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Marc Watkins; Stephen Monroe – Thresholds in Education, 2025
We begin our introduction by acknowledging the valid anxieties of faculty who face rapid technological change brought on by Generative AI (GenAI) tools without adequate institutional support or training. While some scholars advocate for GenAI resistance and others for wholesale adoption, the voices included within this volume argue for a balanced,…
Descriptors: Higher Education, Technology Uses in Education, Artificial Intelligence, Accountability
Amjad Ur Rehman; Asif Mahmood; Shahid Bashir; Mazhar Iqbal – Journal of Educators Online, 2024
This study aims to determine how technophobia, or dread of technology, hinders education and offers future research recommendations. Utilizing systematic reviews, researchers scoured numerous research sources for articles on technophobia in education. The admissions criteria were established, and 18 research works that met those criteria were…
Descriptors: Computer Attitudes, Anxiety, Fear, Technology Uses in Education
Lijuan Huang; Adiza A. Musah – Journal of Pedagogical Research, 2024
In the ever-changing sector of education, the use of technology has become critical to innovation and increased learning opportunities. This research illustrates the intricate connections that exist between augmented reality [AR] and tremendous educational attributes, thinking about how AR might modify conventional teaching approaches. The…
Descriptors: Computer Simulation, Creativity, Student Behavior, Teaching Methods
Manuela Farinosi; Claudio Melchior – European Journal of Education, 2025
Artificial intelligence (AI) tools have the potential to revolutionise educational practices, but their use raises ethical and organisational concerns for higher education institutions (HEIs). We investigated Italian students' perception and usage of AI tools at the University of Udine using questionnaires (N = 531) with fixed and open-ended items…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Attitudes, Computer Attitudes
Yulu Cui; Hai Zhang – Education and Information Technologies, 2025
With the development of artificial intelligence technology, it has become increasingly difficult to distinguish between Artificial Intelligence Generated Content (AIGC) and non-AIGC. Inaccuracies in identifying AIGC in higher education may lead to academic misconduct and risks, and the credibility of AIGC is also subject to certain doubts. Users…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Identification
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
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
Matt Marino – Journal of Research Initiatives, 2024
This article explores the disconnect between student and educator perspectives regarding practical technology usage in higher education. As technology continues to play an increasingly prominent role in the educational landscape, understanding the differing viewpoints of students and educators is crucial for designing impactful technology…
Descriptors: College Students, College Faculty, Teacher Attitudes, Student Attitudes
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
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
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
Carmen Vallis; Stephanie Wilson; Alison Casey – Journal of Interactive Media in Education, 2025
In this paper, we advance the examination of generative AI (GenAI) in educational contexts in two distinct ways. First, we introduce and evaluate an innovative workshop model designed to explore GenAI metaphors, helping participants to articulate their own and their peers' responses to the technology. These workshops included students, academics…
Descriptors: Foreign Countries, Higher Education, Artificial Intelligence, Figurative Language
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
Kingsley Ofosu-Ampong – Discover Education, 2024
Limited studies exist on faculty members or lecturers' perception and behavioural acceptance of artificial intelligence (AI) (e.g. ChatGPT) for their students' benefit. Teachers are the decision-makers for students' teaching and classroom activities. In this regard, the study examined lecturers' use of AI-powered tools and the factors that…
Descriptors: Teaching Methods, Teacher Attitudes, Artificial Intelligence, Foreign Countries
Sahin Gökçearslan; Hatice Yildiz Durak; Nilüfer Atman Uslu – Interactive Learning Environments, 2024
The acceptance of IoT technologies in education by pre-service teachers will affect their intention to use these technologies in the future. Previous research has addressed the effects of variables on the acceptance of IoT technologies in education to a limited degree. Therefore, this study aims to propose and test a structural model that…
Descriptors: Foreign Countries, Preservice Teachers, Internet, Equipment

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