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

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  • Mingli Sun
  • Jinxin Wang

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%.

Suggested Citation

  • Mingli Sun & Jinxin Wang, 2024. "Online allocation of teaching resources for ideological and political courses in colleges and universities based on differential search algorithm," International Journal of Information Technology and Management, Inderscience Enterprises Ltd, vol. 23(3/4), pages 278-290.
    • Handle: RePEc:ids:ijitma:v:23:y:2024:i:3/4:p:278-290
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