PREDICTION OF STUDENT ACHIEVEMENT THROUGH TEACHERS PROFESSIONAL CHARACTERISTICS BY USING ARTIFICIAL INTELLIGENCE

http://dx.doi.org/10.31703/gesr.2022(VII-II).31      10.31703/gesr.2022(VII-II).31      Published : Jun 2022
Authored by : Muhammad Ismail Sheikh , Haseeb Ahmad , Huma Lodhi

31 Pages : 325-339

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Cite this article

    APA : Sheikh, M. I., Ahmad, H., & Lodhi, H. (2022). Prediction of Student Achievement through Teacher's Professional Characteristics by using Artificial Intelligence. Global Educational Studies Review, VII(II), 325-339. https://doi.org/10.31703/gesr.2022(VII-II).31
    CHICAGO : Sheikh, Muhammad Ismail, Haseeb Ahmad, and Huma Lodhi. 2022. "Prediction of Student Achievement through Teacher's Professional Characteristics by using Artificial Intelligence." Global Educational Studies Review, VII (II): 325-339 doi: 10.31703/gesr.2022(VII-II).31
    HARVARD : SHEIKH, M. I., AHMAD, H. & LODHI, H. 2022. Prediction of Student Achievement through Teacher's Professional Characteristics by using Artificial Intelligence. Global Educational Studies Review, VII, 325-339.
    MHRA : Sheikh, Muhammad Ismail, Haseeb Ahmad, and Huma Lodhi. 2022. "Prediction of Student Achievement through Teacher's Professional Characteristics by using Artificial Intelligence." Global Educational Studies Review, VII: 325-339
    MLA : Sheikh, Muhammad Ismail, Haseeb Ahmad, and Huma Lodhi. "Prediction of Student Achievement through Teacher's Professional Characteristics by using Artificial Intelligence." Global Educational Studies Review, VII.II (2022): 325-339 Print.
    OXFORD : Sheikh, Muhammad Ismail, Ahmad, Haseeb, and Lodhi, Huma (2022), "Prediction of Student Achievement through Teacher's Professional Characteristics by using Artificial Intelligence", Global Educational Studies Review, VII (II), 325-339
    TURABIAN : Sheikh, Muhammad Ismail, Haseeb Ahmad, and Huma Lodhi. "Prediction of Student Achievement through Teacher's Professional Characteristics by using Artificial Intelligence." Global Educational Studies Review VII, no. II (2022): 325-339. https://doi.org/10.31703/gesr.2022(VII-II).31