Title: Design and application of intelligent teaching system for network and new media major driven by artificial intelligence technology

Authors: Kun Zhang

Addresses: School of Media and Design, Xi'an Peihua University, Xi'an, Shaanxi 710125, China

Abstract: On the basis of the traditional intelligent teaching system (ITS), the personalised network and new media professional ITS uses AI technology to make reasonable improvements in the expansion of educational resources and in-depth exploration of educational significance making the ITS more intelligent. This article focuses on the design of intelligent teaching systems for networks and new media, analyses and uses a user interest model based on deep learning algorithms, proposes an optimisation solution for traditional intelligent teaching systems, and provides the implementation of system functions. The experiment shows that the model has achieved good results. The system's functionality was tested and the results showed that it was functioning normally and relatively stable. Through algorithm improvement, it further promotes the effective improvement of algorithm training effectiveness.

Keywords: network and new media; intelligent teaching system; AI technology; user interest model.

DOI: 10.1504/IJES.2024.143759

International Journal of Embedded Systems, 2024 Vol.17 No.1/2, pp.150 - 159

Received: 13 Dec 2023
Accepted: 03 Jul 2024
Published online: 06 Jan 2025 *

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