Research on the Construction Logic and Practical Pathways of a General Education Curriculum System for Artificial Intelligence

DOI: https://doi.org/10.62517/jnse.202617301

Author(s)

Yulin Yin*

Affiliation(s)

School of Finance, Shandong Technology and Business University, Yantai, Shandong, China *Corresponding Author

Abstract

As AI literacy becomes a fundamental capability for citizens in the new era, developing a systematic and scientific general education curriculum system for artificial intelligence (AI) has emerged as a critical task for deepening educational reform in higher education institutions. However, the construction of such a curriculum system in Chinese universities still faces numerous practical challenges. Guided by the principle of fostering virtue and nurturing talent, and integrating the developmental patterns of AI technology with the talent cultivation objectives of higher education institutions, this paper clarifies the core construction logic of an AI general education curriculum system, comprehensively analyzes the prominent difficulties in current practice, and proposes targeted optimization pathways across dimensions such as curriculum orientation, content development, teaching models, faculty development, and evaluation systems. The aim is to provide theoretical support and practical reference for the reform of AI general education in universities, thereby contributing to the establishment of a vertically integrated and horizontally connected AI education system across all educational stages.

Keywords

Artificial Intelligence; General Education; Curriculum System; Talent Development

References

[1] Tong Y. Integration of artificial intelligence into the general education curriculum: Importance, approaches, challenges, and a conceptual framework for liberal arts universities INTED 2024 Proceedings. IATED, 2024: 7582-7589. [2]Yang Y, Qin J, Lei J, et al. Research status and challenges on the sustainable development of artificial intelligence courses from a global perspective. Sustainability, 2023, 15(12): 9335. [3]Chiu T K F, Chai C. Sustainable curriculum planning for artificial intelligence education: A self-determination theory perspective. Sustainability, 2020, 12(14): 5568. [4]Abbasi B N, Wu Y, Luo Z. Exploring the impact of artificial intelligence on curriculum development in global higher education institutions. Education and Information Technologies, 2025, 30(1): 547-581. [5]Chu T S, Ashraf M. Artificial intelligence in curriculum design: A data-driven approach to higher education innovation. Knowledge, 2025, 5(3): 14. [6]Rathore A A, Sultana N, Zareen S J, et al. Artificial intelligence and curriculum prospects for elementary school. Pakistan Journal of Humanities and Social Sciences, 2023, 11(4): 4635–4644. [7]Dai Y, Liu A, Qin J, et al. Collaborative construction of artificial intelligence curriculum in primary schools. Journal of engineering education, 2023, 112(1): 23-42. [8]Deriba F G, Sanusi I T. Artificial intelligence in Ethiopian school curriculum: Educators' practices, challenges, and recommendations. Computers and Education Open, 2025, 8: 100251. [9]Peng T, Luo Y, Liu Y. AI‐based equipment optimization of the design on intelligent education curriculum system. Wireless communications and mobile computing, 2022, 2022(1): 3614883. [10]Chen L, Chen P, Lin Z. Artificial intelligence in education: A review. IEEE access, 2020, 8: 75264-75278. [11]Chiu T K F, Meng H, Chai C S, et al. Creation and evaluation of a pretertiary artificial intelligence (AI) curriculum. IEEE Transactions on Education, 2021, 65(1): 30-39. [12]Gao Y. The role of artificial intelligence in enhancing sports education and public health in higher education: innovations in teaching models, evaluation systems, and personalized training. Frontiers in Public Health, 2025, 13: 1554911.