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Issue title: Impact of Intelligence Methodologies on Education and Training Process
Guest editors: Vijayalakshmi Saravanan
Article type: Research Article
Authors: Ding, Yahong; *
Affiliations: Shijiazhuang Preschool Teachers College, Shijiazhuang, Hebei, China
Correspondence: [*] Corresponding author. Yahong Ding, Shijiazhuang Preschool Teachers College, Shijiazhuang, Hebei, China. E-mail: [email protected].
Abstract: At present, it is difficult to quantify the performance of public management teaching practice. Inviewof this, based on artificial intelligence technology, this study imitates the economic performance evaluation method to introduce evaluation parameters, and adopts the analogy method to introduce the artificial intelligence economic performance evaluation system into the model proposed in this study. Moreover, this study combines with actual teaching needs to build a performance analysis model of public management teaching training based on artificial intelligence technology. In addition, this study uses a B/S structure to build the system, set functional modules based on demand analysis, and use an expert system to score. In order to study system performance and system stability in the context of big data, the system performance is studied through actual scoring and large amounts of data training. The research results show that the model proposed in this paper has a certain effect.
Keywords: Artificial intelligence, public management, teaching practice, performance analysis
DOI: 10.3233/JIFS-189412
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3787-3800, 2021
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