컨텐츠 시작
학술대회/행사
초록검색
| 제출번호(No.) | 0237 |
|---|---|
| 분류(Section) | Contributed Talk |
| 분과(Session) | (ME) Mathematical Education (ME) |
| 발표시간(Time) | 19th-B-13:20 -- 13:40 |
| 영문제목 (Title(Eng.)) |
The effects of high school |
| 저자(Author(s)) |
Sangju Ryu1, Woohyeok Kang1, Jaehyeon Park1, Jinmyoung Seok1 Seoul National University1 |
| 초록본문(Abstract) | This paper studies the effects and causal mechanism of teacher training in the high school <Artificial Intelligence Mathematics> course from 2021 on efficacy. We apply the theory of causal inference developed by Pearl, J. as a method for identifying causal mechanism. Based on previous studies, we search for variables that affect the treatment and outcome variables and draw a directed acyclic graph to confirm the effects among the whole sample. Moreover, we infer the causal mechanism by analyzing the differences in effects among the subgroups of the whole sample space. Based on this study, we suggest implications for teacher training in the <Artificial Intelligence Mathematics> course. |
| 분류기호 (MSC number(s)) |
97B50 |
| 키워드(Keyword(s)) | Artificial intelligence mathematics, teacher training, personal teaching efficacy, causal inference, directed acyclic graphs |
| 강연 형태 (Language of Session (Talk)) |
Korean |