Social Media Analytics for Academic Performance of Students

Abstract

Abstract

Nowadays social media become the public platform around the world to discuss issues or for getting information, finding friends and many more. It is part for daily life which refers a common activity amongst children, youngsters and emerging adults. Excessive usage of social media may raise the question about the performance of students. Prediction of any event is always fascinating and very important part of the research. In this article, we predict student performance and success rate in terms of their academic result and estimate the relation between students based depending on use or misuse of social media. Data is collected from WhatsApp groups of the class of 50 to 60 students to get their conveying and participating pursuits in specific subject. Analytics would be generated from students’ interconnection with educational systems and resources and other widely used social media apps. Analysis is based on how the students effected by media, purpose of use and the negative and positive impact on students. The age group used for prediction is between primary students to under graduate (engineering) students. Our result will reflect usage of social media, impact on their academic activity, and how to control the usage in college hours. This will also show the students movements on social media apps and devices are good predictors of academic performance or not.

Keywords: Social media analytics, WhatsApp, academic performance

Cite this Article

Chanchal P. Kedia, Nilesh J. Uke. Social Media Analytics for Academic Performance of Students. Journal of Electronic Design Technology. 2020; 11(1): 21–26p.