Research and development (R&D) talents training are asymmetric in China universities and can be of great significance for economic and social sustainable development. For the purpose of making an in-depth analysis in the education management costs for R&D talents training, the belief rule-based (BRB) expert system with data increment and parameter learning is developed to achieve education management cost prediction for the first time. In empirical analysis, based on the BRB expert system, the past investments and future planning of education management costs are analyzed using real education management data from 2001 to 2019 in 31 Chinese provinces. Results show that: (1) the existing education management cost investments have a significant regional difference; (2) the BRB expert system has excellent accuracy over some existing cost-prediction models; and (3) without changing the current education management policy and education cost input scheme, the regional differences in China’s education management cost input always exist. In addition to the results, the present study is helpful for providing model supports and policy references for decision makers in making well-grounded plans of R&D talents training at universities
Bibliographical noteFunding Information:
Funding: This research was funded by the National Natural Science Foundation of China, grant number 72001043 and 71971064, the National Science Foundation of Fujian Province, China, grant number 2020J05122, the Humanities and Social Science Foundation of the Ministry of Education of China, grant number 20YJC630188.
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- cost planning
- talents training
- education management
- research and development
- belief rule-based expert system
- Belief rule-based expert system
- Talents training
- Research and development
- Cost planning
- Education management