nurlaela Nurlaela; Andi Muhammad Irfan; Muhammad Haristo Rahman; Kurnia Prima Putra; Amiruddin Mahmud; Wirawan Setialaksana – Education and Information Technologies, 2025
Integrating advanced technologies like Virtual Reality (VR) and Augmented Reality (AR) in educational settings can significantly enhance learning, especially in vocational education, where practical application is crucial. However, understanding the factors influencing student acceptance of these technologies remains challenging. This study…
Descriptors: Career and Technical Education, Technology Uses in Education, Technology Integration, Artificial Intelligence
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Gary G. Andersen; Linda E. Feldstein; Matthew Clay – Advocate, 2025
This qualitative study sought stakeholder perspectives on the Kansas Department of Education's "Kansas Can" school redesign initiatives. Interviews with stakeholders revealed both sustainable and vulnerable aspects of the school reforms across cultural, political, and technological dimensions.
Descriptors: Educational Change, Sustainability, State Departments of Education, School Restructuring
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Haidee A. Jackson; Kara Rosenblatt – Journal of Special Education Technology, 2025
We aimed to capture reflections of in-service educators' understanding of the use of technology in teaching, after receiving instruction on the Universal Design for Learning (UDL) and Triple-E technology integration frameworks. Our objectives were to investigate in-service educators' reflections for the presence of any changes in their reasoning…
Descriptors: Technology Integration, Attitude Change, Access to Education, Graduate Students
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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
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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
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Liz Jackson; Alexander M. Sidorkin; Petar Jandric; Eamon Costello; Jessica A. Heybach; Heather Greenhalgh-Spencer; Kathy Hytten; Lesley Gourlay; Rachel Buchanan; Marek Tesar – Educational Philosophy and Theory, 2025
Today lively debates are unfolding about artificial intelligence (Jackson, 2024; Peters et al., 2024; Sidorkin, 2024). Despite these debates, the topic remains undertheorized (Gourlay, 2024) in relation to various matters pertaining to its use, benefits, risks, and implications. As argued in a recent editorial for this journal (2024), it is…
Descriptors: Artificial Intelligence, Computer Software, Risk, Technology Integration
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Nopparat Klayklueng; Pinanta Chatwattana – International Education Studies, 2025
The architecture of the service platform via AI chatbots is a research tool which was fabricated to specifically promote digital competency through the use of AI chatbots. The architecture of the service platform herein was initiated by the application of artificial intelligence technology integrated with chatbot technology to create the user…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Learning Management Systems
Global Partnership for Education, 2025
Technology is a powerful tool to enhance learning and it has the potential to remove barriers to education for all children. When supporting countries' use of technology for education (Tech4Ed), the Global Partnership for Education (GPE) maintains a focus on equity and bridging the digital divide. This factsheet provides an overview of the…
Descriptors: Educational Technology, Technology Uses in Education, Access to Computers, Barriers
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Alex Adams; Don Belcher – Physical Educator, 2025
Technology in education strives to parallel the high-tech world we live in. When students' learning environment reflects the ways in which they engage the world, they will excel in their education (Christen, 2009). Physical education teachers (PETs) have reported many barriers to using and integrating educational technology (e.g., Hill &…
Descriptors: Physical Education Teachers, Self Efficacy, Technology Integration, Technology Uses in Education
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Juan-Manuel Aguado-García; Sara Alonso-Muñoz; Carmen De-Pablos-Heredero – SAGE Open, 2025
Artificial intelligence plays an important role in higher education, helping to manage centres and students' educational pathways, and acting as a valuable tool for both professors and scholars. However, its use in education is still at an early stage of development. Despite the notable increase in the number of publications and the growing…
Descriptors: Artificial Intelligence, Higher Education, Technology Uses in Education, Educational Research
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Carolyn Fitzpatrick – Journal of Faculty Development, 2025
In the rapidly evolving landscape of higher education, the clarity, measurability, and alignment of course objectives are more critical than ever. Effective course design hinges on well-defined learning objectives that guide both instruction and assessment. However, creating these objectives can be a daunting task for faculty, especially when…
Descriptors: Educational Change, Educational Objectives, Higher Education, Alignment (Education)
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Xing Hu; Wen Gong – Education and Information Technologies, 2025
Amid the growing interest in generative AI technologies like ChatGPT for educational purposes, this research seeks to better understand Chinese EFL learners' acceptance and usage of them for L2 writing purposes. This study conducts an investigation by establishing a structural equation model that incorporates the Technology Acceptance Model (TAM)…
Descriptors: Foreign Countries, Artificial Intelligence, Computer Software, Technology Integration
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