DOI QR코드

DOI QR Code

AI education perception of pre-service teachers according to AI learning experience, Interest in AI education, and Major

AI 학습경험, AI 교육 관심도 및 전공학과에 따른 예비교사의 AI 교육 인식

  • Park, SunJu (Dept. of Computer Science Education, Gwangju National University of Educatio)
  • 박선주 (광주교육대학교 컴퓨터교육과)
  • Received : 2020.12.30
  • Accepted : 2020.01.14
  • Published : 2021.02.26

Abstract

With the development of AI technology, AI education will be introduced into Korean school curriculum. Therefore, in this thesis, for the AI education of pre-service teachers, we first analyze the perception of AI and AI education by pre-service teachers. We used the Questionnaire on AI education awareness to analyze how AI learning experiences, interest in AI education, and major departments affect thinking about AI, the need for AI education in elementary school, and negative perception of AI education. As a result of the analysis, the more students who have received AI learning, the higher their interest in AI education, the more major students, they perceived AI positively, had low resistance to AI education, and thought that elementary AI education was necessary. AI learning is an important factor in learners' perception of AI, the AI curriculum should be researched so that AI education of teacher's colleges can be systematically progressed.

AI 기술발전에 따라 우리나라 학교 교육과정에도 AI 교육이 도입된다. 본 논문에서는 예비교사들의 AI 교육을 위해 AI와 AI 교육에 대한 예비교사들의 인식을 분석하였다. 이를 위해 AI 교육 인식 설문도구를 사용하여 AI 학습경험, AI 교육 관심도 및 전공학과에 따라 AI에 대한 생각, 초등 AI 교육 필요성, AI 교육에 대한 저항감에 어떤 영향을 미치는지를 분석하였다. 분석결과, AI 교육을 받은 학생일수록 AI 교육 관심도가 높을수록 전공학생일수록 AI를 긍정적으로 인식하고 본 AI 교육에 대한 저항감이 낮으며 초등 AI 교육이 필요하다고 생각하였다. AI 학습이 학습자들의 AI 인식에 중요한 요인으로 작용되므로 교원양성대학의 AI 교육이 체계적으로 진행될 수 있도록 AI 교육과정 등이 연구되어야 할 것이다.

Keywords

References

  1. Bryant, J., Heitz, C., Sanghvi, S., & Wagle, D.(2020). How artificial intelligence will impact K-12 teachers. McKinsey & Company.
  2. Eunkyoung Lee(2020). A Comparative Analysis of Contents Related to Artificial Intelligence in National and International K-12 Curriculum, The Journal of Korean association of computer education 23(1), 37-44. https://doi.org/10.32431/KACE.2020.23.1.003
  3. Hyein Ryu, Ara Ko & Jungwon Cho(2019). Suggestion of Artificial Intelligence Education Strategy for Primary and Secondary School, The prceeding of Korean Information Science Society, 763-765.
  4. JongHyang Park & NaMin Shin(2017). Students perceptions of Artificial Intelligence Technology and Artificial Intelligence Teacher, The Journal of Korean Teacher Education, 34(2), 169-192. https://doi.org/10.24211/TJKTE.2017.34.2.169
  5. Jungah Yoo(2019). A study on AI Education in Graduate School through IPA, Journal of The Korean Association of Information Education 23(6), 675-687. https://doi.org/10.14352/jkaie.2019.23.6.675
  6. Kapsu Kim, Dukhoi Koo, Seongbaeg Kim, Soohwan Kim, Yungsik Kim, Jamee Kim, Jaehyoun Kim, Changsuk Kim, Chul Kim, Hanil Kim, Hyeoncheol Kim, Namje Park, Jungho Park, Phanwoo Park, Insoon Seo, Jungyun Seo, Younghoon Sung, Taeok Song, Youngjun Lee, Jaeho Lee, Jungseo Lee, Hyeonah Lee, Hyeongok Lee, Soojin Jun, Yongju Jeon, Youngsik Jeong, Inkee Jeong, Sookyoung Choi, Jeongwon Choi & Sungwan Han(2020). Development a Standard Curriculum Model of Next-generation Software Education, Journal of The Korean Association of Information Education 24(4), 337-367. https://doi.org/10.14352/jkaie.2020.24.4.337
  7. Miyoung Ryu, Seonkwan Han(2017). Image of Artificial Intelligence of Elementary Students by using Semantic Differential Scale, Journal of The Korean Association of Information Education 21(5), 1-9. https://doi.org/10.14352/jkaie.21.1.1
  8. Miyoung Ryu, SeonKwan Han(2018). The Educational Perception on Artificial Intelligence by Elementary School Teachers, Journal of The Korean Association of Information Education 22(3), 317-324. https://doi.org/10.14352/jkaie.2018.22.3.317
  9. Sein Shin, Minsu Ha & Junki Lee(2017). High School Students' Perception of Artificial Intelligence: Focusing on Conceptual Understanding, Emotion and Risk Perception. Journal of Learner-Centered Curriculum and Instruction 17(21), 289-312.
  10. Soohwan Kim, Seonghun Kim & Hyeoncheol Kim(2019). Analysis of International Educational Trends and Learning Tools for Artificial Intelligence Education, Proceeding of The Korean Association of Computer Education 23(2), 25-28.
  11. Soohwan Kim, Seonghun Kim, Minjeong Lee & Hyeoncheol Kim(2020). Review on Artificial Intelligence Education for K-12 Students and Teachers, The Korean Association of Computer Education 23(4), 1-11. https://doi.org/10.32431/kace.2020.23.1.001
  12. SooYoung Lee(2020). Elementary School Teachers' Understanding and Awareness of AI Education, The Journal of Korea Elementary Education 31, 15-31.
  13. Suna Kyun, Jaekyung Yi & Sukjin Kwon(2018). Students' perception of universities' introduction of artificial intelligence and of the artificial intelligence professors, The Journal of Educational Research 16(3), 77-101.
  14. Suna Kyun & Sukjin Kwon(2018). Pre-service Early Childhood Teachers' Recognition of Artificial Intelligence and Artificial Intelligence Teachers, Global Creative Leader. Education & Learning 8(4), 87-102. https://doi.org/10.5539/jel.v8n1p87
  15. Youngho Lee(2019). An Analysis of the Influence of Block-type Programming Language-Based Artificial Intelligence Education on the Learner's Attitude in Artificial Intelligence, Journal of The Korean Association of Information Education 23(2), 189-196. https://doi.org/10.14352/jkaie.2019.23.2.189
  16. Zimmerman, M.(2018). Teaching AI. Exploring New Frontiers for Learning, Portland, Oregon. International Society for Technology in Education.