Design of an Interactive Intelligent Mobile System for College English Instruction Oriented toward Teaching Effectiveness Enhancement.
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| Title: | Design of an Interactive Intelligent Mobile System for College English Instruction Oriented toward Teaching Effectiveness Enhancement. |
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| Authors: | Tian, Pan1 13460530011@163.com |
| Source: | International Journal of Interactive Mobile Technologies. 2026, Vol. 20 Issue 11, p152-163. 12p. |
| Subjects: | Mobile learning, English language education, Effective teaching, Verbal behavior testing, Recommender systems, Augmented reality, Context-aware computing, Mobile computing |
| Abstract: | Traditional mobile learning systems for college English commonly suffer from high interaction latency, coarse-grained feedback, poor contextual adaptability, and insufficient utilization of on-device computing resources, which significantly constrain the learning experience and instructional effectiveness. To address these challenges, this study integrates mobile heterogeneous computing, lightweight on-device models, augmented reality (AR) visual interaction, and context-awareness technologies to construct an interactive intelligent mobile system aimed at improving teaching effectiveness in college English. The research focuses on optimizing mobile-side technical implementation by designing a heterogeneous computing scheduling engine tailored for mobile terminals to enable efficient collaborative execution of multiple on-device tasks. A lightweight on-device speech assessment and prosody correction algorithm is proposed to reduce reliance on cloud computing and improve feedback accuracy. In addition, a low-power, highly robust AR-based interactive corrective feedback mechanism is developed to address pronunciation organ movement correction in mobile learning scenarios. Furthermore, a context-aware collaborative filtering recommendation strategy is introduced to seamlessly adapt instructional content to fragmented mobile learning contexts. Multi-dimensional experimental results demonstrate that the proposed system effectively reduces interaction latency, optimizes mobile power consumption and runtime stability, and significantly enhances the effectiveness of college English speaking instruction. This study provides a novel solution for deep integration of technology and pedagogy in mobile education and offers technical references for related research and engineering applications. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Interactive Mobile Technologies is the property of International Journal of Interactive Mobile Technologies 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 | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194481373 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Design of an Interactive Intelligent Mobile System for College English Instruction Oriented toward Teaching Effectiveness Enhancement. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Tian%2C+Pan%22">Tian, Pan</searchLink><relatesTo>1</relatesTo><i> 13460530011@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Interactive+Mobile+Technologies%22">International Journal of Interactive Mobile Technologies</searchLink>. 2026, Vol. 20 Issue 11, p152-163. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Mobile+learning%22">Mobile learning</searchLink><br /><searchLink fieldCode="DE" term="%22English+language+education%22">English language education</searchLink><br /><searchLink fieldCode="DE" term="%22Effective+teaching%22">Effective teaching</searchLink><br /><searchLink fieldCode="DE" term="%22Verbal+behavior+testing%22">Verbal behavior testing</searchLink><br /><searchLink fieldCode="DE" term="%22Recommender+systems%22">Recommender systems</searchLink><br /><searchLink fieldCode="DE" term="%22Augmented+reality%22">Augmented reality</searchLink><br /><searchLink fieldCode="DE" term="%22Context-aware+computing%22">Context-aware computing</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+computing%22">Mobile computing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Traditional mobile learning systems for college English commonly suffer from high interaction latency, coarse-grained feedback, poor contextual adaptability, and insufficient utilization of on-device computing resources, which significantly constrain the learning experience and instructional effectiveness. To address these challenges, this study integrates mobile heterogeneous computing, lightweight on-device models, augmented reality (AR) visual interaction, and context-awareness technologies to construct an interactive intelligent mobile system aimed at improving teaching effectiveness in college English. The research focuses on optimizing mobile-side technical implementation by designing a heterogeneous computing scheduling engine tailored for mobile terminals to enable efficient collaborative execution of multiple on-device tasks. A lightweight on-device speech assessment and prosody correction algorithm is proposed to reduce reliance on cloud computing and improve feedback accuracy. In addition, a low-power, highly robust AR-based interactive corrective feedback mechanism is developed to address pronunciation organ movement correction in mobile learning scenarios. Furthermore, a context-aware collaborative filtering recommendation strategy is introduced to seamlessly adapt instructional content to fragmented mobile learning contexts. Multi-dimensional experimental results demonstrate that the proposed system effectively reduces interaction latency, optimizes mobile power consumption and runtime stability, and significantly enhances the effectiveness of college English speaking instruction. This study provides a novel solution for deep integration of technology and pedagogy in mobile education and offers technical references for related research and engineering applications. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Interactive Mobile Technologies is the property of International Journal of Interactive Mobile Technologies 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=194481373 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3991/ijim.v20i11.62125 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 152 Subjects: – SubjectFull: Mobile learning Type: general – SubjectFull: English language education Type: general – SubjectFull: Effective teaching Type: general – SubjectFull: Verbal behavior testing Type: general – SubjectFull: Recommender systems Type: general – SubjectFull: Augmented reality Type: general – SubjectFull: Context-aware computing Type: general – SubjectFull: Mobile computing Type: general Titles: – TitleFull: Design of an Interactive Intelligent Mobile System for College English Instruction Oriented toward Teaching Effectiveness Enhancement. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tian, Pan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 18657923 Numbering: – Type: volume Value: 20 – Type: issue Value: 11 Titles: – TitleFull: International Journal of Interactive Mobile Technologies Type: main |
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