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
College Students | 3 |
Path Analysis | 3 |
Student Attitudes | 3 |
Difficulty Level | 2 |
Educational Technology | 2 |
Foreign Countries | 2 |
Handheld Devices | 2 |
Hypothesis Testing | 2 |
Intention | 2 |
Likert Scales | 2 |
Online Courses | 2 |
More ▼ |
Source
Journal of Educational… | 3 |
Author
Chen, Baiyun | 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 |
Vayre, Emilie | 1 |
Vonthron, Anne-Marie | 1 |
More ▼ |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Education Level
Higher Education | 3 |
Postsecondary Education | 2 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Raza, 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
Vayre, Emilie; Vonthron, Anne-Marie – Journal of Educational Computing Research, 2017
The aim of this study is to test a model of online learners' engagement, which integrates social support (from teachers, peers, and family members) and sense of community as direct and indirect factors, with academic self-efficacy playing a mediating role. Survey results based on a questionnaire administered to 255 students enrolled in an online…
Descriptors: Distance Education, Online Courses, Social Support Groups, Path Analysis
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