Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 3 |
Descriptor
Source
Journal of Computer Assisted… | 3 |
Author
Dalgarno, B. | 1 |
Gokcora, Deniz | 1 |
Judd, T. | 1 |
Kao, C-P. | 1 |
Kennedy, G. | 1 |
Voorhees, Terry Tuvi | 1 |
Vorobel, Oksana | 1 |
Waycott, J. | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 2 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 2 |
Postsecondary Education | 2 |
Early Childhood Education | 1 |
Preschool Education | 1 |
Two Year Colleges | 1 |
Audience
Location
Australia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Vorobel, Oksana; Voorhees, Terry Tuvi; Gokcora, Deniz – Journal of Computer Assisted Learning, 2021
The widespread use of technology and the Internet have changed many of language learners' everyday practices, including literacies. While there have been many studies with the focus on language learners' digital literacies, few, however, have explored language learners' digital information literacy and online reading practices with the use of…
Descriptors: English Language Learners, Two Year College Students, Community Colleges, Technological Literacy
Kao, C-P. – Journal of Computer Assisted Learning, 2016
This study examined whether self-directed learning readiness (SDLR) moderates the association between Internet self-efficacy and approaches to learning by web searching (ALWS). A total of 329 valid questionnaires were used for the correlation and path analysis. The results revealed that preschool teachers' SDLR significantly moderated the…
Descriptors: Learning Readiness, Correlation, Self Efficacy, Technological Literacy
Kennedy, G.; Judd, T.; Dalgarno, B.; Waycott, J. – Journal of Computer Assisted Learning, 2010
Previously assumed to be a homogenous and highly skilled group with respect to information and communications technology, the so-called Net Generation has instead been shown to possess a diverse range of technology skills and preferences. To better understand this diversity, we subjected data from 2096 students aged between 17 and 26 from three…
Descriptors: Foreign Countries, Multivariate Analysis, Educational Technology, Misconceptions