Use of data clustering to enhance student and teacher performance

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International Journal of Development Research

Volume: 
7
Article ID: 
8815
3 pages
Research Article

Use of data clustering to enhance student and teacher performance

Mayank Thaldi, Shubham Jain, Mangesh Biradar, Akash Jha, Snehal Chaudhary, Shreekala Deshmukh and Priyanka Paygude

Abstract: 

In past decades, number of people interested in online courses has increased exponentially. Many new websites are deployed every day focusing on online courses. Recent research focuses more on teacher's decision making. There is a huge scope for teachers to improve, provided sophisticated tool. In this paper we differentiate student groups based on their score and comments and then provide suitable suggestions to teachers. We achieve this through Regression and Clustering. We will mainly focuses on K-mean algorithm to achieve our desired result. We remove noisy and inconsistent data and provide teachers with suitable solutions. This will result in better teaching and learning experience for both student and the teacher. We will do Regression and Clustering with the help of Weka.. We will host our server on local server using XAMPP and test our results

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