Science, Technology, Engineering and Mathematics.
Open Access

CONSTRUCTION OF ARTIFICIAL INTELLIGENCE CURRICULUM SYSTEM FOR MULTIDISCIPLINARY

Download as PDF

Volume 2, Issue 4, Pp 78-83, 2024

DOI: https://doi.org/10.61784/wjes3044

Author(s)

MingGang Zheng*, WanChao Zhu

Affiliation(s)

School of Mechanical Engineering, Shandong Jianzhu University, Jinan 250101, Shandong, China.

Corresponding Author

MingGang Zheng

ABSTRACT

With the rapid development of artificial intelligence (AI) technology, its applications in various fields have become increasingly widespread, making it a key force in promoting social progress and industrial upgrading. China has listed AI technology as an important field of new infrastructure, aiming to promote the domestic large cycle through technological innovation. As a major economic province in China, Shandong has also taken AI as one of the "Top Ten Industries" and actively promoted the development of related industries. However, the contradiction between supply and demand of talents in the field of AI is increasingly prominent, especially in the cultivation of interdisciplinary talents. To solve this problem, this paper proposes to construct an AI curriculum system for multidisciplinary, through school-enterprise cooperation to build integrated software and hardware supporting facilities for teaching, practice, scientific research and employment, and use AI and big data technologies to achieve intelligent teaching. The purpose of this study is to construct an AI public teaching platform suitable for multiple disciplines and directions, promote the integration of various disciplines, students and teachers, and provide new ideas for solving the contradiction between supply and demand of AI talents.

KEYWORDS

Artificial intelligence; Multidisciplinary integration; Public teaching platform

CITE THIS PAPER

MingGang Zheng, WanChao Zhu. Construction of artificial intelligence curriculum system for multidisciplinary. World Journal of Educational Studies. 2024, 2(4): 78-83. DOI: https://doi.org/10.61784/wjes3044.

REFERENCES

[1] Luchs I, Apprich C, Broersma M. Learning machine learning: On the political economy of big tech's online AI courses. Big Data & Society, 2023, 10(1). DOI: https://doi.org/10.1177/20539517231153806.

[2] Chen AH, Gao SY. Concepts, Features and Upgraded Strategies on Service Quality of Interdisciplinary Education in Universities and Colleges in China. PROCEEDINGS OF 2010 INTERNATIONAL CONFERENCE ON PUBLIC ADMINISTRATION (6TH). The Research Center for Science, Technology and Education Policy, Zhejiang University, Hangzhou,P.R.Zhejiang Vocational College of Commerce, Hangzhou, China. 2010, 2: 522-528.

[3] Liu Y H, Wang W R. Innovative Research on Talent Cultivation in Colleges and Universities under the Background of Artificial Intelligence. Industrial Innovation Research, 2025, 6, 171-173.

[4] Zhang X L, Gao L J, Hao Z Q, et al. Matching Analysis of Talent Demand in the Artificial Intelligence Industry and Professional Setting in Vocational Colleges. Chinese Vocational and Technical Education, 2025, 8, 31-40.

[5] Dong L, Zhang Z J, Wang J Q, et al. Exploration and Practice of "Artificial Intelligence + Control" Innovative Talent Cultivation from the Perspective of Multidisciplinary Integration. Intelligent Manufacturing, 2025, 2, 128-131.

[6] Green N. An AI Ethics Course Highlighting Explicit Ethical Agents. AIES '21: PROCEEDINGS OF THE 2021 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY. Association for Computing Machinery, New York, NY, USA, 2021, 519-524. DOI: https://doi.org/10.1145/3461702.3462552.

[7] Smith A M, Shapiro D. Teaching Game AI as an Undergraduate Course in Computational Media. THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE. 2020, 2: 13461-13468.

[8] Eaton E. Teaching Integrated AI Through Interdisciplinary Project-Driven Courses. AI Magazine, 2017, 38(2): 13-21.

[9] Liu X L, Wang J F. Research on the Promotion of Vocational Education Development by Artificial Intelligence Technology. Times Auto, 2025, (9), 56-58.

[10] Cha S E, Loeser M, Seo K. The Impact of AI-Based Course-Recommender System on Students' Course-Selection Decision-Making Process. Applied Sciences-Basel, 2024, 14(9): 3672.

[11] Jiang F G, Liang X N, Xiaoxiong Z Y, et al. Design Research on Curriculum Development and Practice of Artificial Intelligence from the Perspective of School-Enterprise Cooperation. Journal of Distance Education, 2023, 41(3): 65-74.

[12] Raina A, Mundra K, Prasad P, et al. Fostering Ethics in AI: Perceptions from the Indian AI Curriculum. 31ST INTERNATIONAL CONFERENCE ON COMPUTERS IN EDUCATION, ICCE 2023, 2023, 2, 609-616. DOI: 10.58459/icce.2023.1440.

All published work is licensed under a Creative Commons Attribution 4.0 International License. sitemap
Copyright © 2017 - 2025 Science, Technology, Engineering and Mathematics.   All Rights Reserved.