| Presentation | 2023-03-14 Exploring AI learning Infrastructure at a Healtlcare University Ryoka Seto, Koji Ono, Misako Kitae, Kazuya Imaizumi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Tokyo Healthcare University is an health university in the health field that trains professionals in nursing, nutrition, and information technology. Education in data science is important because the university's philosophy is to develop human resources who can solve social issues from new perspectives in the 21st century, when the knowledge society is realized. On the other hand, because time is allocated to specialized education for the medical profession, classes involving the use of open data and AI exercises are not sufficient. Therefore, we conducted a syllabus comparison with similar universities to sort out the issues. The results showed that AI education at universities in the health field mainly consists of compulsory liberal arts courses such as data science and information literacy, and elective specialized courses such as medical informatics. In both cases, there are few examples of education using actual health data, suggesting the need to improve the infrastructure for training. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Data Science / Health Informatics / AI Education |
| Paper # | ET2022-77 |
| Date of Issue | 2023-03-07 (ET) |
| Conference Information | |
| Committee | ET |
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| Conference Date | 2023/3/14(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokushima University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | AI Education Design, etc. |
| Chair | Kenji Watanabe(Hiroshimai Univ.) |
| Vice Chair | Hisayoshi Kunimune(Chiba Inst. of Tech.) |
| Secretary | Hisayoshi Kunimune(Mejiro Univ.) |
| Assistant | Kazuaki Yoshihara(Kinki Univ.) / Toru Kano(Tokyo University of Science) |
| Paper Information | |
| Registration To | Technical Committee on Educational Technology |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Exploring AI learning Infrastructure at a Healtlcare University |
| Sub Title (in English) | |
| Keyword(1) | Data Science |
| Keyword(2) | Health Informatics |
| Keyword(3) | AI Education |
| 1st Author's Name | Ryoka Seto |
| 1st Author's Affiliation | Tokyo Healthcare University(THCU) |
| 2nd Author's Name | Koji Ono |
| 2nd Author's Affiliation | Tokyo Healthcare University(THCU) |
| 3rd Author's Name | Misako Kitae |
| 3rd Author's Affiliation | Tokyo Healthcare University(THCU) |
| 4th Author's Name | Kazuya Imaizumi |
| 4th Author's Affiliation | Tokyo Healthcare University(THCU) |
| Date | 2023-03-14 |
| Paper # | ET2022-77 |
| Volume (vol) | vol.122 |
| Number (no) | ET-431 |
| Page | pp.pp.113-116(ET), |
| #Pages | 4 |
| Date of Issue | 2023-03-07 (ET) |