Analysis and Prediction of Public Concern and Academic Concern in Middle School Physics

Author:

Liu Pan123,Wang Guanyu24,Zhao Yulin124ORCID,Liu Kai123ORCID,Li Junke125ORCID

Affiliation:

1. School of Information Engineering, Suqian University, Suqian, Jiangsu 223800, China

2. School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, Guizhou, China

3. Key Laboratory of Machine Learning and Unstructured Data Processing of Qiannan, Duyun 558000, Guizhou, China

4. Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou, Duyun 558000, China

5. Jiangsu Province Engineering Research Center of Smart Poultry Farming and Intelligent Equipment, Suqian, Jiangsu 223800, China

Abstract

Physics in middle school plays an irreplaceable role in cultivating students’ scientific quality and creativity. It occupies an essential position in middle school teaching, which has always been the focus of academia (academic concern) and the public (public concern). The relationship between academic and public concern for physics in middle school has become an important research issue. To solve this problem, this article proposes the Pearson correlation-linear prediction and ARIMA (autoregressive integrated moving average) (PCLA) framework. It consists of four steps. Firstly, PCLA obtains the public concern and academic concern in middle school physics. Secondly, the Pearson correlation between the public concern and academic concern is analysed, and a linear model between the two concerns is established. Thirdly, for better predicting public concern, the evaluation index is used to choose the best model between the ARIMA model and the SARIMA model. Finally, based on the result of the third step and the linear model, academic concern can also be predicted. The results show that the PCLA framework can reflect the relationship between academic concern and public concern for physics in middle school and can accurately predict public concern and academic concern.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Computer Science

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