상세 보기
- 최현희;
- 이민정
WEB OF SCIENCE
0SCOPUS
0초록
This study proposes the RCA analysis process using the ARM and MSMM methods for deriving prerequisite relation between knowledge components(KC) of a knowledge graph and analyzed the results by applying it to elementary and middle school level math item evaluation data. This is meaningful in that the proposed process combines several methods that show the concept of conditional probability with different statistics, and the precision of the prerequsite relation analysis was increased by applying the MSMM method to the learning data considering the disparity. The prerequisite relation analysis model between KCs using ARM+MSMM proposed in this study can strengthen the knowledge graph by verifying the relationship of knowledge component in the curriculum based on learner data and contribute to additional suggesting hidden knowledge component relationships.
키워드
- 제목
- ARM과 MSMM을 활용한 지식 그래프의 선후관계 분석 : K-12 수학 문항 평가 데이터를 중심으로
- 제목 (타언어)
- Analysis of prerequisite relation in knowledge graph using ARM and MSMM: Focusing on problem evaluation data of K-12 math
- 저자
- 최현희; 이민정
- 발행일
- 2022-06
- 저널명
- 디지털컨텐츠학회논문지
- 권
- 23
- 호
- 6
- 페이지
- 1131 ~ 1140