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Sandip Kumar Sarkar – International Journal of Information and Learning Technology, 2025
Purpose: Digital platforms and apps utilize a range of engaging features, structural guidance and algorithms to create and sustain immersive experiences. While immersion is crucial for captivation, initial adoption and early app use, limited research has explored its role in post-adoption behavior and habit formation. This study investigates these…
Descriptors: Intention, Behavior, Habit Formation, Interaction
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
Melissa S. Del Castillo; Hope Y. Kelly – College & Research Libraries, 2025
Libraries can play a role in navigating the Artificial Intelligence (AI) era by integrating these tools into information literacy (IL) programs. To implement generative AI tools like ChatGPT effectively, it is important to understand the attitudes of library professionals involved in IL instruction toward this tool and their intention to use it…
Descriptors: Artificial Intelligence, Information Literacy, Library Instruction, Librarian Attitudes
Bin Hu; Kairong Li; Yingyi Zhang – SAGE Open, 2025
With the rapid development of information technology, telecommunication network fraud poses a serious threat to college students. Urgent action is needed to enhance their awareness of fraud prevention through effective educational methods. This study constructed a behavioral willingness model to use an anti-fraud educational game among university…
Descriptors: Deception, Telecommunications, College Students, Gamification
Khalida Parveen; Abdulelah A. Alghamdi; Nagwan Abdel Samee; Muhammad Shafiq – Journal of Educational Computing Research, 2025
As technology rapidly evolves, generative AI tools are increasingly integrated across various fields, including education. ChatGPT, a well-known language model developed by OpenAI, has gained significant importance in educational settings. This study employed a quantitative, cross-sectional survey design and employed the Unified Theory of…
Descriptors: Artificial Intelligence, Computer Uses in Education, College Students, Foreign Countries
Eiman Negm – Higher Education, Skills and Work-based Learning, 2025
Purpose: This study investigates the significant determinants that lead different work-field employees to develop intentions to enroll in educational programs that use artificial intelligence (AI). Venkatesh's (2000) technology acceptance model 3 (TAM3) is the foundation for the proposed research model in the current study, presenting a complete…
Descriptors: Work Based Learning, Artificial Intelligence, Computer Uses in Education, Intention
Joseph Lobo; Genesis Dimalanta; Conrad Buerkley; Susan Manuel; Amiel Alfonso; Celter Cris Torres; Gerald Suba – Journal of Educators Online, 2025
This study adapted Davis' (1989) Technology Acceptance Model (TAM) to investigate what influences students' attitudes on using Microsoft Teams (MS Teams) as a learning tool for Physical Education (PE). Partial Least Square-Structural Equation Modeling (PLS-SEM) analysis of survey responses from 1,916 Mabalacat City College students enrolled in an…
Descriptors: Physical Education, Computer Software, Instructional Effectiveness, Computer Uses in Education
Cong Doanh Duong; Trong Nghia Vu – Higher Education, Skills and Work-based Learning, 2025
Purpose: This study investigates how entrepreneurship education influences e-entrepreneurial intention through e-entrepreneurial self-efficacy, with generative artificial intelligence incorporation as a moderating factor. The study uses the stimulus-organism-response (SOR) framework to comprehensively understand the relationship between…
Descriptors: Foreign Countries, Entrepreneurship, Business Education, Artificial Intelligence
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
Fokides, Emmanuel; Kapetangiorgi, Despoina-Melina – Journal of Information Technology Education: Research, 2022
Aim/Purpose: The goal of the study was to investigate whether the COVID-19 pandemic and its effects on the educational process also affected the views, attitudes, and intentions of educators regarding the use of computers and their applications both for professional and personal purposes. Background: A model was developed and tested that included…
Descriptors: COVID-19, Pandemics, Self Efficacy, Gender Differences
Richard Hannah; Julie Matuszczak; Melissa Briggs – Journal of Educational Technology Systems, 2025
This novel qualitative study explores the transformative potential of Virtual Reality (VR) in augmenting Computer-Based Training (CBT) for energy industry contractors. By immersing participants in four VR simulations, the study delves into the heart of how learners perceive hazardous work environments and emergency procedures in VR. The findings…
Descriptors: Computer Assisted Instruction, Computer Uses in Education, Computer Simulation, Industrial Education
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
Oliver Herbort; Philipp Raßbach; Wilfried Kunde – Cognitive Research: Principles and Implications, 2024
Scrolling is a widely used mean to interact with visual displays, usually to move content to a certain target location on the display. Understanding how user scroll might identify potentially suboptimal use and allows to infer users' intentions. In the present study, we examined where users click on a scrollbar depending on the intended scrolling…
Descriptors: Foreign Countries, Adults, Computer Use, Computer Interfaces
Orakarn Laoharutanun; Noawanit Songkram; Danupol Hoonsopon – Journal of Information Technology Education: Research, 2025
Aim/Purpose: The study investigated how immersive learning environments could be used to encourage student engagement and reuse intentions by integrating desktop augmented reality (AR) into the classroom among primary school students. Background: This paper addresses the potential applications of immersive technology for younger learners and…
Descriptors: Foreign Countries, Computer Simulation, Elementary School Students, Computer Uses in Education
Claire Hawkins – Pastoral Care in Education, 2024
Applying established definitions of bullying to the more recent phenomenon of cyberbullying often results in an ill-fitting definition which is contested by academics. There are particular difficulties when applying the well-documented facets of intentional harm, repetition and power imbalance to the context of online bullying. A contested…
Descriptors: Adolescents, Experience, Definitions, Bullying

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