Author(s)

Feng Chen¹, Pei Yang^1,2,*, Xi Cai¹

Affiliation(s)

¹ School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, Hubei, China;

² School of Information Science, University of Illinois Urbana-Champaign, Champaign, 61820, USA.

Corresponding Author

Pei Yang

ABSTRACT

This paper analyzes the effect of the artificial intelligence assignment and classification review of the 2022 general project of the Economic Science Discipline (G03) of the Management Science Department of the National Natural Science Foundation of China and the Youth Science Fund project. Based on the randomized controlled trials in the field of economic science and international economics and trade, it was found that artificial intelligence assignments can efficiently match "small peers" to carry out communication reviews, and effectively improve the consensus degree of review projects and the meeting rate. According to the statistical test, there is no significant difference between the distribution and mean of the project review scores of the artificial intelligence assignment experiment group and the control group samples, which means that the artificial intelligence assignment will not systematically affect the peer communication review results. In 2022, the discipline of economic science will comprehensively carry out classified review based on the attributes of scientific issues. Statistics show that classified review can effectively enable peer review experts to form consensus according to the attributes of scientific issues, and significantly reduce the gap between original, cutting-edge, interdisciplinary projects and demanding projects. rate difference.

KEYWORDS

Artificial intelligence assignment; Classification review; Department of management science; Effect analysis.

CITE THIS PAPER

Feng Chen, Pei Yang, Xi Cai. Analysis of artificial intelligence assignment and classification evaluation effect of economic science discipline of management science department. World Journal of Management Science. 2023, 1(1): 38-42.

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