Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 7 |
Descriptor
Handheld Devices | 7 |
Path Analysis | 7 |
Questionnaires | 7 |
College Students | 5 |
Student Attitudes | 5 |
Foreign Countries | 4 |
Hypothesis Testing | 4 |
Likert Scales | 4 |
Difficulty Level | 3 |
Intention | 3 |
Statistical Analysis | 3 |
More ▼ |
Source
Journal of Educational… | 2 |
Australasian Journal of… | 1 |
Computer Assisted Language… | 1 |
Journal of American College… | 1 |
Journal of Information… | 1 |
Turkish Online Journal of… | 1 |
Author
Chang, Chih-Kai | 1 |
Chang, Yi Hsing | 1 |
Chen, Baiyun | 1 |
Chen, Hsiu-Ju | 1 |
Cheng, Kun-Hung | 1 |
Cho, Jaehee | 1 |
Hsu, Ching-Kun | 1 |
Lee, H. Erin | 1 |
Liu, Jen-ch'iang | 1 |
Makhdoom, Murk | 1 |
Mao, Jin | 1 |
More ▼ |
Publication Type
Journal Articles | 7 |
Reports - Research | 7 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 5 |
Elementary Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Taiwan | 2 |
Pakistan | 1 |
South Korea | 1 |
United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Chen, Hsiu-Ju – Journal of Information Technology Education: Research, 2017
Aim/Purpose: This study explores the associations between elementary school learners' m-learning and learner satisfactions based on the technology-mediated learning model. Background: M-learning (mobile learning) is emerging, but its role in elementary education still needs clarification. Methodology: Questionnaires were mailed to several…
Descriptors: Electronic Learning, Elementary Education, Elementary School Students, Student Satisfaction
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
Cheng, Kun-Hung – Australasian Journal of Educational Technology, 2017
Since augmented reality (AR) has been increasingly applied in education recently, the investigation of students' learning experiences with AR could be helpful for educators to implement AR learning. With a quantitative survey using three questionnaires, this study explored the relationships among 153 students' perceived cognitive load, motivation,…
Descriptors: Cognitive Processes, Difficulty Level, Learning Experience, Statistical Analysis
Cho, Jaehee; Lee, H. Erin; Quinlan, Margaret – Journal of American College Health, 2017
Objective: Based on the technology acceptance model (TAM), we explored the nationally-bounded roles of four predictors (subjective norms, entertainment, recordability, and networkability) in determining the TAM variables of perceived usefulness (PU), perceived ease of use (PEOU), and behavioral intention (BI) to use diet/fitness apps on…
Descriptors: Cross Cultural Studies, Telecommunications, Handheld Devices, College Students
Chang, Yi Hsing; Liu, Jen-ch'iang – Turkish Online Journal of Educational Technology - TOJET, 2013
Since AR can display 3D materials and learner motivation is enhanced in a situated learning environment, this study explores the learning effectiveness of learners when combining AR technology and the situation learning theory. Based on the concept of embedding the characteristics of augmented reality and situated learning into a real situation to…
Descriptors: Electronic Learning, Computer Simulation, Blended Learning, Computer Attitudes
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
Chang, Chih-Kai; Hsu, Ching-Kun – Computer Assisted Language Learning, 2011
This research introduced mobile devices into an intensive reading course and allowed functions that are usually found only in the language laboratory to be easily and flexibly utilized in the general classroom. To enhance and improve the reading comprehension of English as a foreign language (EFL) readers, a computer-assisted-language-learning…
Descriptors: Reading Comprehension, Translation, Path Analysis, Language Laboratories