Brain, Digital, & Learning

 Open access, Peer Reviewed

Indexed in KCI

pISSN 2384-2474
eISSN 2586-7490

RESEARCH ARTICLE

Systematic Instruction for Artificial Intelligence in Art Education -Based on ASSURE Model-

1Wando Geumil High School
2Korea National University of Education

Correspondence to hijung0524@knue.ac.kr

Brain, Digital, & Learning. Volume 12, Number 2, 231–242, June 2022. https://doi.org/10.31216/BDL.20220015
Received on March 15, 2022, Revised on June 7, 2022, Accepted on June 7, 2022, Published on June 30, 2022.
Copyright © 2022. Institute of Brain based Education, Korea National University of Education This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Artificial intelligence is bringing about a paradigm shift in all areas beyond simple a technical dimension. This researcher develops an art class guidance plan based on the ASSURE model to propose a systematic teaching-learning method in art classes using artificial intelligence. Previous studies that derived the application plan and possibility of artificial intelligence education in art education were examined and supplemented to devise content for the use of artificial intelligence in art subjects. In order to develop the envisioned content as a class guidance plan, I understood the ASSURE model that can systematically utilize technical media in class. This is because art classes using artificial intelligence essentially involve various technology media. The developed instructional plan is a total of four sessions, and in the first session, learners explore works that use the core of artificial intelligence technology as a medium for art and understand the relationship between artificial intelligence and art. In the second session, it consisted of activities in which learners manipulate and express artificial intelligence. In the 3rd and 4th sessions, the goal is to cooperate with artificial intelligence to newly examine the relationship between spherical art and non-disciplinary (abstract) art. The result of this study is to realize an understanding of systematic design for teachers using artificial intelligence in art subjects, It will be possible to provide a blueprint for future art education.
Keywords

Artificial intelligence in art education, ASSURE model, development of art teaching guide

Section