A learning platform for basic courses of design major in colleges and universities based on data mining intelligent algorithms

Cun Lin

doi:10.1117/12.3025681

8 April 2024 A learning platform for basic courses of design major in colleges and universities based on data mining intelligent algorithms

Cun Lin

Author Affiliations +

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130904N (2024) https://doi.org/10.1117/12.3025681
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

With the arrival of a learning society, information networking has brought about a fundamental change in the way of knowledge dissemination. It has made modern education methods break away from restrictions in time and space. online learning platform (OLP) learning platform plays an increasingly important role in China’s education and has gradually become a widely accepted and adopted learning method. Therefore, based on data mining and intelligent algorithms, this paper conducts an in-depth study on the learning platform (LP) of basic courses for college design majors. This paper first introduces the data processing method and resource recommendation algorithm design, then analyzes the functional requirements of the LP and designs the overall architecture of the platform and the learning resource recommendation system, and finally analyzes the use of the LP and the learning resource recommendation system and draws the corresponding conclusions. The research results show that the LP and learning resource recommendation system meet the needs of users for basic course learning.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Cun Lin "A learning platform for basic courses of design major in colleges and universities based on data mining intelligent algorithms", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130904N (8 April 2024); https://doi.org/10.1117/12.3025681

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