Analysis and Prediction of “AI + Education” Attention Based on Baidu Index—Taking Guizhou Province as an Example

Yulin Zhao, Junke Li and Jiang-E Wang
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Yulin Zhao: College of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China
Junke Li: College of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China
Jiang-E Wang: College of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China

Future Internet, 2021, vol. 13, issue 5, 1-16

Abstract: Studying the attention of “artificial intelligence + education” in ethnic areas is of great significance for China for promoting the integrated development of new educational modes and modern technology in the western region. Guizhou province is an area inhabited by ethnic minorities, located in the heart of Southwest China. The development of its intelligent education has strong enlightenment for the whole country and the region. Therefore, this paper selects the Baidu Index of “artificial intelligence (AI) + education” in Guizhou province from 2013 to 2020, analyzes the spatial–temporal characteristics of its network attention by using the elastic coefficient method, and builds the ARIMA model on this basis to predict future development. The results show that the public’s attention to “AI + education” differs significantly in time and space. Then, according to the prediction results, this paper puts forward relevant suggestions for the country to promote the sustainable development of education in western ethnic areas.

Keywords: artificial intelligence and education; Baidu Index; network attention; ARIMA model; prediction (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2021
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