Publication Date
In 2025 | 1 |
Since 2024 | 4 |
Descriptor
Author
Ahmet Ayaz | 1 |
Andrew Kemp | 1 |
Cunling Bian | 1 |
Deliang Wang | 1 |
Edward Palmer | 1 |
Gaowei Chen | 1 |
Helen Thompson | 1 |
Kamil Çelik | 1 |
Matthew Christopher Myers | 1 |
Peter Strelan | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Dissertations/Theses -… | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 3 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Andrew Kemp; Edward Palmer; Peter Strelan; Helen Thompson – British Journal of Educational Technology, 2024
Many technology acceptance models used in education were originally designed for general technologies and later adopted by education researchers. This study extends Davis' technology acceptance model to specifically evaluate educational technologies in higher education, focusing on virtual classrooms. Prior research informed the construction of…
Descriptors: College Students, Educational Technology, Models, Student Attitudes
Kamil Çelik; Ahmet Ayaz – Educational Technology Research and Development, 2025
Technological advancements in recent years have accelerated the development of information and communication technologies, introducing numerous innovations. One prominent innovation is the concept of the metaverse, which has gained significant popularity and is increasingly influencing various sectors, including the economy, art, entertainment,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Computer Science Education
Matthew Christopher Myers – ProQuest LLC, 2024
This study uses an experimental comparative design to accomplish two primary goals related teachers' perceptions of automated writing evaluation (AWE) performance. First, it quantitatively and qualitatively examines teachers' perceptions of the accuracy and trustworthiness of differentially performing AWE models. Second, it synthesizes interview…
Descriptors: Language Arts, Teacher Attitudes, English Teachers, Automation
Deliang Wang; Cunling Bian; Gaowei Chen – British Journal of Educational Technology, 2024
Deep neural networks are increasingly employed to model classroom dialogue and provide teachers with prompt and valuable feedback on their teaching practices. However, these deep learning models often have intricate structures with numerous unknown parameters, functioning as black boxes. The lack of clear explanations regarding their classroom…
Descriptors: Artificial Intelligence, Dialogs (Language), Discourse Analysis, Trust (Psychology)