Service Enhancement and System Maintenance for MEIS.
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| Title: | Service Enhancement and System Maintenance for MEIS. |
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| Authors: | Li, Caiyi1,2 (AUTHOR), Peng, Changling1,2 (AUTHOR), Liu, Shuai1,2 (AUTHOR) liushuai@hunnu.edu.cn |
| Source: | Mobile Networks & Applications. Dec2025, Vol. 30 Issue 5/6, p1005-1007. 3p. |
| Subjects: | Recommender systems, Course evaluation (Education), Intelligent tutoring systems, Computational intelligence, 5G networks, Data protection, Data mining, Reliability in engineering |
| Abstract: | This article focuses on advancements and challenges in mobile education intelligent systems (MEIS) amid the rise of digital intelligence and 5G technology. It highlights recent research efforts to enhance MEIS services through personalized recommendation algorithms, learning behavior mining, course quality assessment, and action correction technologies, aiming to improve user experience and educational quality. Additionally, it addresses performance maintenance strategies including information sharing, risk warning systems, hierarchical data storage, and fake news detection to ensure system reliability and user privacy protection. The article emphasizes the need for interdisciplinary collaboration to further develop MEIS with autonomous learning and adaptive capabilities in the evolving digital education landscape. [Extracted from the article] |
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| Database: | Engineering Source |
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| Abstract: | This article focuses on advancements and challenges in mobile education intelligent systems (MEIS) amid the rise of digital intelligence and 5G technology. It highlights recent research efforts to enhance MEIS services through personalized recommendation algorithms, learning behavior mining, course quality assessment, and action correction technologies, aiming to improve user experience and educational quality. Additionally, it addresses performance maintenance strategies including information sharing, risk warning systems, hierarchical data storage, and fake news detection to ensure system reliability and user privacy protection. The article emphasizes the need for interdisciplinary collaboration to further develop MEIS with autonomous learning and adaptive capabilities in the evolving digital education landscape. [Extracted from the article] |
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| ISSN: | 1383469X |
| DOI: | 10.1007/s11036-025-02440-1 |
