인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
The aims of this study are two-fold: to analyze the test items for English education of the secondary school English teacher recruitment examinations conducted between the years 2009 to 2019 and to explore the possibility of examining the test items based on keyword analysis. For this, a ‘test item’ corpus was compiled, comprising all the test items about English education from 2009 to 2019. From this corpus, keywords for each year were extracted using a corpus analysis program to identify the features of each year’s test items, and the keywords were classified into five sub-fields of English education and were compared with the sub-field classification from previous studies. The results revealed that keywords related to teaching 4 skills appeared most frequently in almost every examination even though keywords associated with each sub-domain were not evenly distributed. On the other hand, this keyword analysis was found to be a valid way of identifying the characteristics of each year’s test items in that the result from keyword-based item classification was similar to that from content-based item classification.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2019-740-000986105
