Publication Date
| In 2025 | 0 |
| Since 2024 | 2 |
| Since 2021 (last 5 years) | 2 |
Descriptor
Source
| Interactive Learning… | 2 |
Author
| Baoqing Song | 1 |
| Boning Fu | 1 |
| Fong-Ming Shyu | 1 |
| Gongxin Jiang | 1 |
| Gwo-Jen Hwang | 1 |
| Jun Wu | 1 |
| Lu-Ho Hsia | 1 |
| Min-Chi Chiu | 1 |
| Yilin Dai | 1 |
| Yunji Cai | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| China (Beijing) | 1 |
| Taiwan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkBaoqing Song; Yilin Dai; Boning Fu; Gongxin Jiang; Yunji Cai; Jun Wu – Interactive Learning Environments, 2024
Aesthetic literacy originates from rich aesthetic experiences, one of the principal ways people gain such experiences is through arts appreciation. Sixty-seven students participated in 119 art appreciation activities at out-of-school public art venues in China. A digital education platform was used to record students' appreciation process. A…
Descriptors: Artificial Intelligence, Aesthetics, Learning Experience, Informal Education
Min-Chi Chiu; Gwo-Jen Hwang; Lu-Ho Hsia; Fong-Ming Shyu – Interactive Learning Environments, 2024
In a conventional art course, it is important for a teacher to provide feedback and guidance to individual students based on their learning status. However, it is challenging for teachers to provide immediate feedback to students without any aid. The advancement of artificial intelligence (AI) has provided a possible solution to cope with this…
Descriptors: Art Education, Artificial Intelligence, Teaching Methods, Comparative Analysis
