Research on Optimization and Allocation of English Teaching Resources

Chongya Liu, Jue Xia and Man Fai Leung

Mathematical Problems in Engineering, 2022, vol. 2022, 1-8

Abstract: To rationally allocate teaching resources in English teaching, a teaching resource optimization and allocation management method is proposed based on a convolutional neural network (CNN) and Arduino device. By constructing a 9-layer CNN classification and recognition model and the English education resource library of the Arduino device and applying them to the recognition program design of the Arduino device, the rational optimization and allocation of teaching resources are realized. Simulation results show that the recognition accuracy of the proposed method is over 90% for Arduino devices, and the recognition accuracy is over 80% for real English teaching scenarios, which means that the proposed method has a certain practical application value. Moreover, the interaction mode between English learners and English teaching resources is innovated, which contributes to the optimization and allocation of English teaching resources. Thus a new idea is generated to integrate the English teaching resources.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/mpe/2022/1342998.pdf (application/pdf)
http://downloads.hindawi.com/journals/mpe/2022/1342998.xml (application/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:1342998

DOI: 10.1155/2022/1342998

Access Statistics for this article

More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().