Analysis of Learning Internal Drive of Private University Students Based on K_Means Clustering Algorithm

Ding Sanjun, Amit Yadav, Asif Khan, Dakshina Yadav

    Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review

    Abstract

    Learning drive plays an important role in improving the comprehensive quality of college students. This paper makes an in-depth analysis on the learning motivation of students in private colleges and universities, uses K means clustering algorithm to analyze the learning drive of students in private colleges and universities, and discusses the factors and countermeasures that affect the learning drive.

    Original languageEnglish
    Title of host publicationOCIT 2023 - 21st International Conference on Information Technology, Proceedings
    EditorsLaavanya Rachakonda, Niranjan K. Ray, Dilip Singh Sisodia, Jitendra Kumar Rout
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages703-707
    Number of pages5
    ISBN (Electronic)9798350358230
    DOIs
    Publication statusPublished - 2023
    Event21st OITS International Conference on Information Technology, OCIT 2023 - Raipur, India
    Duration: 13 Dec 202315 Dec 2023

    Publication series

    NameOCIT 2023 - 21st International Conference on Information Technology, Proceedings

    Conference

    Conference21st OITS International Conference on Information Technology, OCIT 2023
    Country/TerritoryIndia
    CityRaipur
    Period13/12/2315/12/23

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