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Status and strategies of college English teaching using adaptive deep learning from the perspective of multiculturalism

The aim is to deeply understand the current situation of College English Teaching (CET). By consulting the theories of Deep Learning (DL) and Edge Computing (EC), this work designs a Questionnaire Survey (QS) to understand the current situation of college English learning and teaching. Then, Adaptiv...

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Detalles Bibliográficos
Autores principales: Fei, Bi, Cai, Xia, Huang, Guo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366170/
https://www.ncbi.nlm.nih.gov/pubmed/35967666
http://dx.doi.org/10.3389/fpsyg.2022.910667
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author Fei, Bi
Cai, Xia
Huang, Guo
author_facet Fei, Bi
Cai, Xia
Huang, Guo
author_sort Fei, Bi
collection PubMed
description The aim is to deeply understand the current situation of College English Teaching (CET). By consulting the theories of Deep Learning (DL) and Edge Computing (EC), this work designs a Questionnaire Survey (QS) to understand the current situation of college English learning and teaching. Then, Adaptive Deep Learning (ADL) and EC are introduced into CET. Finally, the corresponding conclusions and suggestions are drawn. Specifically, the purpose and time of college students’ vocabulary learning are investigated. The results suggest that students’ English vocabulary learning is shallow. They have not really mastered the meaning and usage of vocabulary. Simultaneously, teachers’ vocabulary teaching methods are analyzed from three aspects: root affixes, vocabulary collocation, or repeated reading and memory. The teaching method is excellent from the teacher’s perspective but far from perfect from the students’ perspective. Introducing ADL and EC into CET enhances students’ class concentration time, homework submission efficiency, and academic performance. More than half of the students believe that the new teaching method introducing ADL and EC can make them more confident and motivated in English learning. Therefore, it has great reference significance for applying ADL and EC in CET.
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spelling pubmed-93661702022-08-12 Status and strategies of college English teaching using adaptive deep learning from the perspective of multiculturalism Fei, Bi Cai, Xia Huang, Guo Front Psychol Psychology The aim is to deeply understand the current situation of College English Teaching (CET). By consulting the theories of Deep Learning (DL) and Edge Computing (EC), this work designs a Questionnaire Survey (QS) to understand the current situation of college English learning and teaching. Then, Adaptive Deep Learning (ADL) and EC are introduced into CET. Finally, the corresponding conclusions and suggestions are drawn. Specifically, the purpose and time of college students’ vocabulary learning are investigated. The results suggest that students’ English vocabulary learning is shallow. They have not really mastered the meaning and usage of vocabulary. Simultaneously, teachers’ vocabulary teaching methods are analyzed from three aspects: root affixes, vocabulary collocation, or repeated reading and memory. The teaching method is excellent from the teacher’s perspective but far from perfect from the students’ perspective. Introducing ADL and EC into CET enhances students’ class concentration time, homework submission efficiency, and academic performance. More than half of the students believe that the new teaching method introducing ADL and EC can make them more confident and motivated in English learning. Therefore, it has great reference significance for applying ADL and EC in CET. Frontiers Media S.A. 2022-07-28 /pmc/articles/PMC9366170/ /pubmed/35967666 http://dx.doi.org/10.3389/fpsyg.2022.910667 Text en Copyright © 2022 Fei, Cai and Huang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Fei, Bi
Cai, Xia
Huang, Guo
Status and strategies of college English teaching using adaptive deep learning from the perspective of multiculturalism
title Status and strategies of college English teaching using adaptive deep learning from the perspective of multiculturalism
title_full Status and strategies of college English teaching using adaptive deep learning from the perspective of multiculturalism
title_fullStr Status and strategies of college English teaching using adaptive deep learning from the perspective of multiculturalism
title_full_unstemmed Status and strategies of college English teaching using adaptive deep learning from the perspective of multiculturalism
title_short Status and strategies of college English teaching using adaptive deep learning from the perspective of multiculturalism
title_sort status and strategies of college english teaching using adaptive deep learning from the perspective of multiculturalism
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366170/
https://www.ncbi.nlm.nih.gov/pubmed/35967666
http://dx.doi.org/10.3389/fpsyg.2022.910667
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