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) | 4 |
Descriptor
Computer Attitudes | 4 |
Data Analysis | 4 |
Electronic Learning | 4 |
Foreign Countries | 3 |
Handheld Devices | 3 |
Educational Technology | 2 |
Usability | 2 |
Adoption (Ideas) | 1 |
Classification | 1 |
College Students | 1 |
Computer Literacy | 1 |
More ▼ |
Source
Asia-Pacific Education… | 1 |
Canadian Journal of Learning… | 1 |
European Journal of Training… | 1 |
International Review of… | 1 |
Author
Al Shibli, Ibtisam | 1 |
Badursha, Nabeela | 1 |
Chang, Chi-Cheng | 1 |
Chien, Tien-Chen | 1 |
Ching, Yu-Hui | 1 |
Hsu, Yu-Chang | 1 |
Liang, Chaoyun | 1 |
Sarrab, Mohamed | 1 |
Tseng, Ju-Shih | 1 |
Yan, Chi-Fang | 1 |
Publication Type
Journal Articles | 4 |
Reports - Research | 4 |
Information Analyses | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 2 |
Postsecondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Sarrab, Mohamed; Al Shibli, Ibtisam; Badursha, Nabeela – International Review of Research in Open and Distributed Learning, 2016
Mobile learning (M-learning) provides a new learning channel in which learners can access content and just in time information as required irrespective of the time and location. Even though M-learning is fast evolving in many regions of the world, research addressing the driving factors of M-learning adoption is in short supply. This article…
Descriptors: Foreign Countries, Electronic Learning, Adoption (Ideas), Higher Education
Chang, Chi-Cheng; Liang, Chaoyun; Yan, Chi-Fang; Tseng, Ju-Shih – Asia-Pacific Education Researcher, 2013
Mobile learning, with its features of ubiquitousness and flexibility, enables users to learn in any appropriate place and at any appropriate time. This emerging way of digital learning will be the future trend. Therefore, the technology acceptance model (TAM) proposed by Davis was extended with extrinsic motivation, perceived convenience, and…
Descriptors: College Students, Student Motivation, Intention, Electronic Learning
Hsu, Yu-Chang; Ching, Yu-Hui – Canadian Journal of Learning and Technology, 2015
Mobile learning has become increasingly popular in the past decade due to the unprecedented technological affordances achieved through the advancement of mobile computing, which makes ubiquitous and situated learning possible. At the same time, there have been research and implementation projects whose efforts centered on developing mobile…
Descriptors: Electronic Learning, Instructional Design, Classification, Models
Chien, Tien-Chen – European Journal of Training and Development, 2012
Purpose: The purpose of this study is to investigate the influences of system and instructor factors on e-learning effectiveness under the interactions of computer self-efficacy. In this study, the factors of the e-learning system are functionality, interaction, and response. The factors of the e-learning instructor are attitude, technical skills,…
Descriptors: Electronic Learning, Financial Services, Self Efficacy, Instructional Effectiveness