A study of English listening support teaching supported by mobile smart terminal APP
With the development of communication tools such as streaming media technology, education methods and concepts have changed accordingly. In this context, English listening teaching concepts and teaching methods have also changed. In this paper, by analyzing the advantages of the smart terminal APP,...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.1.00230 |
| _version_ | 1797340862813831168 |
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| author | Xiong Guofang |
| author_facet | Xiong Guofang |
| author_sort | Xiong Guofang |
| collection | DOAJ |
| description | With the development of communication tools such as streaming media technology, education methods and concepts have changed accordingly. In this context, English listening teaching concepts and teaching methods have also changed. In this paper, by analyzing the advantages of the smart terminal APP, we propose a multiple-assisted English teaching model, construct a vector machine evaluation model based on the least squares method, and screen the most suitable mobile English listening assistance system for students through the meritocracy of particle swarm algorithm. Finally, the guidelines of teaching methods adapted to English listening assistance education for high school students were developed by combining support vector machines. The experiments show that the multi-source terminal teaching system in the context of mobile teaching transforms cell phones that interfere with classroom teaching into teaching assistants, improves the original listening teaching environment, breaks through the time and space limitations of the traditional listening teaching mode, and provides a reference for teaching English listening courses. |
| first_indexed | 2024-03-08T10:09:33Z |
| format | Article |
| id | doaj.art-331ccd8f26424be4b9f01daa0c0a021b |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:09:33Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-331ccd8f26424be4b9f01daa0c0a021b2024-01-29T08:52:26ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.1.00230A study of English listening support teaching supported by mobile smart terminal APPXiong Guofang01School of Foreign Studies of Xi’an University, Shaanxi, Xi’an, 710061, China.With the development of communication tools such as streaming media technology, education methods and concepts have changed accordingly. In this context, English listening teaching concepts and teaching methods have also changed. In this paper, by analyzing the advantages of the smart terminal APP, we propose a multiple-assisted English teaching model, construct a vector machine evaluation model based on the least squares method, and screen the most suitable mobile English listening assistance system for students through the meritocracy of particle swarm algorithm. Finally, the guidelines of teaching methods adapted to English listening assistance education for high school students were developed by combining support vector machines. The experiments show that the multi-source terminal teaching system in the context of mobile teaching transforms cell phones that interfere with classroom teaching into teaching assistants, improves the original listening teaching environment, breaks through the time and space limitations of the traditional listening teaching mode, and provides a reference for teaching English listening courses.https://doi.org/10.2478/amns.2023.1.00230mobile intelligent terminalenglish listening teachingleast squares methodvector machine evaluation modelparticle swarm algorithm91f20 |
| spellingShingle | Xiong Guofang A study of English listening support teaching supported by mobile smart terminal APP Applied Mathematics and Nonlinear Sciences mobile intelligent terminal english listening teaching least squares method vector machine evaluation model particle swarm algorithm 91f20 |
| title | A study of English listening support teaching supported by mobile smart terminal APP |
| title_full | A study of English listening support teaching supported by mobile smart terminal APP |
| title_fullStr | A study of English listening support teaching supported by mobile smart terminal APP |
| title_full_unstemmed | A study of English listening support teaching supported by mobile smart terminal APP |
| title_short | A study of English listening support teaching supported by mobile smart terminal APP |
| title_sort | study of english listening support teaching supported by mobile smart terminal app |
| topic | mobile intelligent terminal english listening teaching least squares method vector machine evaluation model particle swarm algorithm 91f20 |
| url | https://doi.org/10.2478/amns.2023.1.00230 |
| work_keys_str_mv | AT xiongguofang astudyofenglishlisteningsupportteachingsupportedbymobilesmartterminalapp AT xiongguofang studyofenglishlisteningsupportteachingsupportedbymobilesmartterminalapp |