Publication Date
In 2025 | 0 |
Since 2024 | 5 |
Since 2021 (last 5 years) | 6 |
Since 2016 (last 10 years) | 6 |
Since 2006 (last 20 years) | 6 |
Descriptor
Author
Gwo-Jen Hwang | 6 |
Yun-Fang Tu | 3 |
Lu-Ho Hsia | 2 |
Youmei Wang | 2 |
Chen-Chen Liu | 1 |
Chenchen Liu | 1 |
Dan Wang | 1 |
Fong-Ming Shyu | 1 |
Hai-Jie Wang | 1 |
Hanrui Gao | 1 |
Jan-Pan Hwang | 1 |
More ▼ |
Publication Type
Journal Articles | 6 |
Reports - Research | 6 |
Education Level
Higher Education | 5 |
Postsecondary Education | 5 |
Elementary Education | 1 |
Audience
Location
Taiwan | 2 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Hanrui Gao; Yi Zhang; Gwo-Jen Hwang; Sunan Zhao; Ying Wang; Kang Wang – Education and Information Technologies, 2024
Artificial Intelligence (AI) education in primary schools has received a great deal of attention globally, and it is thus important to investigate primary school students' perceptions and understanding of AI learning. Therefore, in this study, 673 drawings of conceptions of AI learning by third to sixth grade students were collected. Firstly, a…
Descriptors: Elementary School Students, Student Attitudes, Artificial Intelligence, Freehand Drawing
Chen-Chen Liu; Hai-Jie Wang; Dan Wang; Yun-Fang Tu; Gwo-Jen Hwang; Youmei Wang – Interactive Learning Environments, 2024
Teachers' instructional design skills influence their teaching practices and student learning performances. However, researchers have found that the traditional one-to-many model of preservice teacher education prevents preservice teachers from receiving timely and individualized feedback, making it difficult to fill in theoretical knowledge gaps…
Descriptors: Preservice Teachers, Instructional Design, Teaching Skills, Knowledge Level
Yun-Fang Tu; Gwo-Jen Hwang – Interactive Learning Environments, 2024
The present study employed the draw-a-picture technique and epistemic network analysis (ENA) to reveal university students' viewpoints on ChatGPT-supported learning, as well as the conceptions, roles, and educational objectives of ChatGPT-supported learning among university students with different learning attitudes. The results showed that…
Descriptors: College Students, Student Attitudes, Knowledge Level, Artificial Intelligence
Lu-Ho Hsia; Gwo-Jen Hwang; Jan-Pan Hwang – Interactive Learning Environments, 2024
To improve students' sports skills performance, it is important to engage them in reflective practice. However, in physical classes, a teacher generally needs to face a number of students, and hence it is almost impossible to provide detailed guidance or feedback to individual students. Scholars have been trying to use Artificial Intelligence (AI)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Physical Education, Feedback (Response)
Chenchen Liu; Jierui Hou; Yun-Fang Tu; Youmei Wang; Gwo-Jen Hwang – Interactive Learning Environments, 2023
Automated writing feedback supported by artificial intelligence (AI) techniques has attracted the attention of English as Foreign Language (EFL) researchers. However, there is insufficient evidence and inconsistent conclusions on the actual impacts of AI on students' writing skills. In addition, in the field of EFL writing, there are few studies…
Descriptors: Artificial Intelligence, Reflection, English (Second Language), Writing Instruction
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