Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 3 |
Descriptor
| Educational Technology | 3 |
| Predictive Measurement | 3 |
| Predictive Validity | 3 |
| Technology Uses in Education | 3 |
| Use Studies | 3 |
| Electronic Learning | 2 |
| Higher Education | 2 |
| Predictor Variables | 2 |
| Questionnaires | 2 |
| Student Surveys | 2 |
| Technology Integration | 2 |
| More ▼ | |
Author
| Christodoulou, Sotiris | 1 |
| Grosch, Michael | 1 |
| Koutromanos, George | 1 |
| Kundi, Ghulam Muhammad | 1 |
| Nawaz, Allah | 1 |
| Styliaras, Georgios | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 2 |
| Reports - Evaluative | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 2 |
Audience
Location
| Pakistan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkKoutromanos, George; Styliaras, Georgios; Christodoulou, Sotiris – Education and Information Technologies, 2015
The aim of this study was to use the Technology Acceptance Model (TAM) in order to investigate the factors that influence student and in-service teachers' intention to use a spatial hypermedia application, the HyperSea, in their teaching. HyperSea is a modern hypermedia environment that takes advantage of space in order to display content nodes…
Descriptors: Hypermedia, Intention, Technology Uses in Education, Technology Integration
Download full textGrosch, Michael – Electronic Journal of e-Learning, 2013
The web 2.0 has already penetrated the learning environment of students ubiquitously. This dissemination of online services into tertiary education has led to constant changes in students' learning and study behaviour. Students use services such as Google and Wikipedia most often not only during free time but also for learning. At the same…
Descriptors: Higher Education, Mass Media Use, Postsecondary Education, Technology Uses in Education
Kundi, Ghulam Muhammad; Nawaz, Allah – Turkish Online Journal of Distance Education, 2011
One cannot predict the details of future but one can surely prepare for it. Researchers in eLearning are capitalizing on the user-perceptions as possible predictor of the user-attitudes towards the development, use, problems and prospects of eLearning in their institutions. This application is founded on the psychological fact that a human's…
Descriptors: Electronic Learning, Foreign Countries, Educational Technology, Predictor Variables
