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Lu Li; Linlin Li; Baichang Zhong; Yuqin Yang – Education and Information Technologies, 2024
The increasingly ubiquitous use of information and communication technologies (ICTs) in education have brought vast boons to educators and learners but also caused technostress for some of them due to their maladaptation to ICT-supported work and learning. Scientific research on technostress in educational settings has been growing ever since this…
Descriptors: Literature Reviews, Bibliometrics, Anxiety, Stress Variables
Albudoor, Nahar; Peña, Elizabeth D. – International Journal of Language & Communication Disorders, 2021
Background: There is an increasing number of technological resources available to speech and language therapists (SLTs) for use in clinical practice, but the factors that influence SLTs' selection and use of such resources are not well understood. In related fields, technology acceptance models have been employed to explain users' adoption of…
Descriptors: Speech Language Pathology, Allied Health Personnel, Technology, Intention
Sultan Hammad Alshammari – International Journal of Education in Mathematics, Science and Technology, 2024
Technological advancements have led to the emergence of the Fourth Industrial Revolution (4IR). Students' readiness to use 4IR technologies is thus essential for the development of knowledgeable, competent, and skilled graduates. However, ensuring students' readiness to use 4IR technologies is quite challenging, leading to a need to understand the…
Descriptors: Technological Literacy, Learning Readiness, Skill Development, Knowledge Level
Devender Rapolu – ProQuest LLC, 2024
As the number and complexity of instructional tools have increased, universities have rapidly adapted to ensure their students have the necessary tools and resources for academic success (Rafi et al., 2014; Rafi et al., 2020). One of these adaptations has been the creation of virtual learning platforms using Virtual Reality (VR) technology. This…
Descriptors: Undergraduate Students, Black Colleges, Computer Simulation, STEM Education
Sara Benham; Casaundra DiDomenico; Ashton Dluzneski; Erin Howley; Brenna Curley; Katelyn Amy – Journal of Occupational Therapy Education, 2024
As rehabilitation technologies rapidly develop, the lack of evidence-based training remains a barrier to technology adoption. Continuing education (CE) may provide training opportunities for new technologies, specifically 3D printing. Current models of CE course design rely on traditional, pedagogical methods, including didactic delivery, as…
Descriptors: Computer Peripherals, Printing, Cooperative Learning, Interprofessional Relationship
Tribikram Budhathoki; Araz Zirar; Eric Tchouamou Njoya; Achyut Timsina – Studies in Higher Education, 2024
The public release of ChatGPT in November 2022 brought excitement and concerns regarding students' use of language models in higher education. However, little research has empirically investigated students' intention to adopt ChatGPT. This study developed a theoretical model based on the Unified Theory of Acceptance and Use of Technology (UTAUT)…
Descriptors: Adoption (Ideas), Anxiety, Computer Attitudes, Artificial Intelligence
Rachel Bancroft; Rachel Challen; Rosemary Pearce – Journal of Learning Development in Higher Education, 2024
Digital confidence has been increasingly cited as key for staff and student development in tertiary education, often alongside concepts of digital competence or digital capabilities. In the past three years it has formed part of the discussion in our sector (higher education) around adapting to this time of rapid change, especially during the…
Descriptors: Digital Literacy, Self Efficacy, College Faculty, College Students
Yuke Fu; Nathaniel J. Johnson; Mowei Liu; Tiana B. Vandendort; Rebecca K. Robertson; Hayley T. Hartwick – Early Child Development and Care, 2024
With children's digital technology usage surging in post-pandemic Canada, it is imperative to understand children's digital literacy and multimodal practices. This study investigated potential predictors of children's digital literacy and multimodal practices at home, and the latent profiles of digital families. A sample of 413 parents of children…
Descriptors: Foreign Countries, Digital Literacy, Parents, Access to Computers
Pischetola, Magda – International Journal of Technology and Design Education, 2022
The paper analyses possible reasons for the gap between teachers' actions and intentions, reported by research on practices with the use of ICT. The theoretical approach is informed by teachers' beliefs, which are discriminated in two categories: pedagogical and epistemic. A qualitative fieldwork research undertaken in eight public primary schools…
Descriptors: Teacher Attitudes, Technology Integration, Computer Attitudes, Foreign Countries
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
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
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