Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Academic Achievement | 2 |
Cognitive Style | 2 |
College Students | 2 |
Computer Software | 2 |
Foreign Countries | 2 |
Individualized Instruction | 2 |
Programming Languages | 2 |
Remedial Instruction | 2 |
Artificial Intelligence | 1 |
At Risk Students | 1 |
Cognitive Structures | 1 |
More ▼ |
Author
Albert C. M. Yang | 1 |
Anna Y. Q. Huang | 1 |
Chen, Ling-Hsiu | 1 |
Hiroaki Ogata | 1 |
Jei Wei Chang | 1 |
Ruo Xuan Yen | 1 |
Shun Ting Li | 1 |
Stephen J. H. Yang | 1 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 2 |
Postsecondary Education | 2 |
Audience
Location
Taiwan | 2 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
Chen, Ling-Hsiu – Computers & Education, 2011
Although conventional student assessments are extremely convenient for calculating student scores, they do not conceptualize how students organize their knowledge. Therefore, teachers and students rarely understand how to improve their future learning progress. The limitations of conventional testing methods indicate the importance of accurately…
Descriptors: Foreign Countries, Educational Technology, Cognitive Style, Self Efficacy