Application of University English Teaching Model Based on Artificial Intelligence Technology

This paper is based on cloud computing technology in artificial intelligence and a clustering algorithm controlled to divide teaching resource attributes and reduce packet loss rates in the system. Data mining is used to reduce the number of iterations and improve processing efficiency, a learner mo...

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Main Authors: Leng Jinying, Lin Xiaoqing
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
Online Access:https://doi.org/10.2478/amns.2023.2.00949
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author Leng Jinying
Lin Xiaoqing
author_facet Leng Jinying
Lin Xiaoqing
author_sort Leng Jinying
collection DOAJ
description This paper is based on cloud computing technology in artificial intelligence and a clustering algorithm controlled to divide teaching resource attributes and reduce packet loss rates in the system. Data mining is used to reduce the number of iterations and improve processing efficiency, a learner model is designed, and the teaching process and assessment tasks are constructed to realize the teaching model. Two natural classes of students at the University of S. underwent an instructional experiment. The results showed that the experimental class reached about 70% of the overall students in the achievement range of 85-95 and 95-100. The college English teaching model based on artificial intelligence technology’s feasibility and effectiveness are proven by the significant improvement in performance compared to the control class.
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spelling doaj.art-e40ff68be1c24c81afa2d560164c0c222024-01-29T08:52:38ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.00949Application of University English Teaching Model Based on Artificial Intelligence TechnologyLeng Jinying0Lin Xiaoqing11Eastern Liaoning University, Dandong, Liaoning, 118001, China.1Eastern Liaoning University, Dandong, Liaoning, 118001, China.This paper is based on cloud computing technology in artificial intelligence and a clustering algorithm controlled to divide teaching resource attributes and reduce packet loss rates in the system. Data mining is used to reduce the number of iterations and improve processing efficiency, a learner model is designed, and the teaching process and assessment tasks are constructed to realize the teaching model. Two natural classes of students at the University of S. underwent an instructional experiment. The results showed that the experimental class reached about 70% of the overall students in the achievement range of 85-95 and 95-100. The college English teaching model based on artificial intelligence technology’s feasibility and effectiveness are proven by the significant improvement in performance compared to the control class.https://doi.org/10.2478/amns.2023.2.00949artificial intelligence technologycloud computingcontrolled clustering algorithmdata mininguniversity english teaching97c50
spellingShingle Leng Jinying
Lin Xiaoqing
Application of University English Teaching Model Based on Artificial Intelligence Technology
Applied Mathematics and Nonlinear Sciences
artificial intelligence technology
cloud computing
controlled clustering algorithm
data mining
university english teaching
97c50
title Application of University English Teaching Model Based on Artificial Intelligence Technology
title_full Application of University English Teaching Model Based on Artificial Intelligence Technology
title_fullStr Application of University English Teaching Model Based on Artificial Intelligence Technology
title_full_unstemmed Application of University English Teaching Model Based on Artificial Intelligence Technology
title_short Application of University English Teaching Model Based on Artificial Intelligence Technology
title_sort application of university english teaching model based on artificial intelligence technology
topic artificial intelligence technology
cloud computing
controlled clustering algorithm
data mining
university english teaching
97c50
url https://doi.org/10.2478/amns.2023.2.00949
work_keys_str_mv AT lengjinying applicationofuniversityenglishteachingmodelbasedonartificialintelligencetechnology
AT linxiaoqing applicationofuniversityenglishteachingmodelbasedonartificialintelligencetechnology