Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Author
Albert C. M. Yang | 1 |
Anna Y. Q. Huang | 1 |
Chi-Jane Wang | 1 |
Chin-Feng Lai | 1 |
Hiroaki Ogata | 1 |
Hoe-Yuan Ong | 1 |
Hsiu-Chen Weng | 1 |
Hua-Xu Zhong | 1 |
Jei Wei Chang | 1 |
Jui-Hung Chang | 1 |
Ruo Xuan Yen | 1 |
More ▼ |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 3 |
Audience
Location
Taiwan | 3 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Yun-Fang Tu – Educational Technology & Society, 2024
With the rapid development of generative artificial intelligence (GAI), the performance and usability of related tools, such as ChatGPT, have significantly improved. The advancement has fostered researchers to increasingly focus on students' perceptions and application of the roles, functionalities, and interaction patterns of these tools in…
Descriptors: Artificial Intelligence, Interaction, Undergraduate Students, Student Attitudes
Jui-Hung Chang; Chi-Jane Wang; Hua-Xu Zhong; Hsiu-Chen Weng; Yu-Kai Zhou; Hoe-Yuan Ong; Chin-Feng Lai – Educational Technology Research and Development, 2024
Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…
Descriptors: Artificial Intelligence, Technological Advancement, Student Evaluation, Models
Anna Y. Q. Huang; Jei Wei Chang; Albert C. M. Yang; Hiroaki Ogata; Shun Ting Li; Ruo Xuan Yen; Stephen J. H. Yang – Educational Technology & Society, 2023
To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…
Descriptors: Academic Achievement, Tutoring, Artificial Intelligence, Individualized Instruction