Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 51 |
Descriptor
Source
Computers & Education | 51 |
Author
Teo, Timothy | 4 |
Economides, Anastasios A. | 3 |
Liaw, Shu-Sheng | 3 |
Terzis, Vasileios | 3 |
Chen, Gwo-Dong | 2 |
Cheng, Bo | 2 |
Cheng, Hao-Yueh | 2 |
Hong, Jon-Chao | 2 |
Hwang, Ming-Yueh | 2 |
Lee, Chwee Beng | 2 |
Moridis, Christos N. | 2 |
More ▼ |
Publication Type
Journal Articles | 51 |
Reports - Research | 41 |
Reports - Evaluative | 9 |
Reports - Descriptive | 1 |
Education Level
Higher Education | 26 |
Postsecondary Education | 20 |
Elementary Secondary Education | 5 |
Adult Education | 4 |
Secondary Education | 4 |
Elementary Education | 2 |
High Schools | 2 |
Early Childhood Education | 1 |
Grade 6 | 1 |
Middle Schools | 1 |
Audience
Practitioners | 1 |
Teachers | 1 |
Location
China | 5 |
Singapore | 5 |
Taiwan | 3 |
Greece | 2 |
Spain | 2 |
Hong Kong | 1 |
Iran | 1 |
Japan | 1 |
Malaysia | 1 |
South Korea | 1 |
United Kingdom | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Terzis, Vasileios; Moridis, Christos N.; Economides, Anastasios A. – Computers & Education, 2013
The Information Systems (IS) community has put considerable effort on identifying constructs that may explain the initial/continuance use of computer based learning or assessment systems. This study is a further step toward IS continuance acceptance delivered in Computer Based Assessment (CBA) context. Specifically, it aims at the exploration of…
Descriptors: Computer Assisted Testing, Intention, Information Systems, Usability
Hung, Shiu-Wan; Cheng, Min-Jhih – Computers & Education, 2013
This study aimed to explore the relationship between knowledge sharing intentions and the perceptions of individual technology users who are members of virtual communities. We characterized learners' perceptions of new technological products or services by including both an individual's psychological state of readiness to accept technology and…
Descriptors: Student Attitudes, Technological Advancement, Technology, Structural Equation Models
Escobar-Rodriguez, Tomas; Monge-Lozano, Pedro – Computers & Education, 2012
The advent of information technologies to Universities has improved the teaching-learning process. Students can increase their learning skills using information technology. Those using the Moodle platform regularly seem to get better grades than those who rarely or never use it. This paper analyzes students' intention to use Moodle platforms to…
Descriptors: Business Administration, Intention, Information Technology, Educational Technology
Cheung, Ronnie; Vogel, Doug – Computers & Education, 2013
Collaborative technologies support group work in project-based environments. In this study, we enhance the technology acceptance model to explain the factors that influence the acceptance of Google Applications for collaborative learning. The enhanced model was empirically evaluated using survey data collected from 136 students enrolled in a…
Descriptors: Computer Attitudes, Adoption (Ideas), Models, Electronic Learning
Terzis, Vasileios; Moridis, Christos N.; Economides, Anastasios A. – Computers & Education, 2012
This study introduces emotional feedback as a construct in an acceptance model. It explores the effect of emotional feedback on behavioral intention to use Computer Based Assessment (CBA). A female Embodied Conversational Agent (ECA) with empathetic encouragement behavior was displayed as emotional feedback. More specifically, this research aims…
Descriptors: Feedback (Response), Computer Assisted Testing, Computer Uses in Education, Intention
Lee, Chwee Beng – Computers & Education, 2013
The use of computers for learning is often a complex issue which involves cognitive and metacognitive concerns. This gives rise to our interest in examining the intention to use technology with relation to regulation of cognition. The use of technology for learning would necessarily require learners to exercise a certain level of regulation over…
Descriptors: Telecommunications, Age Differences, College Students, Gender Differences
Lee, Doo Young; Lehto, Mark R. – Computers & Education, 2013
The present study was framed using the Technology Acceptance Model (TAM) to identify determinants affecting behavioral intention to use YouTube. Most importantly, this research emphasizes the motives for using YouTube, which is notable given its extrinsic task goal of being used for procedural learning tasks. Our conceptual framework included two…
Descriptors: Self Efficacy, Intention, Usability, Structural Equation Models
Factors Affecting University Instructors' Adoption of Web-Based Learning Systems: Case Study of Iran
Motaghian, Hediyeh; Hassanzadeh, Alireza; Moghadam, Davood Karimzadgan – Computers & Education, 2013
In many societies e-learning has become the main mechanism supporting distance education. Although e-learning efforts are considered to be a significant corporate investment, many surveys indicate high drop-out rates or failures. This research uses an integrated model in order to assessing the influence of IS-oriented, psychological and behavioral…
Descriptors: Foreign Countries, Usability, Intention, Electronic Learning
Hong, Jon-Chao; Hwang, Ming-Yueh; Chen, Yu-Ju; Lin, Pei-Hsin; Huang, Yao-Tien; Cheng, Hao-Yueh; Lee, Chih-Chin – Computers & Education, 2013
Museums in Taiwan have developed various digital archives, but few people have visited these digital archives. Therefore, this study designed a digital archaeology game for high school students to play. Based on the concept of "learning for playing" (i.e., players who want to win will study more), the digital archaeology game contest…
Descriptors: Computer Games, Archaeology, High School Students, Intention
Hwang, Ming-Yueh; Hong, Jon-Chao; Cheng, Hao-Yueh; Peng, Yu-Chi; Wu, Nien-Chen – Computers & Education, 2013
Do girls have more competition anxiety and exogenous cognitive load than equally able boys during the playing of stressful competitive on-line games? This question led to the adoption of a technology acceptance model to compare the influence factors of competitors in sequential and synchronous games. Confirmatory factor analysis of the data on 220…
Descriptors: Difficulty Level, Factor Analysis, Cognitive Processes, Females
Cheon, Jongpil; Lee, Sangno; Crooks, Steven M.; Song, Jaeki – Computers & Education, 2012
This study investigated the current state of college students' perceptions toward mobile learning in higher education. Mobile learning is a new form of learning utilizing the unique capabilities of mobile devices. Although mobile devices are ubiquitous on college campuses, student readiness for mobile learning has yet to be fully explored in the…
Descriptors: Electronic Learning, Higher Education, College Students, Campuses
Chen, Jian-Liang – Computers & Education, 2011
Discerning what influences a student's acceptance of e-learning is still unclear and has not been well investigated. On the basis of the expectancy-value theory, much effort has been put into identifying the effectual factors regarding the technological expectancy of students. However, aside from technological usage, the adoption of an e-learning…
Descriptors: Intention, Guidelines, Social Influences, Adoption (Ideas)
Teo, Timothy – Computers & Education, 2011
Among the key players in any effective integration of technology in teaching and learning is the teacher. Despite the research that has been conducted to examine the factors that explain teachers' intention to use technology, few have developed a model to statistically explain the interactions among these factors and how they influence teachers'…
Descriptors: Teacher Response, Intention, Statistical Data, Foreign Countries
Johnson, Michael D.; Diwakaran, Ram Prasad – Computers & Education, 2011
Computer-aided design (CAD) is a ubiquitous tool that today's students will be expected to use proficiently for numerous engineering purposes. Taking full advantage of the features available in modern CAD programs requires that models are created in a manner that allows others to easily understand how they are organized and alter them in an…
Descriptors: Computer Assisted Design, Correlation, Student Attitudes, Student Surveys
Lin, Kan-Min – Computers & Education, 2011
This study explores the determinants of the e-learning continuance intention of users with different levels of e-learning experience and examines the moderating effects of e-learning experience on the relationships among the determinants. The research hypotheses are empirically validated using the responses received from a survey of 256 users. The…
Descriptors: Electronic Learning, Intention, Learning Experience, Information Retrieval