Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 10 |
Descriptor
| Electronic Learning | 10 |
| Predictive Measurement | 10 |
| Predictor Variables | 10 |
| Distance Education | 5 |
| Student Surveys | 5 |
| College Students | 4 |
| Computer Assisted Instruction | 4 |
| Educational Technology | 4 |
| Student Attitudes | 4 |
| Correlation | 3 |
| Foreign Countries | 3 |
| More ▼ | |
Source
| Computers & Education | 3 |
| American Journal of Distance… | 1 |
| Behaviour & Information… | 1 |
| International Journal of… | 1 |
| Journal of Information… | 1 |
| Online Journal of Distance… | 1 |
| Online Learning | 1 |
| Turkish Online Journal of… | 1 |
Author
Publication Type
| Journal Articles | 10 |
| Reports - Research | 9 |
| Reports - Evaluative | 1 |
Education Level
| Postsecondary Education | 7 |
| Higher Education | 6 |
| Adult Education | 1 |
| High Schools | 1 |
| Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Wladis, Claire; Conway, Katherine M.; Hachey, Alyse C. – Online Learning, 2016
This study explored the interaction between student characteristics and the online environment in predicting course performance and subsequent college persistence among students in a large urban U.S. university system. Multilevel modeling, propensity score matching, and the KHB decomposition method were used. The most consistent pattern observed…
Descriptors: Online Courses, Electronic Learning, Learning Readiness, Student Characteristics
Kruger-Ross, Matthew J.; Waters, Richard D. – Computers & Education, 2013
Following the trend of increased interest by students to take online courses and by institutions to offer them, scholars have taken many different approaches to understand what makes one student successful in online learning while another may fail. This study proposes that using the situational theory of publics will provide a better understanding…
Descriptors: Virtual Classrooms, Electronic Learning, Online Courses, Theories
Ting, Choo-Yee; Sam, Yok-Cheng; Wong, Chee-Onn – Computers & Education, 2013
Constructing a computational model of conceptual change for a computer-based scientific inquiry learning environment is difficult due to two challenges: (i) externalizing the variables of conceptual change and its related variables is difficult. In addition, defining the causal dependencies among the variables is also not trivial. Such difficulty…
Descriptors: Concept Formation, Bayesian Statistics, Inquiry, Science Instruction
Punnoose, Alfie Chacko – Journal of Information Technology Education: Research, 2012
The purpose of this study was to find some of the predominant factors that determine the intention of students to use eLearning in the future. Since eLearning is not just a technology acceptance decision but also involves cognition, this study extended its search beyond the normal technology acceptance variables into variables that could affect…
Descriptors: Foreign Countries, Intention, Motivation, Personality Traits
Yen, Cherng-Jyh; Abdous, M'hammed – International Journal of Distance Education Technologies, 2011
The confluence of technology convergence, market forces, and student demand for greater access is reshaping higher education institutions. Indeed, the convergence of technological innovations in hardware, software, and telecommunications, combined with the ubiquity of learning management systems, is reconfiguring and strengthening traditional…
Descriptors: Learner Engagement, Blended Learning, Distance Education, Educational Technology
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
Wieling, M. B.; Hofman, W. H. A. – Computers & Education, 2010
To what extent a blended learning configuration of face-to-face lectures, online on-demand video recordings of the face-to-face lectures and the offering of online quizzes with appropriate feedback has an additional positive impact on the performance of these students compared to the traditional face-to-face course approach? In a between-subjects…
Descriptors: Feedback (Response), Grade Point Average, Predictor Variables, Lecture Method
Gunawardena, Charlotte N.; Linder-VanBerschot, Jennifer A.; LaPointe, Deborah K.; Rao, Lalita – American Journal of Distance Education, 2010
This study explores factors that predict learner satisfaction and transfer of learning in an online educational program at a multinational corporation, established to improve organizational learning by providing training in technical skills. A mixed-methods design was used, selecting both quantitative methods (utilizing survey research) and…
Descriptors: Instructional Design, Self Efficacy, Transfer of Training, Methods
Roblyer, M. D.; Davis, Lloyd – Online Journal of Distance Learning Administration, 2008
Virtual schooling has the potential to offer K-12 students increased access to educational opportunities not available locally, but comparatively high dropout rates continue to be a problem, especially for the underserved students most in need of these opportunities. Creating and using prediction models to identify at-risk virtual learners, long a…
Descriptors: Prediction, Predictor Variables, Success, Virtual Classrooms
Martinez-Torres, M. R.; Toral, S. L. Marin; Garcia, F. Barrero; Vazquez, S. Gallardo; Oliva, M. Arias; Torres, T. – Behaviour & Information Technology, 2008
The application of scientific tools to analyse the use of Internet-based e-learning tools in academic settings is in general an ignored area. E-learning tools are actually an emergent topic as a result of the new ideas introduced by the European Higher Education Area. Lifelong learning, or the promotion of student initiative, is the new paradigm…
Descriptors: Higher Education, Student Attitudes, Lifelong Learning, Laboratories

Peer reviewed
Direct link
