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Authors
Alnfiai, Mrim M.
Alotaibi, Faiz Abdullah
Alnahari, Mona Mohammed
Alsudairy, Nouf Abdullah
Alharbi, Asma Ibrahim
Alzahrani, Saad
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Funding
Funding for this research was provided by:
King Saud University (RSPD2025R838)
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Article History
Received: 3 December 2024
Accepted: 30 May 2025
First Online: 23 June 2025
Competing interests
: The authors declare no competing interests.
: This study involves using anonymized, historical datasets (educational data) collected from various institutions to evaluate a machine learning framework for educational analytics. The data includes academic performance records, cognitive assessments, and demographic information; however, all personally identifiable information was removed before analysis. This study had no intervention, interaction, or direct involvement with human participants.
: This study did not involve direct interaction with human participants. The data for developing and evaluating the CognifyNet model were anonymized from various educational institutions. The researchers removed all personal identifiers before data access, and no individual student could be identified through the analysis or publication of results.
