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수학교과에서 자동문항생성 기반의 디지털 평가 활용 방안: CAFA 시스템을 중심으로

The utility of digital evaluation based on automatic item generation in mathematics: Focusing on the CAFA system

  • 투고 : 2022.10.05
  • 심사 : 2022.10.21
  • 발행 : 2022.11.30

초록

본 연구의 목적은 수학 교과에서 자동문항생성을 활용하여 지식의 핵심 구조인 온톨로지모형 기반의 문항모형을 CAFA 시스템을 통해 제작하는 절차를 명세하고, 생성된 문항 사례들을 탐색하는 데 있다. 이를 위한 사례로 수학 3의 대푯값과 산포도 단원의 평가준거 성취기준을 바탕으로 개념과 계산을 포함한 내용적 특성과 적용을 포함한 과정적 특성을 바탕으로 형성평가에 적합한 문항모형을 제작하였다. 하나의 문항모형에서 생성된 문항 유형은 최선답형, 정답형, 합답형, 미완성문장형, 부정형, 진위형, 배합형 등이었으며, 매체로는 Google Chart, HTML, TTS, 그림, 비디오 등을 활용할 수 있는 것으로 나타났다. 이를 바탕으로 자동문항생성 기반의 디지털 평가 활용방안에 대한 시사점을 학생, 예비교사, 일반교사 그리고 특수교육 측면에서 논의하고, 본 연구의 한계점과 향후 연구방향을 제시하였다.

The purpose of this study is to specify the procedure for making item models based on ontology models using automatic item generation in the mathematics subject through the CAFA system, and to explore the generated item instances. As an illustration for this, an item model was designed as a part of formative assessment based on the content characteristics, including concepts and calculations, and process characteristics, including application, using the representative values and the measures of dispersion in Mathematics of the 9th grade based on the evaluation criteria achievement standards. The item types generated in one item model were a best answer type, a correct answer type, a combined-response type, an incomplete statement type, a negative type, a true-false type, and a matching type. It was found that HTML, Google Charts, TTS, figures, videos and so on can be used as media. The implications of the use of digital evaluation based on automatic item generation were suggested in the aspects of students, pre-service teachers, general teachers, and special education, and the limitations of this study and future research directions were presented.

키워드

과제정보

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No.2022R1A2C1010310). I would like to thank three anonymous reviewers and the editor for their valuable comments and suggestions to improve this paper. I would also like to thank Professor Jaehwa Choi (The Geroge Washington University) and Kyongil Yoon (Notre Dame of Maryland Univeristy) for their dedicated support in using the CAFA system.

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