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Image of Artificial Intelligence of Elementary Students by using Semantic Differential Scale

의미분별법을 이용한 초등학생의 인공지능에 대한 이미지

  • Ryu, Miyoung (Dept. of Computer Education, Gyeong-in National University of Education) ;
  • Han, Seonkwan (Dept. of Computer Education, Gyeong-in National University of Education)
  • 류미영 (경인교육대학교 컴퓨터교육과) ;
  • 한선관 (경인교육대학교 컴퓨터교육과)
  • Received : 2017.08.27
  • Accepted : 2017.09.26
  • Published : 2017.10.31

Abstract

In this study, we analyzed the image of artificial intelligence recognized by elementary students using semantic differential scale. First, we extracted 23 pairs of image adjectives related to perception of artificial intelligence. Adjectives were classified into three types related to recognition, emotion and ability and 827 elementary students were examined. Image factors were classified into four factors: convenience, technological progress, human-friendliness, and concern. As a result, they showed a clear image that artificial intelligence is clever, new, and complex but exciting. In comparison with variables, female students, coding experience and older students thought that artificial intelligence was more human-friendly and technological progressive.

본 연구는 인공지능에 대해 초등학생들이 최근 인식하고 있는 이미지를 분석하였다. 인공지능에 대한 인식과 관련된 이미지 형용사 23쌍을 추출하고 인식과 감성, 능력의 3가지 유형으로 구분하였다. 827명의 초등학생들을 대상으로 검사하여 이미지 요인을 편리성, 기술진보성, 인간친화성, 우려성의 4가지 요인으로 분류하였다. 검사결과 초등학생들은 인공지능이 똑똑하고 새로우며 복잡하지만 신나는 뚜렷한 이미지를 나타냈다. 변인별 비교에서 여학생, 코딩 경험 학생과 고학년이 인공지능에 대해 우려하는 이미지를 갖고 있었다. 반면 인공지능의 관심과 인식이 높은 학생이 인간 친화적이고, 편리하고, 기술 진보적이라는 이미지를 갖고 있었다.

Keywords

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  2. A Design-Based Research on Application of Artificial Intelligence(AI) Teaching-Learning Model in Elementary School vol.10, pp.2, 2017, https://doi.org/10.7236/ijasc.2021.10.2.201