Research Status and Challenges on the Sustainable Development of Artificial Intelligence Courses from a Global Perspective

Ying Yang (), Jinruo Qin, Jing Lei and Yanping Liu
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Ying Yang: College of Education, Shaanxi University of Science and Technology, Xi’an 710021, China
Jinruo Qin: College of Education, Shaanxi University of Science and Technology, Xi’an 710021, China
Jing Lei: School of Foreign Studies, Shaanxi University of Technology, Hanzhong 723001, China
Yanping Liu: College of Education, Shaanxi University of Science and Technology, Xi’an 710021, China

Sustainability, 2023, vol. 15, issue 12, 1-20

Abstract: The widespread application of artificial intelligence technology in various fields has made the sustainable development of artificial intelligence courses an important direction in the field of artificial intelligence education and teaching. Therefore, it is particularly important to conduct an in-depth analysis of the current research status of “artificial intelligence courses” from a global perspective. Firstly, this article clarifies the three stages of slow development, rapid development, and mature development of artificial intelligence curriculum research through the number and distribution years of the literature. It also conducts a co-authorship analysis on the distribution of countries, institutions, and authors of artificial intelligence curriculum research and identifies countries, institutions, and core authors that have made greater contributions to artificial intelligence curriculum research. Secondly, due to the involvement of artificial intelligence in many different fields of knowledge, an analysis is conducted on the journals that published papers on artificial intelligence courses. Finally, based on the analysis of keyword density and time span, the current research hotspots of artificial intelligence courses are summarized: artificial intelligence technology empowerment courses, two education directions at different stages of artificial intelligence courses, and teaching forms in the field of artificial intelligence courses. The current research trend of artificial intelligence courses is analyzed from three aspects: teaching format, teaching content, and teaching objects. This article provides a theoretical reference value and practical basis for future research and development in the field of artificial intelligence courses, while also providing experience for the efficient and sustainable development of artificial intelligence courses to a certain extent.

Keywords: sustainable development; artificial intelligence courses; pedagogy; knowledge graph; deep learning; future learners (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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