Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 5 |
Descriptor
Computer Attitudes | 6 |
Personality Traits | 6 |
Student Attitudes | 6 |
College Students | 4 |
Questionnaires | 4 |
Self Efficacy | 4 |
Age Differences | 3 |
Electronic Learning | 3 |
Foreign Countries | 3 |
Gender Differences | 3 |
Blended Learning | 2 |
More ▼ |
Source
ACM Transactions on Computing… | 1 |
Australasian Journal of… | 1 |
Bulletin of Education and… | 1 |
International Journal of… | 1 |
Journal of Information… | 1 |
Quarterly Review of Distance… | 1 |
Author
Adebowale, Olusegun | 1 |
Al-Azawei, Ahmed | 1 |
Amy J. Ko | 1 |
Contreras, Carlos L. M. | 1 |
Kanwal, Frasat | 1 |
Lundqvist, Karsten | 1 |
Mara Kirdani-Ryan | 1 |
Parslow, Patrick | 1 |
Sultan, Sarwat | 1 |
Tran, Khanh Ngo Nhu | 1 |
Publication Type
Journal Articles | 6 |
Reports - Research | 6 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 6 |
Postsecondary Education | 6 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
Computer Anxiety Scale | 1 |
NEO Five Factor Inventory | 1 |
What Works Clearinghouse Rating
Mara Kirdani-Ryan; Amy J. Ko – ACM Transactions on Computing Education, 2024
For computing to serve humanity, computing spaces must be safe for all individuals. While prior work has surfaced how hegemonic racial and gendered expectations manifest in computing, it has only indirectly attended to expectations surrounding neurodivergence. As computing stereotypes largely align with stereotypes of some neurodivergent…
Descriptors: Neurodevelopmental Disorders, Stereotypes, Disabilities, Computer Attitudes
Sultan, Sarwat; Kanwal, Frasat – Bulletin of Education and Research, 2017
In distance learning, an internet-based learning has been developed as a learning platform for courses, and a distance learner's acquisition depends on his/her personal characteristics. Thus the present study was planned to investigate personal attributes of distance learners that may contribute to their levels of computer anxiety and computer…
Descriptors: Distance Education, Educational Technology, Technology Uses in Education, Anxiety
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
Tran, Khanh Ngo Nhu – Journal of Information Technology Education: Research, 2016
This study examines factors that determine the attitudes of learners toward a blended e-learning system (BELS) using data collected by questionnaire from a sample of 396 students involved in a BELS environment in Vietnam. A theoretical model is derived from previous studies and is analyzed and developed using structural equation modeling…
Descriptors: Foreign Countries, Blended Learning, Electronic Learning, Educational Technology
Adebowale, Olusegun – International Journal of Education and Development using Information and Communication Technology, 2014
An online guidance and counselling services was established at the Obafemi Awolowo University (OAU) in December, 2010. This study was designed to examine the undergraduates' disposition to the online counselling services after 24 months. It also investigated the prevalent disposition, dispositional types and distribution of students across the…
Descriptors: Foreign Countries, Undergraduate Students, Student Attitudes, Measures (Individuals)
Contreras, Carlos L. M. – Quarterly Review of Distance Education, 2004
Demographic and personality variables and computer use were used to predict computer self-confidence with a sample of students enrolled in online college-credit classes. Computer self-confidence was measured with one 10-choice question. Demographic variables included age, annual income, geographic region, gender, and ethnicity. Computer use was…
Descriptors: Income, Age Differences, Ethnic Groups, Gender Differences