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A Review of Research on the Application of Artificial Intelligence in Teaching Management and Evaluation

摘要


With the rapid development of artificial intelligence, the research and application of "AI+Education" continues to deepen. This study uses journals included in China National Knowledge Infrastructure (CNKI) from 2000 to 2022 as data sources, uses CiteSpace software for visual analysis of sample data, and summarizes the research topics and hot trends of the application of artificial intelligence in teaching management and evaluation. Through data analysis, it is found that domestic researches on the application of Artificial Intelligence in teaching management and evaluation present the following characteristics: From the time knowledge graph, the researches on the application of artificial intelligence in teaching management and evaluation have increased significantly since 2017, and their scientific research results have been published intensively. According to the keyword clustering spectrum, the research hotspots include "Artificial Intelligence Technology", "Big Data" And "Data Mining". This paper probes into the research hotspot and development trend of artificial intelligence application in teaching management and evaluation, in order to provide beneficial reference for the integration innovation and practice of artificial intelligence, teaching management and teaching evaluation in China.

參考文獻


Chen Lei, Liu Xia, GAO Xuechun. Artificial intelligence horizon, the reality of education management challenges and path selection [J]. China education science (both in English and Chinese), 2020, 3 (6):24-30.doi:10.13527/j.cnki.edu c.s.ci. China. 2020.06.003.
Ding Muhan. Artificial intelligence application in the teaching management and practice [J]. Computer knowledge and technology, 2021 (24) : 114-115 + 128. DOI: 10.14004 / j.carol carroll nki CKT. 2021.2304.
Peng Bo, Wang Weiqing, Zhang Jinliang, Yuan Jianlin, Yu Jianbo. Artificial intelligence horizon, education evaluation reform could [J]. Journal of contemporary education BBS, 2021 (6) : 1-15. DOI: 10.13694 / j.carol carroll nki ddjylt. 20211012.001.
Wiley J, Hastings P, etal. Different approaches to assessing the quality of explan ations following amultiple-document inquiry activity in science [J]. International Journal of Artificial Intelligence in Education, 2017,27(4):758-790.
Wang Juan, Chen Shichao, Wang Linli, et al. Research trends and hotspots of educational big data based on CiteSpace [J]. Modern Educational Technology, 2016.26(2):5-13.]

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