A Study on English Teachers’ Behavior and Teaching Effectiveness in Universities Based on Big Data Technology

Based on the traditional Flanders interaction analysis method, this paper proposes a new method for analyzing English teachers’ behavior by combining long and short-term memory networks in deep learning techniques. Firstly, the Flanders coding system is optimized in the coding stage, and the English...

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Main Author: Zhang Jiao
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
Online Access:https://doi.org/10.2478/amns.2023.2.00456
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author Zhang Jiao
author_facet Zhang Jiao
author_sort Zhang Jiao
collection DOAJ
description Based on the traditional Flanders interaction analysis method, this paper proposes a new method for analyzing English teachers’ behavior by combining long and short-term memory networks in deep learning techniques. Firstly, the Flanders coding system is optimized in the coding stage, and the English teacher behavior categories are refined to better reflect the integrity, richness, and diversity of the classroom teaching process so as to construct an English teacher behavior dataset. Then, we designed the research protocol, determined the research subjects and instruments, classified the time series representing English teacher behavior based on the LSTM English teacher behavior analysis model in the results and analysis phase, and analyzed and evaluated the correlation between teacher behavior of students’ English learning achievement based on the classification results. The results show that the probability of getting the English teacher behavior evaluation index categories 1 to 4 is 0.6111, 0.00049, 0.002, and 0.3882, respectively. There is a significant correlation between both student learning achievement and teacher behavior, and the correlation coefficient of both is (r =0.73). Teacher behavior affects the achievement of student learning effectiveness. This study helps teachers to reflect on their teaching behaviors so as to improve the quality of teaching in higher education.
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spelling doaj.art-7a3821d2e9d14401bc480da51d4989692024-01-29T08:52:32ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.00456A Study on English Teachers’ Behavior and Teaching Effectiveness in Universities Based on Big Data TechnologyZhang Jiao01College of Foreign Languages and Cultures, Chengdu University of Technology, Chengdu, Sichuan, 610059, China.Based on the traditional Flanders interaction analysis method, this paper proposes a new method for analyzing English teachers’ behavior by combining long and short-term memory networks in deep learning techniques. Firstly, the Flanders coding system is optimized in the coding stage, and the English teacher behavior categories are refined to better reflect the integrity, richness, and diversity of the classroom teaching process so as to construct an English teacher behavior dataset. Then, we designed the research protocol, determined the research subjects and instruments, classified the time series representing English teacher behavior based on the LSTM English teacher behavior analysis model in the results and analysis phase, and analyzed and evaluated the correlation between teacher behavior of students’ English learning achievement based on the classification results. The results show that the probability of getting the English teacher behavior evaluation index categories 1 to 4 is 0.6111, 0.00049, 0.002, and 0.3882, respectively. There is a significant correlation between both student learning achievement and teacher behavior, and the correlation coefficient of both is (r =0.73). Teacher behavior affects the achievement of student learning effectiveness. This study helps teachers to reflect on their teaching behaviors so as to improve the quality of teaching in higher education.https://doi.org/10.2478/amns.2023.2.00456flemish interaction analysisdeep learninglstmcorrelation coefficientenglish teacher behaviorevaluation index97d60
spellingShingle Zhang Jiao
A Study on English Teachers’ Behavior and Teaching Effectiveness in Universities Based on Big Data Technology
Applied Mathematics and Nonlinear Sciences
flemish interaction analysis
deep learning
lstm
correlation coefficient
english teacher behavior
evaluation index
97d60
title A Study on English Teachers’ Behavior and Teaching Effectiveness in Universities Based on Big Data Technology
title_full A Study on English Teachers’ Behavior and Teaching Effectiveness in Universities Based on Big Data Technology
title_fullStr A Study on English Teachers’ Behavior and Teaching Effectiveness in Universities Based on Big Data Technology
title_full_unstemmed A Study on English Teachers’ Behavior and Teaching Effectiveness in Universities Based on Big Data Technology
title_short A Study on English Teachers’ Behavior and Teaching Effectiveness in Universities Based on Big Data Technology
title_sort study on english teachers behavior and teaching effectiveness in universities based on big data technology
topic flemish interaction analysis
deep learning
lstm
correlation coefficient
english teacher behavior
evaluation index
97d60
url https://doi.org/10.2478/amns.2023.2.00456
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AT zhangjiao studyonenglishteachersbehaviorandteachingeffectivenessinuniversitiesbasedonbigdatatechnology