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Frontiers in Educational Research, 2021, 4(6); doi: 10.25236/FER.2021.040613.

A prediction method of consumer behavior transformation in K12 educational institutions

Author(s)

Guanghui Yang, Puyang Zheng

Corresponding Author:
Guanghui Yang
Affiliation(s)

School of Educational Development, Nanchang University, Nanchang, China

Abstract

It introduces a prediction method for the transformation of consumption behavior of educational institutions, namely, the consumption behavior of educational institutions under the LSTM (long-term short-term memory) network. Based on the theory of behavior, this paper predicts the decision-making of consumers, and uses statistical factor analysis and structural equation model to establish the analysis model of the demographic factors affecting the purchase of educational institutions. Relevant data are collected, and software such as SPSS is used for analysis and modeling. Through related tests, the preferences and related latent variables of a certain type of group are revealed. Multi-dimensional analysis, accurate prediction, and one-to-one recommendation are necessary ways for educational institutions to obtain profits and improve consumers’ satisfaction.

Keywords

K12; Consumers’ behaviour research; Structural equation model; Countermeasures

Cite This Paper

Guanghui Yang, Puyang Zheng. A prediction method of consumer behavior transformation in K12 educational institutions. Frontiers in Educational Research (2021) Vol. 4, Issue 6: 64-73. https://doi.org/10.25236/FER.2021.040613.

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