References
- Aissaoui, O., Madani, Y., Oughdir, L., Dakkak, A., & el ALLIOUI, Y. (2020). A Multiple Linear Regression-Based Approach to Predict Student Performance.
- Bakhshinategh, B., Zaïane, O., Elatia, S., & Ipperciel, D. (2018). Educational data mining applications and tasks: A survey of the last 10 years. Education and Information Technologies, 23.
- Gadhavi, M., Smt., & Patel, C. M. (2017). Student final grade prediction based on linear regression.
- Ihsan Zul, M. (2016). Prediction of Student Final Grade by using k-Nearest Neighbor Algorithm.
- Kaya Uyanık, G., & Güler, N. (2013). A Study on Multiple Linear Regression Analysis. Procedia - Social and Behavioral Sciences, 106, 234–240.
- Walker, R. (2008). Twelve Characteristics of an Effective Teacher: A Longitudinal, Qualitative, Quasi-Research Study of In- Service and Pre-Service Teachers’ Opinions. Educational Horizons, 87
- Wook, M., Yahaya, Y. H., Wahab, N., Isa, M. R. M., Awang, N. F., & Seong, H. Y. (2009). Predicting NDUM Student’s Academic Performance Using Data Mining Techniques. 2009 Second International Conference on Computer and Electrical Engineering, 2, 357–361.
- Zamanian, J., & Saeidi, M. (2017). Iranian EFL Teachers’ Perceptions, Practices and Problems Regarding Raising Students’ Intercultural Awareness. International Journal of English Linguistics, 7, 257
- Zhang, Z. (2016). Introduction to machine learning: K-nearest neighbors. Annals of Translational Medicine, 4, 218.
Cite this article
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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
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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
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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.
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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
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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.
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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
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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