Development of AI Liberal Arts Curriculum for the General Public

Yunjae Jang (1), Ilkyu Yoon (2), Hosung Woo (3)
(1) SW Convergence Education Center, Sahmyook University, Seoul, 01795, Republic of Korea
(2) Korea Foundation for the Advancement of Science & Creativity, Seoul, 06130, Republic of Korea
(3) Department of e-Learning, Graduate School, Korea National Open University, Seoul 03087, Republic of Korea
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How to cite (IJASEIT) :
Jang, Yunjae, et al. “Development of AI Liberal Arts Curriculum for the General Public”. International Journal on Advanced Science, Engineering and Information Technology, vol. 13, no. 5, Oct. 2023, pp. 1978-83, doi:10.18517/ijaseit.13.5.19057.
Extending beyond technology, artificial intelligence (AI) is fundamentally changing how people live. It plays a key role in determining the competitiveness of countries and companies and is expected to change the competitive landscape of existing industries fundamentally. The better people understand AI, the better they can utilize it effectively and safely. Therefore, preparing a strategy to ensure that all citizens have access to AI education is important. This study aims to develop an AI liberal arts curriculum to improve the general public’s ability to utilize and understand AI. Through literature analysis, AI core competencies for the general public were derived. The core competencies are Adaptability, Public Interest Consideration, Creative and Convergent Thinking, Collaboration, Computational Thinking, and Artificial Intelligence Literacy. The AI curriculum was designed considering AI core competencies, and the validity of the experts was verified for AI technology and education experts. We also conducted a comparative analysis of the content and level of AI curriculum for the general public based on the results of word frequency and topic modeling analysis of AI education-related papers collected from the Web of Science. The areas of the AI curriculum consisted of understanding artificial intelligence, application of artificial intelligence, and artificial intelligence. This study is significant in that the topics discovered are based on the frequency of words extracted from many AI education-related documents, and the results of topic modeling are considered in the curriculum development process.

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