Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 2 |
| Since 2006 (last 20 years) | 3 |
Descriptor
Source
| Journal of Educational… | 3 |
Author
| Chen, Baiyun | 1 |
| Lin, Chin-Hsi | 1 |
| Liu, Haixia | 1 |
| Makhdoom, Murk | 1 |
| Mao, Jin | 1 |
| Qazi, Wasim | 1 |
| Raza, Syed Ali | 1 |
| Seilhamer, Ryan | 1 |
| Sivo, Stephen | 1 |
| Sugar, Amy | 1 |
| Umer, Amna | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
| Higher Education | 2 |
| Elementary Secondary Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| Pakistan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkRaza, Syed Ali; Umer, Amna; Qazi, Wasim; Makhdoom, Murk – Journal of Educational Computing Research, 2018
This study intends to analyze the influence of behavioral and psychosocial factors of higher education students of Karachi on acceptance of m-learning as a mode of getting education. The Theory of Planned Behavior and Technology Acceptance Model have provided the basic frameworks to formulate the hypotheses for this study. The analyses of the…
Descriptors: Foreign Countries, College Students, Student Attitudes, Social Influences
Liu, Haixia; Lin, Chin-Hsi; Zhang, Dongbo; Zheng, Binbin – Journal of Educational Computing Research, 2018
This study examined internal and external factors affecting pedagogical use of technology among 47 K-12 Chinese language teachers in the United States. Path analysis of the survey data was used to examine the relationships between the teachers' instructional use of technology, on the one hand, and on the other, their perceptions of three internal…
Descriptors: Educational Technology, Technology Uses in Education, Elementary Secondary Education, Language Teachers
Chen, Baiyun; Sivo, Stephen; Seilhamer, Ryan; Sugar, Amy; Mao, Jin – Journal of Educational Computing Research, 2013
Mobile learning is a fast growing trend in higher education. This study examined how an extended technology acceptance model (TAM) could evaluate and predict the use of a mobile application in learning. A path analysis design was used to measure the mediating effects on the use of Blackboard's Mobile™ Learn application in coursework (N = 77). The…
Descriptors: Telecommunications, Higher Education, Handheld Devices, Educational Technology
