Tutoring Innovation of Educational Informatization Transformation Path Based on Intelligent CAD and Trusted Neural Network.
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| Title: | Tutoring Innovation of Educational Informatization Transformation Path Based on Intelligent CAD and Trusted Neural Network. |
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| Authors: | Lin Liu1,2 LL1625431@163.com |
| Source: | Computer-Aided Design & Applications. 2025 Special Issue, Vol. 22, p274-286. 13p. |
| Subjects: | Learning ability, Information resources management, Management information systems, Information architecture, Educational innovations |
| Abstract: | Only by mining the correlation of data from the teaching management data can we better serve the university teaching management, motivate teachers to participate in teaching, improve the university's teaching quality and teaching effect, and cultivate qualified talents needed by society. With the application of BD (big data) technology, the application innovation of the whole information education management system is realized. This paper studies the path innovation of educational informatization transformation based on BD technology and TNN (Trusted Neural Network). The educational information architecture is constructed, and the features of users and projects are extracted from the basic information of users and projects by using the cascade sparse noise reduction self-encoder, which is integrated into the model to complete the integration with the scoring information and the top-ranked resources in the resource list are recommended to students and users, to achieve personalized recommendation. The results show that the accuracy of the recommendation algorithm based on the TNN model for processing project information is 12.19% higher than that of the traditional algorithm. The recommendation quality of the new algorithm is the highest due to the addition of user classification, which effectively alleviates the problem of users' cold start and the excellent project feature learning ability of the self-encoder DL (Deep learning) model. [ABSTRACT FROM AUTHOR] |
| Copyright of Computer-Aided Design & Applications is the property of Computer-Aided Design & Applications 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: 186758366 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Tutoring Innovation of Educational Informatization Transformation Path Based on Intelligent CAD and Trusted Neural Network. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lin+Liu%22">Lin Liu</searchLink><relatesTo>1,2</relatesTo><i> LL1625431@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computer-Aided+Design+%26+Applications%22">Computer-Aided Design & Applications</searchLink>. 2025 Special Issue, Vol. 22, p274-286. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Learning+ability%22">Learning ability</searchLink><br /><searchLink fieldCode="DE" term="%22Information+resources+management%22">Information resources management</searchLink><br /><searchLink fieldCode="DE" term="%22Management+information+systems%22">Management information systems</searchLink><br /><searchLink fieldCode="DE" term="%22Information+architecture%22">Information architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+innovations%22">Educational innovations</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Only by mining the correlation of data from the teaching management data can we better serve the university teaching management, motivate teachers to participate in teaching, improve the university's teaching quality and teaching effect, and cultivate qualified talents needed by society. With the application of BD (big data) technology, the application innovation of the whole information education management system is realized. This paper studies the path innovation of educational informatization transformation based on BD technology and TNN (Trusted Neural Network). The educational information architecture is constructed, and the features of users and projects are extracted from the basic information of users and projects by using the cascade sparse noise reduction self-encoder, which is integrated into the model to complete the integration with the scoring information and the top-ranked resources in the resource list are recommended to students and users, to achieve personalized recommendation. The results show that the accuracy of the recommendation algorithm based on the TNN model for processing project information is 12.19% higher than that of the traditional algorithm. The recommendation quality of the new algorithm is the highest due to the addition of user classification, which effectively alleviates the problem of users' cold start and the excellent project feature learning ability of the self-encoder DL (Deep learning) model. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computer-Aided Design & Applications is the property of Computer-Aided Design & Applications 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.14733/cadaps.2025.S8.274-286 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 274 Subjects: – SubjectFull: Learning ability Type: general – SubjectFull: Information resources management Type: general – SubjectFull: Management information systems Type: general – SubjectFull: Information architecture Type: general – SubjectFull: Educational innovations Type: general Titles: – TitleFull: Tutoring Innovation of Educational Informatization Transformation Path Based on Intelligent CAD and Trusted Neural Network. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lin Liu IsPartOfRelationships: – BibEntity: Dates: – D: 09 M: 02 Text: 2025 Special Issue Type: published Y: 2025 Identifiers: – Type: issn-print Value: 16864360 Numbering: – Type: volume Value: 22 Titles: – TitleFull: Computer-Aided Design & Applications Type: main |
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