THE INFLUENCE OF ARTIFICIAL INTELLIGENCE ON THE TEACHING REFORM OF MBA CURRICULUM UNDER THE BACKGROUND OF DIGITALIZATION
Volume 2, Issue 2, Pp 50-59, 2024
DOI: https://doi.org/10.61784/wjmp3006
Author(s)
XiaoFeng Zhang, ZiYang Liu*, YuanYuan Zhan
Affiliation(s)
School of Business Administration, Jiangxi University of Fiance and Economics, Nanchang 330000, Jiangxi, China.
Corresponding Author
ZiYang Liu
ABSTRACT
This paper first introduces the development background and technical characteristics of the era of big data and artificial intelligence, and then analyzes the current situation and existing problems of MBA education from the perspective of statistical analysis. In the era of big data, MBA education is faced with multiple challenges, such as insufficient data processing and analysis ability, disconnection between curriculum and market demand, single teaching methods and insufficient teachers. In response to these challenges, this paper puts forward corresponding solutions, including improving data processing and analysis capabilities by using data analysis and machine learning algorithms, optimizing course offerings to meet market demands, innovating teaching methods to improve teaching effectiveness, and strengthening the construction of teaching staff and introducing experts in the field of big data and artificial intelligence. This paper also deeply discusses the influence of artificial intelligence on the teaching reform of MBA curriculum, including the reform of curriculum setting, teaching methods and training objectives. Through these analysis and discussion, this paper aims to provide useful reference and enlightenment for the reform and development of MBA education in the era of big data.
KEYWORDS
Big data era; MBA education; Artificial intelligence; Teaching reform; Curriculum
CITE THIS PAPER
XiaoFeng Zhang, ZiYang Liu, YuanYuan Zhan. The influence of artificial intelligence on the teaching reform of MBA curriculum under the background of digitalization. World Journal of Mathematics and Physics. 2024, 2(2): 50-59. DOI: https://doi.org/10.61784/wjmp3006.
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