Bibliographic Details
| Title: |
Tutoring Innovation of Educational Informatization Transformation Path Based on Intelligent CAD and Trusted Neural Network. |
| 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] |
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| Database: |
Engineering Source |
