Redirigiendo al acceso original de articulo en 21 segundos...
Inicio  /  Future Internet  /  Vol: 13 Par: 5 (2021)  /  Artículo
ARTÍCULO
TITULO

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    

Resumen

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.

 Artículos similares

       
 
Juan Ma, Qiang Yang, Mingzhi Zhang, Yao Chen, Wenyi Zhao, Chengyu Ouyang and Dongping Ming    
Accurately predicting landslide deformation based on monitoring data is key to successful early warning of landslide disasters. Landslide displacement?time curves offer an intuitive reflection of the landslide motion process and deformation predictions o... ver más
Revista: Water

 
Weiying Wang and Toshihiro Osaragi    
The generation and prediction of daily human mobility patterns have raised significant interest in many scientific disciplines. Using various data sources, previous studies have examined several deep learning frameworks, such as the RNN and GAN, to synth... ver más

 
Bon-Ho Gu, Seung-Buhm Woo, Jae-Il Kwon, Sung-Hwan Park and Nam-Hoon Kim    
This study presents a comprehensive analysis of contaminant transport in estuarine environments, focusing on the impact of tidal creeks and flats. The research employs advanced hydrodynamic models with irregular grid systems and conducts a detailed resid... ver más
Revista: Water

 
Gilbert Hinge, Mohamed A. Hamouda and Mohamed M. Mohamed    
In recent years, there has been a growing interest in flood susceptibility modeling. In this study, we conducted a bibliometric analysis followed by a meta-data analysis to capture the nature and evolution of literature, intellectual structure networks, ... ver más
Revista: Water

 
Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis and Vassilios S. Verykios    
Smart cities, leveraging advanced data analytics, predictive models, and digital twin techniques, offer a transformative model for sustainable urban development. Predictive analytics is critical to proactive planning, enabling cities to adapt to evolving... ver más
Revista: Future Internet