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Salvatore G. Garofalo; Stephen J. Farenga – Science & Education, 2025
The purpose of this study was to gauge the attitudes towards artificial intelligence (AI) use in the science classroom by science teachers at the start of generative AI chatbot popularity (March 2023). The lens of distributed cognition afforded an opportunity to gather thoughts, opinions, and perceptions from 24 secondary science educators as well…
Descriptors: Secondary School Teachers, Science Teachers, Teacher Attitudes, Artificial Intelligence
Kivanç Bozkus; Özge Canogullari – Education and Information Technologies, 2025
This study investigated the relationships between academic self-discipline, self-control and management, meaningful learning self-awareness, and generative artificial intelligence (GAI) acceptance among 597 teacher candidates at nine Turkish universities. A serial mediation model was proposed, hypothesizing that academic self-discipline influences…
Descriptors: Self Control, Self Management, Self Concept, Computer Attitudes
Ahmet Volkan Yüzüak; Emrah Higde; Zekiye Merve Öcal; Görkem Avci; Sinan Erten – International Journal of Assessment Tools in Education, 2025
In today's educational landscape, students have access to enriched learning environments through augmented and virtual reality (AR/VR) applications. Effective digital learning depends on identifying the key factors and learner attitudes that influence engagement and task performance. We focused more on preservice teachers' intentions to use AR/VR…
Descriptors: Computer Simulation, Computer Uses in Education, Preservice Teachers, Intention
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
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
Papakostas, Christos; Troussas, Christos; Krouska, Akrivi; Sgouropoulou, Cleo – Education and Information Technologies, 2022
The integration of Augmented Reality (AR) in welding training is considered to increase the efficiency, security and time gain in operations, reducing consumable and infrastructures costs. Prior research has examined the integration of AR-simulation in applications, like medical operations or aviation, showing the need for greater usability of…
Descriptors: Technology Integration, Computer Simulation, Welding, Training
Tasdöndüren, Tuba; Korucu, Agah Tugrul – Journal of Learning and Teaching in Digital Age, 2022
The aim of this study is to examine middle school students' perceptions of information technology self-efficacy and their attitudes towards coding according to various variables and to determine the difference between secondary school students' perceptions of information technology self-efficacy and their attitudes towards coding. The study was…
Descriptors: Student Attitudes, Computer Attitudes, Self Efficacy, Programming
Lihui Sun; Liang Zhou – Education and Information Technologies, 2025
Generative Artificial Intelligence (GenAI) has fundamentally transformed the education landscape, offering unprecedented potential for personalized learning and enhanced teaching methods. This research conducted two sub-studies aimed at exploring the influences and differences in college students' attitudes towards generative artificial…
Descriptors: Artificial Intelligence, Computer Uses in Education, Computer Attitudes, Student Attitudes
Jiun-Yao Cheng; Ajit Devkota; Masoud Gheisari; Idris Jeelani; Bryan W. Franz – Journal of Civil Engineering Education, 2025
Artificial intelligence (AI) presents significant opportunities and challenges within the construction industry. Higher education will have a vital role in preparing future professionals to leverage AI tools, and in the effective incorporation of AI into construction curriculums is a topic of debate. As educators, construction faculty can offer…
Descriptors: Artificial Intelligence, Technology Integration, Construction Industry, Career and Technical Education
Anna Korchak; Ghadah Al Murshidi; Aleksandra Getman; Noor Raouf; Marwa Arshe; Nawal Al Meheiri; Galina Shulgina; Jamie Costley – Innovations in Education and Teaching International, 2025
This study explores the role of social influence in the adoption strategies of generative artificial intelligence (GenAI) among graduate and undergraduate students. Using the Unified Theory of the Acceptance and Use of Technology (UTAUT) and its key behaviour intention determinant, social influence, the relationship between GenAI popularity among…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Artificial Intelligence
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
Chun-Mei Chou; Tsu-Chuan Shen; Tsu-Chi Shen – Education and Information Technologies, 2025
AR-supported instruction has been verified to improve students' problem-solving skills. This study investigated 1041 university students and developed an empirical research model that combined technology acceptance, self-regulation, and AR-supported learning effectiveness with the structural equation model (SEM). At the same time, content analysis…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Adoption (Ideas)
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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