Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 6 |
Descriptor
| Computer Attitudes | 6 |
| Predictor Variables | 6 |
| Student Motivation | 6 |
| Correlation | 3 |
| Educational Technology | 3 |
| Electronic Learning | 3 |
| Foreign Countries | 3 |
| Learner Engagement | 3 |
| Online Courses | 3 |
| Self Efficacy | 3 |
| Student Attitudes | 3 |
| More ▼ | |
Source
| Journal of Educational… | 2 |
| British Journal of… | 1 |
| Computers & Education | 1 |
| Educational Technology… | 1 |
| Journal of Continuing Higher… | 1 |
Author
| Baek, Youngkyun | 1 |
| Butner, Jonathan | 1 |
| Fraughton, Tamra | 1 |
| Heiner, Cecily | 1 |
| Hsu, Wen-Kai K. | 1 |
| Huang, Show-Hui S. | 1 |
| Huang, Wenhao David | 1 |
| Rueda, Robert | 1 |
| Sang, Guoyuan | 1 |
| Sansone, Carol | 1 |
| Sun, Jerry Chih-Yuan | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 6 |
| Reports - Research | 5 |
| Reports - Evaluative | 1 |
Education Level
| Higher Education | 4 |
| Postsecondary Education | 3 |
| Elementary Education | 1 |
Audience
| Teachers | 2 |
| Administrators | 1 |
| Students | 1 |
Location
| China | 1 |
| South Korea | 1 |
| Taiwan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkTouati, Achraf; Baek, Youngkyun – Journal of Educational Computing Research, 2018
This study investigated students' perceptions of competence and enjoyment of a mobile game within the context of mobile game-based learning. The proposed model showed that perceived competence and game attitude were the main predictors of enjoyment, while no direct relationship was found between perceived competence and gaming achievement. The…
Descriptors: Student Attitudes, Competence, Self Concept, Educational Games
Yoo, Sun Joo; Huang, Wenhao David – Journal of Continuing Higher Education, 2013
As the number of online degree programs continues to grow among higher education institutions in the United States, engaging online adult learners to online degree programs is getting more difficult than before. Therefore, this study, situated in a land grant university, investigated the motivational factors that contribute to adult learners'…
Descriptors: Higher Education, Colleges, Learner Engagement, Adult Students
Sansone, Carol; Fraughton, Tamra; Zachary, Joseph L.; Butner, Jonathan; Heiner, Cecily – Educational Technology Research and Development, 2011
Successful online students must learn and maintain motivation to learn. The Self-regulation of Motivation (SRM) model (Sansone and Thoman 2005) suggests two kinds of motivation are essential: Goals-defined (i.e., value and expectancy of learning), and experience-defined (i.e., whether interesting). The Regulating Motivation and Performance Online…
Descriptors: Electronic Learning, Student Motivation, Online Courses, Learning Motivation
Sun, Jerry Chih-Yuan; Rueda, Robert – British Journal of Educational Technology, 2012
This study investigates possible relationships among motivational and learning variables (interest, self-efficacy and self-regulation) and three types of student engagement (behavioural engagement, emotional engagement and cognitive engagement) in a distance education setting. Participants were 203 students enrolled in online classes in the fall…
Descriptors: Learner Engagement, Electronic Learning, Self Efficacy, Gerontology
Sang, Guoyuan; Valcke, Martin; van Braak, Johan; Tondeur, Jo – Computers & Education, 2010
Student teachers should be prepared to integrate information and communication technology (ICT) into their future teaching and learning practices. Despite the increased availability and support for ICT integration, relatively few teachers intend to integrate ICT into their teaching activities (e.g., Ertmer, 2005). The available research has thus…
Descriptors: Constructivism (Learning), Preservice Teachers, Self Efficacy, Path Analysis
Hsu, Wen-Kai K.; Huang, Show-Hui S. – Journal of Educational Computing Research, 2006
The purpose of this article is to discuss determinants of computer self-efficacy from the perspective of participant internal learning motivations and external learning environments. The former consisted of three motivations--interest, trend, and employment--while the latter comprised two environments--home and school. Through an intermediate…
Descriptors: Family Environment, Educational Environment, Computer Uses in Education, Causal Models
