Impact of social media on the academic performance of college students in Kashmir

Author:

Palla Ishfaq Ahmad,Sheikh Arslan

Abstract

Purpose The use of social media is prevalent and having the largest number of members than any other online platform available on the internet. Members of all age groups use social media websites according to their needs. This study aims to investigate the impact of social media usage on the academic performance of college students in Kashmir. Design/methodology/approach A structured questionnaire was formulated and a survey was carried out to collect data from the undergraduate students of different government colleges in Kashmir. The questionnaires were distributed randomly among both, male and female of the first, second and third year students of different undergraduate programs. Findings The findings show a majority of the students use social media networking sites to fulfill their educational needs. YouTube is the most largely used social media network among undergraduate students. A majority of the students feel that social media networks are easy to use and they have been using these sites for the past three years. The use of social media greatly helps the students to share knowledge and information with others, to improve their academic grades and to improve their reading and writing skills. A majority of the students spend an hour in using social media networks. Students use their laptops, mobile phones and personal computers to access social media websites. Social implications This study will help to highlight the important role of social media networks in the pedagogical activities of students. Originality/value This study affirms that students do use social media networking sites for academic purposes, which is a good factor to improve their academic skills and grades. Teachers must encourage their students to make the best use of social media networking sites for recreational and academic purposes.

Publisher

Emerald

Subject

Library and Information Sciences,General Computer Science

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