Research on intelligent detection method of cognitive ability based on principal component analysis and extreme learning machine

Zhijie Zhang; Zengyan Peng

doi:10.1117/12.3025693

8 April 2024 Research on intelligent detection method of cognitive ability based on principal component analysis and extreme learning machine

Zhijie Zhang, Zengyan Peng

Author Affiliations +

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130904Q (2024) https://doi.org/10.1117/12.3025693
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

Online learning platforms have become increasingly popular, especially during the COVID-19 pandemic. However, measuring and predicting online student cognitive ability remains a challenging task. This paper presents a framework for measuring the cognitive ability level of students on online learning platform by using PCA and ELM. The method was tested on a dataset containing a large number of student data and compared to other prediction methods. The results from the experiment demonstrate the proposed method’s effectiveness in accurately predicting students’ cognitive abilities, and has a good performance in accuracy and efficiency. This approach can help educators better understand and support students’ learning processes.

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

Citation Download Citation

Zhijie Zhang and Zengyan Peng "Research on intelligent detection method of cognitive ability based on principal component analysis and extreme learning machine", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130904Q (8 April 2024); https://doi.org/10.1117/12.3025693

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