The main problems and countermeasures of English teaching in higher education based on VAR model

This paper first analyzes the current situation and characteristics of English teaching in higher education and explores the current classroom model of English teaching in higher education. Then, it combines the multiple regression model and VAR method to construct an improved multiple autoregressiv...

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Main Authors: Hu Zhihong, Min Yao, Min Lu
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
Online Access:https://doi.org/10.2478/amns.2023.2.00868
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author Hu Zhihong
Min Yao
Min Lu
author_facet Hu Zhihong
Min Yao
Min Lu
author_sort Hu Zhihong
collection DOAJ
description This paper first analyzes the current situation and characteristics of English teaching in higher education and explores the current classroom model of English teaching in higher education. Then, it combines the multiple regression model and VAR method to construct an improved multiple autoregressive model of English teaching based on VAR and apply it to higher vocational English teaching. Finally, the improved model was tested for smoothness and co-integration, and the problems of English teaching in higher education were analyzed using impulse responses. The results showed that when the number of teacher-student ratios increased, the teaching quality response was -3, the English teaching time increased, and the English teaching quality response was around 4.5. The best-fit teaching model yielded a positive and stable response of around 4.5.
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spelling doaj.art-d6c6e1f7d5424bda9162f6c308d8af682024-01-29T08:52:37ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.00868The main problems and countermeasures of English teaching in higher education based on VAR modelHu Zhihong0Min Yao1Min Lu21Foundational Courses Department, Hubei Water Resources Technical College, Wuhan, Hubei, 430202, China.2Melbourne Business School, University of Melbourne, Melbourne, Victoria, VIC 3000, Australia.3Faculty of Engineering and IT, University of Melbourne, Melbourne, Victoria, VIC 3000, Australia.This paper first analyzes the current situation and characteristics of English teaching in higher education and explores the current classroom model of English teaching in higher education. Then, it combines the multiple regression model and VAR method to construct an improved multiple autoregressive model of English teaching based on VAR and apply it to higher vocational English teaching. Finally, the improved model was tested for smoothness and co-integration, and the problems of English teaching in higher education were analyzed using impulse responses. The results showed that when the number of teacher-student ratios increased, the teaching quality response was -3, the English teaching time increased, and the English teaching quality response was around 4.5. The best-fit teaching model yielded a positive and stable response of around 4.5.https://doi.org/10.2478/amns.2023.2.00868var modelmultiple regression modelsmoothness testimpulse responsehigher level english teaching97c50
spellingShingle Hu Zhihong
Min Yao
Min Lu
The main problems and countermeasures of English teaching in higher education based on VAR model
Applied Mathematics and Nonlinear Sciences
var model
multiple regression model
smoothness test
impulse response
higher level english teaching
97c50
title The main problems and countermeasures of English teaching in higher education based on VAR model
title_full The main problems and countermeasures of English teaching in higher education based on VAR model
title_fullStr The main problems and countermeasures of English teaching in higher education based on VAR model
title_full_unstemmed The main problems and countermeasures of English teaching in higher education based on VAR model
title_short The main problems and countermeasures of English teaching in higher education based on VAR model
title_sort main problems and countermeasures of english teaching in higher education based on var model
topic var model
multiple regression model
smoothness test
impulse response
higher level english teaching
97c50
url https://doi.org/10.2478/amns.2023.2.00868
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