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International Journal of Educational Innovation and Science, 2020, 1(4); doi: 10.38007/IJEIS.2020.010402.

From the Perspective of Artificial Intelligence to Explore the Factors Affecting the Educational Integration of Migrant Children Based on the Educational Process and Results


Yihui Zhang

Corresponding Author:
Yihui Zhang

Modern College of Humanities and Sciences of Shanxi Normal University, Linfen, Shanxi, China


In recent years, with the continuous increase of the floating population, the society pays more and more attention to the floating population. Therefore, it is of great practical significance to conduct an in-depth discussion on the education integration of migrant children. This paper conducted theoretical and empirical research on the main factors affecting the educational integration of migrant children from two aspects of educational process and results. It mainly took urban children as reference objects, and compared them with migrant children in three aspects: enthusiasm, academic performance, and classroom criticism and praise. It was found that migrant children lagged behind by 31.8% in classroom enthusiasm. In the number of praises, the mean was 6 times lower. Academic performance was also 10 points lower on average, which was generally weaker than urban children. Among migrant children, schools with urban children as the main body had a significant negative impact on the integration of their educational process. The higher the educational level of parents, the higher the income level. The more they participate in their children's education, the more they can improve their educational integration level.


Educational Integration, Migrant Children, Educational Process, Artificial Intelligence

Cite This Paper

Yihui Zhang. From the Perspective of Artificial Intelligence to Explore the Factors Affecting the Educational Integration of Migrant Children Based on the Educational Process and Results. International Journal of Educational Innovation and Science (2020), Vol. 1, Issue 4: 9-22. https://doi.org/10.38007/IJEIS.2020.010402.


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