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) | 5 |
Descriptor
Handheld Devices | 5 |
Path Analysis | 5 |
Statistical Analysis | 5 |
Student Attitudes | 5 |
Foreign Countries | 4 |
Telecommunications | 4 |
College Students | 3 |
Goodness of Fit | 3 |
Hypothesis Testing | 3 |
Likert Scales | 3 |
Questionnaires | 3 |
More ▼ |
Source
Journal of Educational… | 2 |
Australasian Journal of… | 1 |
Journal of American College… | 1 |
Journal of Research on… | 1 |
Author
Baek, Youngkyun | 1 |
Bonanomi, Andrea | 1 |
Cacciamani, Stefano | 1 |
Carissoli, Claudia | 1 |
Chen, Baiyun | 1 |
Cheng, Kun-Hung | 1 |
Cho, Jaehee | 1 |
Confalonieri, Emanuela | 1 |
Lee, H. Erin | 1 |
Mao, Jin | 1 |
Morganti, Laura | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Reports - Research | 5 |
Tests/Questionnaires | 2 |
Education Level
Higher Education | 3 |
Elementary Education | 1 |
High Schools | 1 |
Postsecondary Education | 1 |
Audience
Location
South Korea | 2 |
Italy (Milan) | 1 |
Taiwan | 1 |
United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
Cacciamani, Stefano; Villani, Daniela; Bonanomi, Andrea; Carissoli, Claudia; Olivari, Maria Giulia; Morganti, Laura; Riva, Giuseppe; Confalonieri, Emanuela – Journal of Research on Technology in Education, 2018
To maximize the advantages of the tablet personal computer (TPC) at school, this technology needs to be accepted by students as new tool for learning. With reference to the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology, the aims of this study were (a) to analyze factors influencing high school students'…
Descriptors: Student Attitudes, Attitude Measures, Handheld Devices, Telecommunications
Touati, 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
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
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