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Online and Offline Interaction Model of International Chinese Education Based on Few-Shot Learning
Few-shot learning is a method to acquire learning ability in a small amount of sample data scenarios. This paper aims to study an online and offline interaction model applied to international Chinese education and teaching based on the few-shot learning method. It first expounds an overview of inter...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098278/ https://www.ncbi.nlm.nih.gov/pubmed/35571696 http://dx.doi.org/10.1155/2022/8281670 |
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author | Cao, Fei Cai, Jing |
author_facet | Cao, Fei Cai, Jing |
author_sort | Cao, Fei |
collection | PubMed |
description | Few-shot learning is a method to acquire learning ability in a small amount of sample data scenarios. This paper aims to study an online and offline interaction model applied to international Chinese education and teaching based on the few-shot learning method. It first expounds an overview of international Chinese education, including the connotation and characteristics of the hybrid mode of online teaching and offline teaching in international Chinese education, then designs an online and offline interactive model, and finally compares it with a baseline model and a traditional single teaching model. The experimental data shows that the accuracy and recall rate of the international Chinese education online and offline interaction model based on few-shot learning both reach 70%, which verifies its effectiveness. |
format | Online Article Text |
id | pubmed-9098278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-90982782022-05-13 Online and Offline Interaction Model of International Chinese Education Based on Few-Shot Learning Cao, Fei Cai, Jing Comput Intell Neurosci Research Article Few-shot learning is a method to acquire learning ability in a small amount of sample data scenarios. This paper aims to study an online and offline interaction model applied to international Chinese education and teaching based on the few-shot learning method. It first expounds an overview of international Chinese education, including the connotation and characteristics of the hybrid mode of online teaching and offline teaching in international Chinese education, then designs an online and offline interactive model, and finally compares it with a baseline model and a traditional single teaching model. The experimental data shows that the accuracy and recall rate of the international Chinese education online and offline interaction model based on few-shot learning both reach 70%, which verifies its effectiveness. Hindawi 2022-05-05 /pmc/articles/PMC9098278/ /pubmed/35571696 http://dx.doi.org/10.1155/2022/8281670 Text en Copyright © 2022 Fei Cao and Jing Cai. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Cao, Fei Cai, Jing Online and Offline Interaction Model of International Chinese Education Based on Few-Shot Learning |
title | Online and Offline Interaction Model of International Chinese Education Based on Few-Shot Learning |
title_full | Online and Offline Interaction Model of International Chinese Education Based on Few-Shot Learning |
title_fullStr | Online and Offline Interaction Model of International Chinese Education Based on Few-Shot Learning |
title_full_unstemmed | Online and Offline Interaction Model of International Chinese Education Based on Few-Shot Learning |
title_short | Online and Offline Interaction Model of International Chinese Education Based on Few-Shot Learning |
title_sort | online and offline interaction model of international chinese education based on few-shot learning |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098278/ https://www.ncbi.nlm.nih.gov/pubmed/35571696 http://dx.doi.org/10.1155/2022/8281670 |
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