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...
Main Author: | |
---|---|
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 |
_version_ | 1797340747261804544 |
---|---|
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. |
first_indexed | 2024-03-08T10:07:47Z |
format | Article |
id | doaj.art-7a3821d2e9d14401bc480da51d498969 |
institution | Directory Open Access Journal |
issn | 2444-8656 |
language | English |
last_indexed | 2024-03-08T10:07:47Z |
publishDate | 2024-01-01 |
publisher | Sciendo |
record_format | Article |
series | Applied Mathematics and Nonlinear Sciences |
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 |
work_keys_str_mv | AT zhangjiao astudyonenglishteachersbehaviorandteachingeffectivenessinuniversitiesbasedonbigdatatechnology AT zhangjiao studyonenglishteachersbehaviorandteachingeffectivenessinuniversitiesbasedonbigdatatechnology |