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Predicting Students Grades Using Artificial Neural Networks and Support Vector Machine

Predicting Students Grades Using Artificial Neural Networks and Support Vector Machine

Sajid Umair, Muhammad Majid Sharif
Copyright: © 2019 |Pages: 16
ISBN13: 9781522573654|ISBN10: 1522573658|EISBN13: 9781522573661
DOI: 10.4018/978-1-5225-7365-4.ch059
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MLA

Umair, Sajid, and Muhammad Majid Sharif. "Predicting Students Grades Using Artificial Neural Networks and Support Vector Machine." Advanced Methodologies and Technologies in Modern Education Delivery, edited by Mehdi Khosrow-Pour, D.B.A., IGI Global, 2019, pp. 751-766. https://doi.org/10.4018/978-1-5225-7365-4.ch059

APA

Umair, S. & Sharif, M. M. (2019). Predicting Students Grades Using Artificial Neural Networks and Support Vector Machine. In M. Khosrow-Pour, D.B.A. (Ed.), Advanced Methodologies and Technologies in Modern Education Delivery (pp. 751-766). IGI Global. https://doi.org/10.4018/978-1-5225-7365-4.ch059

Chicago

Umair, Sajid, and Muhammad Majid Sharif. "Predicting Students Grades Using Artificial Neural Networks and Support Vector Machine." In Advanced Methodologies and Technologies in Modern Education Delivery, edited by Mehdi Khosrow-Pour, D.B.A., 751-766. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7365-4.ch059

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Abstract

Prediction of student performance on the basis of habits has been a very important research topic in academics. Studies show that selection of the correct data set also plays a vital role in these predictions. In this chapter, the authors took data from different schools that contains student habits and their comments, analyzed it using latent semantic analysis to get semantics, and then used support vector machine to classify the data into two classes, important for prediction and not important. Finally, they used artificial neural networks to predict the grades of students. Regression was also used to predict data coming from support vector machine, while giving only the important data for prediction.

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