Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 37 |
Descriptor
Computer Attitudes | 38 |
Intention | 38 |
Questionnaires | 38 |
Foreign Countries | 32 |
Student Attitudes | 18 |
Educational Technology | 17 |
Structural Equation Models | 16 |
Self Efficacy | 15 |
Usability | 14 |
Technology Integration | 13 |
Models | 12 |
More ▼ |
Source
Author
Publication Type
Journal Articles | 38 |
Reports - Research | 37 |
Tests/Questionnaires | 2 |
Reports - Evaluative | 1 |
Education Level
Audience
Location
Taiwan | 5 |
Hong Kong | 3 |
China | 2 |
Ghana | 2 |
Malaysia | 2 |
South Korea | 2 |
Turkey | 2 |
Asia | 1 |
Botswana | 1 |
Germany | 1 |
Greece | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Computer Attitude Scale | 1 |
What Works Clearinghouse Rating
Matyokurehwa, Kanos; Rudhumbu, Norman; Mlambo, Chiedza P. – International Journal of Education and Development using Information and Communication Technology, 2020
The study sought to examine the intention to use smartphones technology as learning tools (mobile-learning) in universities in Botswana, with particular reference to a selected university. Preliminary investigations have shown that despite the high density of mobile phones in Botswana, very few of these devices seem to be used for learning…
Descriptors: Business Administration Education, Undergraduate Students, Telecommunications, Handheld Devices
Teo, Timothy; Zhou, Mingming; Noyes, Jan – Educational Technology Research and Development, 2016
This study tests the validity of an extended theory of planned behaviour (TPB) to explain teachers' intention to use technology for teaching and learning. Five hundred and ninety two participants completed a survey questionnaire measuring their responses to eight constructs which form an extended TPB. Using structural equation modelling, the…
Descriptors: Behavior Theories, Intention, Questionnaires, Structural Equation Models
Brezavšcek, Alenka; Šparl, Petra; Žnidaršic, Anja – EURASIA Journal of Mathematics, Science & Technology Education, 2017
The aim of the paper is to investigate the main factors influencing the adoption and continuous utilization of statistical software among university social sciences students in Slovenia. Based on the Technology Acceptance Model (TAM), a conceptual model was derived where five external variables were taken into account: statistical software…
Descriptors: Foreign Countries, Computer Software, College Students, Social Sciences
Gyamfi, Stephen Adu – International Journal of Education and Development using Information and Communication Technology, 2017
Despite the popularity of Web 2.0 technologies and their educational benefits in the 21st century classroom environment, their use for teaching and learning purposes is still very limited. This study extended the technology acceptance model (TAM) to empirically examine factors that determine Ghanaian geography student teachers' acceptance of Web…
Descriptors: Foreign Countries, Web 2.0 Technologies, Geography Instruction, Student Teachers
Fokides, Emmanuel – Contemporary Educational Technology, 2017
The study examines the factors affecting Greek pre-service teachers' intention to use computers when they become practicing teachers. Four variables (perceived usefulness, perceived ease of use, self-efficacy, and attitude toward use) as well as behavioral intention to use computers were used so as to build a research model that extended the…
Descriptors: Foreign Countries, Preservice Teachers, Student Attitudes, Technology Integration
Teo, Timothy; Milutinovic, Verica – Australasian Journal of Educational Technology, 2015
This study aims to examine the variables that influence Serbian pre-service teachers' intention to use technology to teach mathematics. Using the technology acceptance model (TAM) as the framework, we developed a research model to include subjective norm, knowledge of mathematics, and facilitating conditions as external variables to the TAM. In…
Descriptors: Foreign Countries, Preservice Teachers, Intention, Technology Integration
Padmavathi, M. – Journal on School Educational Technology, 2016
This study attempts to analyze student-teachers' attitude towards the use of computers for classroom teaching. Four dimensions of computer attitude on a Likert-type five-point scale were used: Affect (liking), Perceived usefulness, Perceived Control, and Behaviour Intention to use computers. The effect of student-teachers' subject area, years of…
Descriptors: Student Teachers, Student Teacher Attitudes, Computer Uses in Education, Intention
Teo, Timothy; Fan, Xitao; Du, Jianxia – Australasian Journal of Educational Technology, 2015
This study examined possible gender differences in pre-service teachers' perceived acceptance of technology in their professional work under the framework of the technology acceptance model (TAM). Based on a sample of pre-service teachers, a series of progressively more stringent measurement invariance tests (configural, metric, and scalar…
Descriptors: Preservice Teachers, Student Attitudes, Gender Differences, Computer Attitudes
Al-Azawei, Ahmed; Parslow, Patrick; Lundqvist, Karsten – Australasian Journal of Educational Technology, 2017
This study assesses learner perceptions of a blended e-learning system (BELS) and the feasibility of accommodating educational hypermedia systems (EHSs) according to learning styles using a modified version of the technology acceptance model (TAM). Recently, Moodle has been adopted by an Iraqi university alongside face-to-face (F2F) classrooms to…
Descriptors: Cognitive Style, Blended Learning, Computer Attitudes, Models
Tarhini, Ali; Scott, Michael James; Sharma, Sujeet Kumar; Abbasi, Muhammad Sharif – Electronic Journal of e-Learning, 2015
Really Simple Syndication (RSS) offers a means for university students to receive timely updates from virtual learning environments. However, despite its utility, only 21% of home students surveyed at a university in Lebanon claim to have ever used the technology. To investigate whether national culture could be an influence on intention to use…
Descriptors: Cross Cultural Studies, Cultural Differences, Technology Uses in Education, Technology Integration
Teo, Timothy – British Journal of Educational Technology, 2013
Technology acceptance is posited to be influenced by a variety of factors, including individual differences, social influences, beliefs, attitudes and situational influences (Agarwal, 2000; Teo, 2009a). A majority of the conceptualisations of technology acceptance have drawn on theories and models from social psychology, notably the theory of…
Descriptors: Comparative Analysis, Intention, Technology Integration, Educational Technology
del Barrio-García, Salvador; Arquero, José L.; Romero-Frías, Esteban – Educational Technology & Society, 2015
As long as students use Web 2.0 tools extensively for social purposes, there is an opportunity to improve students' engagement in Higher Education by using these tools for academic purposes under a Personal Learning Environment approach (PLE 2.0). The success of these attempts depends upon the reactions and acceptance of users towards e-learning…
Descriptors: Foreign Countries, Learning Experience, Electronic Learning, Satisfaction
Pullen, Darren; J-F; Swabey, Karen; Abadooz, M.; Sing, Termit Kaur Ranjit – Australian Educational Computing, 2015
Mobile technology coupled with Internet accessibility has increased not only how we communicate but also how we might engage in learning. The ubiquity of mobile technology, such as smart phones and tablet devices, makes it a valuable tool for accessing learning resources on the Internet. The unified theory of acceptance and use of technology…
Descriptors: Foreign Countries, Telecommunications, Handheld Devices, Educational Technology
Shin, Won Sug; Kang, Minseok – International Review of Research in Open and Distributed Learning, 2015
This study investigates online students' acceptance of mobile learning and its influence on learning achievement using an information system success and extended technology acceptance model (TAM). Structural equation modeling was used to test the structure of individual, social, and systemic factors influencing mobile learning's acceptance, and…
Descriptors: Virtual Universities, Electronic Learning, Computer Attitudes, Student Attitudes
Huang, Yong-Ming – Australasian Journal of Educational Technology, 2015
The use of collaborative technologies in learning has received considerable attention in recent years, but few studies to date have examined the factors that affect sequential and global learners' intention to use such technologies. Previous studies have shown that the learners of different learning styles have different needs for educational…
Descriptors: Technology Uses in Education, Intention, Performance Factors, Sequential Learning