A Study on the Application of Multimodal Discourse Analysis Combined with Computers in Business English Teaching and Courseware Production.
Saved in:
| Title: | A Study on the Application of Multimodal Discourse Analysis Combined with Computers in Business English Teaching and Courseware Production. |
|---|---|
| Authors: | Miao, Jiang1 (AUTHOR) azjm202204101@163.com |
| Source: | International Journal of High Speed Electronics & Systems. Aug2026, Vol. 35 Issue 3, p1-20. 20p. |
| Subjects: | Courseware, Business English, K-nearest neighbor classification, Evaluation methodology, Discourse analysis, Teaching aids, Digital platforms, Cross-cultural communication |
| Abstract: | Business English is inherently interdisciplinary, encompassing areas such as international negotiation, trade cooperation, e-commerce, finance, marketing, and international exchange (IE). The major emphasizes both professionalism and practical application, equipping graduates for roles that require hands-on expertise. To meet the growing demand for cross-cultural communication skills and align with the teaching needs of Business English courses, this study explores the integration of multimodal discourse analysis with computer-based tools in Business English teaching. We introduce a variety of innovative multimodal approaches and create a dynamic, multimodal teaching platform for courseware development. Experimental results show that after one semester of implementation, students in the experimental class achieved a 16.3% higher average score in business expertise and a 14.6% improvement in business practice compared to the control group. Furthermore, our multimodal evaluation system, based on an improved K-nearest neighbors (KNN) algorithm, achieved an accuracy of 88% and an F1 score of 0.86. These outcomes validate the platform's impact in improving engagement, knowledge mastery, and course classification accuracy. The proposed approach combines traditional 3D teaching materials with modern evaluation tools, creating an enriched multimodal classroom experience that fosters effective learning in the Business English context. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of High Speed Electronics & Systems is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 192030663 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: A Study on the Application of Multimodal Discourse Analysis Combined with Computers in Business English Teaching and Courseware Production. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Miao%2C+Jiang%22">Miao, Jiang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> azjm202204101@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+High+Speed+Electronics+%26+Systems%22">International Journal of High Speed Electronics & Systems</searchLink>. Aug2026, Vol. 35 Issue 3, p1-20. 20p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Courseware%22">Courseware</searchLink><br /><searchLink fieldCode="DE" term="%22Business+English%22">Business English</searchLink><br /><searchLink fieldCode="DE" term="%22K-nearest+neighbor+classification%22">K-nearest neighbor classification</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+methodology%22">Evaluation methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Discourse+analysis%22">Discourse analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+aids%22">Teaching aids</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+platforms%22">Digital platforms</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-cultural+communication%22">Cross-cultural communication</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Business English is inherently interdisciplinary, encompassing areas such as international negotiation, trade cooperation, e-commerce, finance, marketing, and international exchange (IE). The major emphasizes both professionalism and practical application, equipping graduates for roles that require hands-on expertise. To meet the growing demand for cross-cultural communication skills and align with the teaching needs of Business English courses, this study explores the integration of multimodal discourse analysis with computer-based tools in Business English teaching. We introduce a variety of innovative multimodal approaches and create a dynamic, multimodal teaching platform for courseware development. Experimental results show that after one semester of implementation, students in the experimental class achieved a 16.3% higher average score in business expertise and a 14.6% improvement in business practice compared to the control group. Furthermore, our multimodal evaluation system, based on an improved K-nearest neighbors (KNN) algorithm, achieved an accuracy of 88% and an F1 score of 0.86. These outcomes validate the platform's impact in improving engagement, knowledge mastery, and course classification accuracy. The proposed approach combines traditional 3D teaching materials with modern evaluation tools, creating an enriched multimodal classroom experience that fosters effective learning in the Business English context. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of High Speed Electronics & Systems is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=192030663 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1142/S0129156425406485 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1 Subjects: – SubjectFull: Courseware Type: general – SubjectFull: Business English Type: general – SubjectFull: K-nearest neighbor classification Type: general – SubjectFull: Evaluation methodology Type: general – SubjectFull: Discourse analysis Type: general – SubjectFull: Teaching aids Type: general – SubjectFull: Digital platforms Type: general – SubjectFull: Cross-cultural communication Type: general Titles: – TitleFull: A Study on the Application of Multimodal Discourse Analysis Combined with Computers in Business English Teaching and Courseware Production. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Miao, Jiang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 01291564 Numbering: – Type: volume Value: 35 – Type: issue Value: 3 Titles: – TitleFull: International Journal of High Speed Electronics & Systems Type: main |
| ResultId | 1 |
