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Jingyi Xie; Jiao Jiao – Educational Technology Research and Development, 2025
The formation of the digital divide is influenced by both objective factors, such as insufficient digital resources, and subjective factors, such as technology acceptance. This study employs a mixed-methods approach, utilizing the KANO model to analyze learners' demand attributes and the UTAUT model to examine subjective factors influencing…
Descriptors: Technology Uses in Education, Electronic Learning, Computer Attitudes, Developing Nations
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
Granit Baca; Genc Zhushi – Higher Education, Skills and Work-based Learning, 2025
Purpose: This study aims to examine the integration of AI in student engagement and its benefits in the learning environment. Design/methodology/approach: The study employed a quantitative research method, analyzing data from a sample of 720 students. The econometric data analysis used the structural equation modeling (SEM) technique. Findings:…
Descriptors: Artificial Intelligence, Technology Integration, Technology Uses in Education, Higher Education
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
Senad Becirovic; Mersad Dervic; Boris Mattoš – SAGE Open, 2025
This research seeks to investigate the variables that might affect university-level students' internet habits, their e-learning self-efficacy and academic achievement in a technology-enhanced teaching and learning environment. To attain the aforementioned objective the Information System Success (ISS) and Technology Acceptance Model (TAM) were…
Descriptors: College Students, Behavior Patterns, Internet, Self Efficacy
Unal, Erhan; Uzun, Ahmet Murat – British Journal of Educational Technology, 2021
Educational social network sites have many uses in the field of education. The present paper aims to determine factors influencing students' behavioral intention to use a popular educational social network site, Edmodo. Using an extension of the technology acceptance model, we analyzed quantitative responses of 218 university students, registered…
Descriptors: College Students, Intention, Social Media, Technology Integration
Wright, Paul N.; Whitworth, Malcolm; Tibaldi, Alessandro; Bonali, Fabio; Nomikou, Paraskevi; Antoniou, Vavara; Vitello, Fabio; Becciani, Ugo; Krokos, Mel; Van Wyk de Vries, Benjamin – Journal of Geography in Higher Education, 2023
At a time when traditional fieldwork is coming under pressure, be it from shrinking budgets, reducing carbon footprints, increased concerns for personal safety or the desire to make field skills accessible to all, how do we ensure that the key skills of observation, data collection and landscape analysis can still be developed in our students?…
Descriptors: Student Attitudes, Computer Simulation, Hazardous Materials, Field Experience Programs
Fatih Balaman; Muhammet Bas – Interactive Learning Environments, 2023
This study is aimed to develop a scale that measures university students' perception of using e-learning platforms by using the Technology Acceptance Model (TAM). The sample consisted of 636 university students. The Exploratory Factor Analysis (EFA) results revealed 5-factors on a 6-items scale. The five factors that were revealed on the EFA…
Descriptors: Electronic Learning, Computer Attitudes, College Students, Usability
Vui-Yee Koon – Interactive Learning Environments, 2023
Scientific research on mobile learning and its implications on humanistic education has grown tremendously. Within the context of an overview of its forerunners (i.e. educational technology) and critical characteristics concerning the humanistic perspective in education, bibliometric findings on mobile learning publications in humanistic education…
Descriptors: Journal Articles, Electronic Learning, Humanistic Education, Bibliometrics
Nur Nabihah Mohamad Nizar; Hutkemri Zulnaidi; Annisaa Basar; Siti Zuraida Maaruf – Contemporary Educational Technology, 2024
The increasing prevalence of mobile augmented reality (MAR) has garnered attention in contemporary times. However, its application within educational settings remains largely untapped, primarily due to its predominant utilization in entertainment domains. MAR presents opportunities for augmenting learning experiences, fostering enhanced…
Descriptors: Foreign Countries, Preservice Teachers, Physical Environment, Simulated Environment
Kristen Walter – ProQuest LLC, 2024
This qualitative case study was conducted to explore factors affecting educational leaders' ability to access program technology tools during initial software adoption. The problem was organizational leaders are often provided digital support tools when implementing a new digital program, but many factors may affect their ability to access and use…
Descriptors: Instructional Leadership, Technology Uses in Education, Educational Technology, Technology Integration
Michael A. Dzbenski – ProQuest LLC, 2024
Virtual Reality (VR) and Virtual Learning Environments (VLE) are technologies that allow users to interact with virtual environments and can create and participate in digital educational experiences and simulations. Due to the VR and VLEs being relatively new technologies in education, acceptance, use, and finally adoption in a classroom…
Descriptors: Computer Simulation, Educational Environment, Technology Uses in Education, Computer Attitudes
Joey Kathleen Freeman – ProQuest LLC, 2024
The abrupt transition to emergency remote teaching during the COVID-19 pandemic offered minimal time to prepare, resulting in faculty reliance on prior pedagogical practices in the shift to an online instructional environment. Although the pandemic altered the learning environment in the short-term, it also offered a glimpse of how higher…
Descriptors: Higher Education, College Faculty, COVID-19, Pandemics
Roxana Rebolledo Font de la Vall; Candy Veas Faundez – Digital Education Review, 2024
Once the pandemic concluded, the Foreign Languages Department of a Chilean state university hired a Canadian company to implement a pre-designed language learning system (PLLS). This platform was to be used by all teachers and students, as it contained various activities to develop all four language skills, including pronunciation practice through…
Descriptors: Foreign Countries, Foreign Nationals, Language Teachers, College Faculty
Sarah Alturkustani; Ashley Durfee; Olivia F. O'Leary; Siobhain M. O'Mahony; Conor O'Mahony; Mutahira Lone; Andreea Factor – Anatomical Sciences Education, 2025
Anatomy is fundamental to medical disciplines. However, its complexity can be challenging to learners, and traditional anatomy teaching may not be easily accessible. Virtual Reality has the potential to supplement anatomy education, but its effectiveness depends on students' willingness to accept it. This study aimed to measure students'…
Descriptors: Student Attitudes, Computer Simulation, Anatomy, Electronic Learning