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
| Educational Technology… | 3 |
Author
| Teo, Timothy | 2 |
| Baylor, Amy L. | 1 |
| Bazelais, Paul | 1 |
| Chiu, Thomas K. F. | 1 |
| Doleck, Tenzin | 1 |
| Huang, Fang | 1 |
| Kim, Yanghee | 1 |
| Lemay, David John | 1 |
| Sing, Chai Ching | 1 |
| Xing wei, Wang | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 2 |
| Reports - Evaluative | 1 |
Education Level
| Secondary Education | 2 |
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| Nepal | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkSing, Chai Ching; Teo, Timothy; Huang, Fang; Chiu, Thomas K. F.; Xing wei, Wang – Educational Technology Research and Development, 2022
As Artificial Intelligence (AI) is rapidly integrated into existing technologies which has brought forth the fourth industrial and learning revolution, designing curriculum for AI education has become an important strategic development for education authorities throughout the world. Framed broadly from the Theory of Planned Behavior, this study…
Descriptors: Secondary School Students, Intention, Technology Uses in Education, Artificial Intelligence
Teo, Timothy; Doleck, Tenzin; Bazelais, Paul; Lemay, David John – Educational Technology Research and Development, 2019
The question of what drives learners to adopt and use certain technologies over others, generally referred to as technology acceptance in the literature, is of interest to educational technology researchers, to policymakers, and developers in educational institutions. Technology acceptance models can inform adoption and implementation decisions.…
Descriptors: Educational Technology, Technology Uses in Education, Technology Integration, Internet
Kim, Yanghee; Baylor, Amy L. – Educational Technology Research and Development, 2006
This study was designed to examine the effects of the competency (low vs. high) and interaction type (proactive vs. responsive) of pedagogical agents as learning companions (PALs) on learning, self-efficacy, and attitudes. Participants were 72 undergraduates in an introductory computer-literacy course who were randomly assigned to one of four…
Descriptors: Instructional Design, Self Efficacy, Interaction, Competence
