Research on Innovative Teaching Path of English Literature in Colleges and Universities Based on Multimodal Discourse Analysis
English literature teaching can improve students’ literary literacy and English proficiency. In this paper, we preprocess the English literature teaching data in colleges and universities from the two modalities of visual information and auditory information, extract the features of auditory modalit...
| Main Authors: | , |
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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-2024-0265 |
| _version_ | 1797303126144843776 |
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| author | Wang Yan Du Hongbo |
| author_facet | Wang Yan Du Hongbo |
| author_sort | Wang Yan |
| collection | DOAJ |
| description | English literature teaching can improve students’ literary literacy and English proficiency. In this paper, we preprocess the English literature teaching data in colleges and universities from the two modalities of visual information and auditory information, extract the features of auditory modality, text modality, and video modality of the classroom respectively, and represent the features using bidirectional long-time memory neural network. A multilayer attention network mechanism is introduced to complete multimodal fusion in English literature teaching and label multimodal features after the extraction is done. On this basis, a student-centered innovative teaching path for English literature in colleges and universities is constructed, and teaching practice and multimodal discourse analysis are carried out to explore its teaching effect. The results show that the length of time used for facial smiles in inefficient classrooms (780.52/s) is significantly more than that in inefficient classrooms (150.22/s), and the length of time used for eye interactions (832.63/s) is significantly more than that in inefficient classrooms (720.44/s), and the length of time used for animations (450.42/s) is significantly more than that in inefficient classrooms (128.88/s), and efficient classrooms are more emphasized on student interactions. Students’ reading and writing abilities were significantly different from those before the practice (P<0.05). This study suggests that promoting innovation in teaching English literature in colleges and universities can have a positive practical significance. |
| first_indexed | 2024-03-07T23:48:27Z |
| format | Article |
| id | doaj.art-b499c1b07b8c4e93ac0e768907497b88 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-07T23:48:27Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-b499c1b07b8c4e93ac0e768907497b882024-02-19T09:03:36ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns-2024-0265Research on Innovative Teaching Path of English Literature in Colleges and Universities Based on Multimodal Discourse AnalysisWang Yan0Du Hongbo11Faculty of General Education, Chengdu Jincheng College, Chengdu, Sichuan, 611731, China.1Faculty of General Education, Chengdu Jincheng College, Chengdu, Sichuan, 611731, China.English literature teaching can improve students’ literary literacy and English proficiency. In this paper, we preprocess the English literature teaching data in colleges and universities from the two modalities of visual information and auditory information, extract the features of auditory modality, text modality, and video modality of the classroom respectively, and represent the features using bidirectional long-time memory neural network. A multilayer attention network mechanism is introduced to complete multimodal fusion in English literature teaching and label multimodal features after the extraction is done. On this basis, a student-centered innovative teaching path for English literature in colleges and universities is constructed, and teaching practice and multimodal discourse analysis are carried out to explore its teaching effect. The results show that the length of time used for facial smiles in inefficient classrooms (780.52/s) is significantly more than that in inefficient classrooms (150.22/s), and the length of time used for eye interactions (832.63/s) is significantly more than that in inefficient classrooms (720.44/s), and the length of time used for animations (450.42/s) is significantly more than that in inefficient classrooms (128.88/s), and efficient classrooms are more emphasized on student interactions. Students’ reading and writing abilities were significantly different from those before the practice (P<0.05). This study suggests that promoting innovation in teaching English literature in colleges and universities can have a positive practical significance.https://doi.org/10.2478/amns-2024-0265feature extractionlong-term memory neuralmultilayer attentionmultimodal discourseenglish literature00a73 |
| spellingShingle | Wang Yan Du Hongbo Research on Innovative Teaching Path of English Literature in Colleges and Universities Based on Multimodal Discourse Analysis Applied Mathematics and Nonlinear Sciences feature extraction long-term memory neural multilayer attention multimodal discourse english literature 00a73 |
| title | Research on Innovative Teaching Path of English Literature in Colleges and Universities Based on Multimodal Discourse Analysis |
| title_full | Research on Innovative Teaching Path of English Literature in Colleges and Universities Based on Multimodal Discourse Analysis |
| title_fullStr | Research on Innovative Teaching Path of English Literature in Colleges and Universities Based on Multimodal Discourse Analysis |
| title_full_unstemmed | Research on Innovative Teaching Path of English Literature in Colleges and Universities Based on Multimodal Discourse Analysis |
| title_short | Research on Innovative Teaching Path of English Literature in Colleges and Universities Based on Multimodal Discourse Analysis |
| title_sort | research on innovative teaching path of english literature in colleges and universities based on multimodal discourse analysis |
| topic | feature extraction long-term memory neural multilayer attention multimodal discourse english literature 00a73 |
| url | https://doi.org/10.2478/amns-2024-0265 |
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