JOURNAL ARTICLE
Design of English viewing, listening, and speaking mobile teaching software based on an interactive digital media algorithm.
Published In: Journal of Intelligent & Fuzzy Systems, 2024, v. 46, n. 2. P. 3505 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Zhao, Hongyan 3 of 3
Abstract
This article focuses on the development and evaluation of English audio-visual and oral mobile teaching software based on interactive digital media algorithms to enhance English language learning. The software integrates auditory and visual modalities to support listening and speaking skills, employing algorithms for pronunciation error detection, semantic ontology modeling, and automated translation to provide real-time feedback and personalized learning. An experimental study with senior high school students demonstrated that the use of this mobile teaching software improved vocabulary, listening, speaking abilities, and overall English performance, particularly benefiting lower-performing students. The article concludes that such mobile applications have significant practical value for English education by fostering active learner engagement and recommends further enhancement of teaching materials, interface design, and interactivity to maximize educational outcomes.
Additional Information
- Source:Journal of Intelligent & Fuzzy Systems. 2024/02, Vol. 46, Issue 2, p3505
- Document Type:Article
- Subject Area:Computer Science
- Publication Date:2024
- ISSN:1064-1246
- DOI:10.3233/JIFS-233741
- Accession Number:175791062
- Copyright Statement:Copyright of Journal of Intelligent & Fuzzy Systems is the property of Sage Publications Inc. 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.)
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