Development of AI Liberal Arts Curriculum for the General Public

Yunjae Jang, Ilkyu Yoon, Hosung Woo


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.


AI; curriculum; AI education; AI curriculum; AI liberal arts

Full Text:



Jihye Choi, et al., "AI Chatbot’s Anthropomorphic Effects on Parasocial Interaction with AI Chatbot : The Mediating Effects of Perceived Homophily and Social Presence", The Korean Journal of Advertising and Public Relations, 24(4), 521-549, 2022

I. Yoo, et al., “A Study on the Future Directions according to Analysis of Necessity of AI Education,†Journal of The Korean Association of Information Education, Vol. 24 no. 5, pp. 423-431, 2020, DOI: 10.14352/jkaie.2020.24.5.423

K. Soohwan, et al., “Development a Standard Curriculum Model of Next-generation Software Education,†Journal of the Korean Association of Information Education (JKAIE), Vol. 24, no. 4, pp. 337-367. 2020. DOI: 10.14352/jkaie.2020.24.4.337

Sujin Yoo, et al., "Analysis of the relationship between AI competency and Computational Thinking of AI liberal arts class students", The Journal of Korean Association of Computer Education, 25(5), 15-26. 2022

Busan Metropolitan Office of Education, AI-Based Education Guidebook, Busan: Busan Metropolitan Office of Education, 2019.

J. Hong, “Development and Application of Connection, Expansion, and Emotion-Based Digital-AI Convergence (CEM-DAIC) Teaching-Learning Model for Improving Digital-AI Literacy of Elementary School Students,†Korea National University of Education Doctoral Dissertation, 2023.

Hwang HyeonJeong , et al., "A study on Conceptual Constructs of AI literacy with a Focus on AI literacy competence", Journal of Cybercommunication Academic Society, 40(2), 89-148. 2023

Im, D., “Research Report on Application Plans for Elementary and Middle School Artificial Intelligence Education,†Korea Foundation for the Advancement of Science and Creativity, pp. 8-15, 2022.

Jeong, Yeon Jae. "The Liberal Arts Education in the Post-Pandemic Era : From Speed Battle of Digital Transformation to Sustainable Future", The Journal of General Education, 22, 39-68. 2023

Shin, S. Shin and Seo, J. Seo, “An Analysis of Achievement Goals Changeability in a Software Liberal Arts Class,†The Journal of Korea Society of Computer and Information, Vol. 27, no. 8, pp. 271-281, 2022.

The White House, “Office of Science and Technology Plicy,†American Artificial Intelligence Initiative: Year One Annual Report, 2020.

K. Park, C. Quan, and H. Cho, “An Overview of AIrelatedLiberal Arts Education in Japan and China - A View of AI Literacy as Essential Part of Liberal Arts Education,†Journal of AI Humanities, Vol. 7. pp. 87-108, 2021. DOI:

Software Policy and Research Institute, “Trends in Talent Development Policies in Major Countries in the AI Era,†Monthly Software Oriented Society, 2019.

Y. IlKyu, C. HyangSook, et al., “The Development of AI Education Guideline for the Whole nation to Provide Quality AI Education and Learning Opportunities,†The Journal of Korean Association of Computer Education Academic Presentation Conference, Vol. 25, no. 2B, pp. 4-4, 2021.

Joint Ministries, “Artificial Intelligence (AI) National Strategy (2019.12),†Joint ministries, 2019.

I. Jeon, S. Kim, and K. Song, “Analysis of Artificial Intelligence Education Policy Trends and Educational Institution’s Operation Status in Korea,†In The Proceedings of Conference of the Korean Association of Computer Education, Vol. 25, no. 1. pp. 99-103, 2021.

Joint ministries, “A plan to spread AI/SW education to the whole nation. Joint ministries,†Journal of The Korean Association, Vol. 25, no. 2, pp. 423-436, 2020.

Ministry of Education, “Education Policy Direction and Core Tasks in the Age of Artificial Intelligence,†2020.

Byeongcheon Lee, et al., "A Case Study on Big Data Processing and Analysis Based on Text Mining: Focusing on Amazon Web Services in South Korea", The Journal of Society for e-Business Studies, 28(2), 53-74, 2023

Taekkyeun Lee, "Research Trend on Edge Computing based on Keyword Frequency, Centrality Analysis and Social Network Analysis:Focusing on United States, United Kingdom, South Korea", Journal of The Korea ContensTENTS ASSOCIATION, 23(3), 76-89. 2023

Koo Sae-yan, et al., "The Trends of Landscape Glossaries in Local Government Landscape Plans by Frequency Analysis", Journal of the Korea Landscape Council, 14(2), 112-125, 2022

R. Zhao, “Data Mining: Examples and Case Studies,†Academic Press, Vol. 12, 2012.

J. H. Bae, J. E. Son, and M. Song, “Analysis of Twitter for 2012 South Korea Presidential Election by Text Mining Techniques,†Journal of Intelligence and Information Systems, Vol.19, no.3, pp.141-156, 2013. (in Korean)

TaeHoon Kim, EunHui kim, "Analysis of research trends in multicultural family support centers using topic modeling (LDA)", Journal of Multi-Cultural Contents Studies, 43, 177-212, 2023

Lee Hyunkyung, Park Se-jeong, "Analysis of Learning Competency Research Trends and Direction of University Learning Support Using Topic Modeling Analysis", The Journal of Learner-Centered Curriculum and Instruction, 22(22), 847-863, 2022

W. J. Ryu, et al., “Extracting Trends from Twitter using a Topic Modeling Technique," Proceedings of Korea Computer Congress, pp.191-193, 2013. (in Korean)

World Economic Forum. “The Future of Jobs: Employment, Skills and Workforce Strategy for the Fourth Industrial Revolution,†2016.

Kim et al., Plan for Software Convergence Talent Development in Preparation for the 4th Industrial Revolution, Presidential Advisory Council on Science and Technology, 2017.

Lim et. al., “An Exploratory Study on the Direction of Education and Teacher Competencies in the 4th Industrial Revolution,†The Journal of Korean Education, Vol. 44, no.2, 2017.

OECD, Future of Education and Skills 2030 : Conceptual Learning Framework, 2018

OECD, The Future of Education and Skills. Education 2030, 2018.



  • There are currently no refbacks.

Published by INSIGHT - Indonesian Society for Knowledge and Human Development