Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Accuracy | 1 |
| Artificial Intelligence | 1 |
| Barriers | 1 |
| Computer Software | 1 |
| Data Analysis | 1 |
| Educational Research | 1 |
| Efficiency | 1 |
| Learning Analytics | 1 |
| Learning Processes | 1 |
| Natural Language Processing | 1 |
| Teaching Methods | 1 |
| More ▼ | |
Source
| TechTrends: Linking Research… | 1 |
Author
| Gyeonggeon Lee | 1 |
| Xiaoming Zhai | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkGyeonggeon Lee; Xiaoming Zhai – TechTrends: Linking Research and Practice to Improve Learning, 2025
Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
