Title: Online allocation of teaching resources for ideological and political courses in colleges and universities based on differential search algorithm

Authors: Mingli Sun; Jinxin Wang

Addresses: Changchun University of Architecture and Civil Engineering, Chang'chun, 130607, China ' Changchun University of Architecture and Civil Engineering, Chang'chun, 130607, China

Abstract: In order to improve the classification accuracy and online allocation accuracy of teaching resources and shorten the allocation time, this paper proposes a new online allocation method of college ideological and political curriculum teaching resources based on differential search algorithm. Firstly, the feedback parameter model of teaching resources cleaning is constructed to complete the cleaning of teaching resources. Secondly, according to the results of anti-interference consideration, the linear feature extraction of ideological and political curriculum teaching resources is carried out. Finally, the online allocation objective function of teaching resources for ideological and political courses is constructed, and the differential search algorithm is used to optimise the objective function to complete the online allocation of resources. The experimental results show that this method can accurately classify the teaching resources of ideological and political courses, and can shorten the allocation time, with the highest allocation accuracy of 97%.

Keywords: differential search algorithm; college ideological and political course; teaching resources; online allocation.

DOI: 10.1504/IJITM.2024.139577

International Journal of Information Technology and Management, 2024 Vol.23 No.3/4, pp.278 - 290

Received: 12 Dec 2022
Accepted: 27 Feb 2023
Published online: 04 Jul 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article