IDEAS home Printed from https://ideas.repec.org/a/cvr/ijisrt/202605ijisrt26may654.html

A Data-Driven Predictive Analysis of Academic Performance and Study Efficiency Among College Students

Author

Listed:
  • Romer M. Real

  • Jay T. Castor

  • Rolly B. Villanueva

  • Reginaldo Morijon

  • Cesar Joey Santillan

  • Serafin C. Palmares

  • Kristine T. Soberano

Abstract

This study examined the academic performance and study efficiency of college students, focusing on identifying critical behavioral predictors of success. The research was initially planned as a primary descriptive-survey using a 30-item Likert-scale questionnaire (Cronbach’s α = .85) for students in Negros Occidental. Due to ethical considerations during examination week, the study utilized a secondary data-driven dataset, a sample of 150 students was analyzed using a descriptive-predictive design with descriptive statistics and linear regression.

Suggested Citation

  • Romer M. Real & Jay T. Castor & Rolly B. Villanueva & Reginaldo Morijon & Cesar Joey Santillan & Serafin C. Palmares & Kristine T. Soberano, 2026. "A Data-Driven Predictive Analysis of Academic Performance and Study Efficiency Among College Students," International Journal of Innovative Science and Research Technology (IJISRT), IJISRT Publication, vol. 11(05), pages 344-348, May.
    • Handle: RePEc:cvr:ijisrt:2026:05:ijisrt26may654
    DOI: https://doi.org/10.38124/ijisrt/26May654
    as

    Download full text from publisher

    File URL: https://www.ijisrt.com/a-datadriven-predictive-analysis-of-academic-performance-and-study-efficiency-among-college-students
    Download Restriction: no
    File URL: https://libkey.io/https://doi.org/10.38124/ijisrt/26May654?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cvr:ijisrt:2026:05:ijisrt26may654. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Rahul Goyel (email available below). General contact details of provider: https://www.ijisrt.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.