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Showing 1 to 15 of 74 results Save | Export
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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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Tugce Özbek; Christina Wekerle; Ingo Kollar – Education and Information Technologies, 2024
Pre-service teachers' often suboptimal use of technology in teaching can be explained by low levels of technology acceptance. The present study aims to investigate how technology acceptance can be promoted. Based on the Technology Acceptance Model by Davis (1986), we hypothesized that encouraging pre-service teachers to constructively engage with…
Descriptors: Preservice Teachers, Student Attitudes, Computer Attitudes, Technology Uses in Education
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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
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Izida I. Ishmuradova; Alexey A. Chistyakov; Tatyana A. Brodskaya; Nikolay N. Kosarenko; Natalia V. Savchenko; Natalya N. Shindryaeva – Contemporary Educational Technology, 2025
This investigation aimed to ascertain latent profiles of university students predicated on fundamental factors influencing their intentions to acquire knowledge in artificial intelligence (AI). The study scrutinized four dimensions: supportive social norms, facilitating conditions, selfefficacy in AI learning, and perceived utility of AI. Through…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Electronic Learning
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Areen Hazzan-Bishara; Ofrit Kol; Shalom Levy – Education and Information Technologies, 2025
This study examines factors influencing teachers' intention to adopt Generative AI technologies in education by extending the Technology Acceptance Model (TAM). The proposed comprehensive model incorporates both external factors (exposure to AI information, information credibility, and institutional support) and internal factors (intrinsic…
Descriptors: Technology Uses in Education, Artificial Intelligence, Teacher Attitudes, Computer Attitudes
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Daniel Makini Getuno; Ezra Kiprono Maritim; Fred Nyabuti Keraro – International Journal of Education and Development using Information and Communication Technology, 2025
This study advances an e-learning adoption model by exploring the link between Performance Expectancy (PE) and Behavioural Intention (BI) to adopt e-learning among undergraduate students in Kenya's public universities. Using the Unified Theory of Acceptance and Use of Technology (UTAUT), data were collected from a sample of 388 respondents through…
Descriptors: Foreign Countries, Electronic Learning, Intention, Expectation
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Jie Xu; Yan Li; Rustam Shadiev; Cuixin Li – Education and Information Technologies, 2025
Generative Artificial Intelligence (AI) is steadily gaining prominence in higher education and brings about huge impact on college students' daily life. However, limited studies paid attention to college students' use behavior of generative AI and its influencing factors. The study aimed to explore this issue by adopting an extended Unified Theory…
Descriptors: College Students, Technology Uses in Education, Artificial Intelligence, Intention
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Feng Zhang; Gege Li; Heng Luo – Educational Technology & Society, 2025
With the development of virtual reality technology, 3D multi-user virtual environments (MUVEs) have attracted increasing research attention and are thought to bring many learning benefits in higher education. However, the widespread and sustained application of MUVEs in higher education lies in learners' intention to use them, but the mechanism…
Descriptors: Student Attitudes, Intention, College Students, Educational Technology
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Artur Strzelecki – Education and Information Technologies, 2025
This research explored the attitudes of higher education students toward ChatGPT, an AI tool commonly employed for academic assistance. Our aim was to investigate students' acceptance and use of ChatGPT during their academic pursuits. We targeted two distinctive groups for our study: undergraduate and postgraduate students. Our findings show that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Undergraduate Students
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Sajuddin Saifi; Shaista Tanveer; Mohd Arwab; Dori Lal; Nabila Mirza – Education and Information Technologies, 2025
The current study is an attempt to bring to light the influence of Open AI adoption among users regarding the Indian Higher Education system by incorporating the TCT and TTF models. A questionnaire was designed to collect the data from 571 participants associated with higher education in India. The developed model with Perceived usefulness,…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Higher Education
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Bahçekapili, Ekrem – Research in Learning Technology, 2023
Technology acceptance studies are interesting because they are practical and theoretically helpful in explaining the adoption and intention to use a particular technology. There is a large amount of research on e-learning and other technologies in the literature, but there is limited evidence to explain why secondary school students' intention to…
Descriptors: Foreign Countries, Elementary School Students, Secondary School Students, Technology Uses in Education
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Jerri Alejandro López-Sánchez; Juan Camilo Patiño-Vanegas; Alejandro Valencia-Arias; Jackeline Valencia – Cogent Education, 2023
Information and communication technologies (ICTs) adopted in higher education are an impactful topic for the actors directly involved. For this reason, the use and adoption of ICTs aimed at university student learning was examined through a systematic review using PRISMA methodology; this review included 27 articles that met the inclusion…
Descriptors: Educational Technology, Technology Uses in Education, College Students, Technology Integration
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Sungur Gül, Kibar; Ates, Hüseyin – Education and Information Technologies, 2023
The aim of this study is threefold: (1) to present a valid and reliable scale in the framework of the Technology Acceptance Model; (2) to reveal factors affecting pre-service science teachers' intentions to use technology-based STEM; (3) to examine the effect of technology-based STEM education training on pre-service science teachers' perceived…
Descriptors: Technology Uses in Education, Computer Attitudes, Adoption (Ideas), STEM Education
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Shuchen Guo; Lehong Shi; Xiaoming Zhai – Education and Information Technologies, 2025
As artificial intelligence (AI) receives wider attention in education, examining teachers' acceptance of AI (TAAI) becomes essential. However, existing instruments measuring TAAI reported limited validity evidence and faced some design challenges, such as missing informed definitions of AI to participants. To fill this gap, this study developed…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teacher Attitudes, Test Construction
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Godfrey Chitsauko Muyambi; Mmankoko Ziphorah Ramorola – Education and Information Technologies, 2025
South African schools are increasingly integrating digital technology into their curricula to enhance educational outcomes. This study aims to evaluate educators' readiness to teach using digital media (DM) and the effectiveness of the e-learning policy in addressing disparities across schools. The hypothesis is that disparities in access to…
Descriptors: Foreign Countries, Secondary School Teachers, Teacher Attitudes, Computer Attitudes
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