Yun‐Cheng Tsai
Biographic Data
| ID | 7879698 |
|---|---|
| NAME | Yun‐Cheng Tsai |
| GIVEN NAMES | Yun‐Cheng |
| FAMILY NAME | Tsai |
| SIGNATURE | TSAI Y C |
| AFFILIATIONS | Soochow University |
| ORCID | 0000-0002-6266-7260 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Learner-Centered Analysis in Educational Metaverse Environments
Amid Education 4.0 and the Fourth Industrial Revolution, we explore the integration of self-directed learning within the metaverse. This study envisions empowered learners, merging the metaverse’s immersive potential with self-directed learning. Using text mining and co-occurrence analysis for student responses prompts questions about their preference over traditional methods. Text mining extracts nuanced insights from open-ended responses, surpa…
Historical Typhoon Search Engine Based on Track Similarity
The potential effect of a typhoon track on the extent of damage makes the track a critical factor during the emergency response phase. Historical typhoon data may provide information for decision makers to anticipate the impact of an upcoming typhoon and develop prevention strategies to reduce the damage. In our preliminary work, we proposed a track similarity algorithm and implemented a real-time search engine for past typhoon events. However, t…
No prominent works on this page.
Historical Typhoon Search Engine Based on Track Similarity
The potential effect of a typhoon track on the extent of damage makes the track a critical factor during the emergency response phase. Historical typhoon data may provide information for decision makers to anticipate the impact of an upcoming typhoon and develop prevention strategies to reduce the damage. In our preliminary work, we proposed a track similarity algorithm and implemented a real-time search engine for past typhoon events. However, t…
Learner-Centered Analysis in Educational Metaverse Environments
Amid Education 4.0 and the Fourth Industrial Revolution, we explore the integration of self-directed learning within the metaverse. This study envisions empowered learners, merging the metaverse’s immersive potential with self-directed learning. Using text mining and co-occurrence analysis for student responses prompts questions about their preference over traditional methods. Text mining extracts nuanced insights from open-ended responses, surpa…
Computer Science (2 works) · Adaptability (1 work) · Artificial Intelligence (1 work) · Data mining (1 work) · Data science (1 work) · Ecology (1 work) · Education and Learning Interventions (1 work) · Engineering (1 work) · Flood Risk Assessment and Management (1 work) · Geography (1 work)