Page 1 of 7

Journal for Studies in Management and Planning

Available at http://edupediapublications.org/journals/index.php/JSMaP/

e-ISSN: 2395-0463

Volume 02 Issue 3

March 2016

Available online: http://edupediapublications.org/journals/index.php/JSMaP/ P a g e | 13

Impact of social media on students’ academic

performance; special reference to Eastern

University, Sri Lanka

1Musthafa Lebbai Fathima Haseena & 2Peer Mohamedu Mohamed Rasith

Assistant Lecturer,Department of Management, Easter University,Srilanka.

haseefathima96@yahoo.com

Student, Department of Management, Eastern University, Sri Lanka

rasithmohamedpeer@gmail.com

Abstract

The aim of the study was to analyze the

impact of social media on the student’s

academic performance [a study of

students of Eastern University, Sri Lanka].

In an assessment of this purpose a

quantitative survey was carried out among

students atEastern University of Sri

Lanka, using the convenient sampling

technique. There were six selected

variablesused for the purpose of this study

(i) Social Media, (ii) Communication, (iii)

Collaboration, (iv) Coordination (V)

Entertainment and (vi) Socialization.

Research findings shows that a great

number of students in Eastern University

of Sri Lanka, has access to the internet.

There is a significant positive correlation

between SM and AP if the students spend

more time on SM it will help the students

to easily discuss about the study task,

assignment and exams now all type of SM

is easily available and accessible easily.

Abbreviations:

SM- Social Media

AP- Academic Performance

Key Words:

Academic Performance,Collaboration,

Communication, Coordination, Social

Media, and Socialization.

Introduction

The social media has become one of the

most important communication means in

recent times. However, social networking

exist so as to provide communication

among people regardless of the distance,

making it open to people easily share

information, files and pictures and videos,

create blogs and send messages, and

conduct real-time conversations. These

systems are referred to as social, simply

because they allow communication with

buddies and co- workers so easily and

effectively. It also strengthens the ties

between people of those systems. The

Page 2 of 7

Journal for Studies in Management and Planning

Available at http://edupediapublications.org/journals/index.php/JSMaP/

e-ISSN: 2395-0463

Volume 02 Issue 3

March 2016

Available online: http://edupediapublications.org/journals/index.php/JSMaP/ P a g e | 14

favorite in the realm of internet sites are

Facebook, twitter andothers.

The driving factors for adoption of social

media are the progressively ubiquitous

access, convenience, functionality, and

flexibility of social technologies. It has

been contended that, poor greater

education, social technologies supports

social constructivist techniques to learning

they potentially have to improve students’

construction of understanding and

promote student interaction.

Since the advent of social media sites in

the 1990, it’s assumed in some quarters

that the academic performances of

students are facing a lot of neglect and

challenges. There is a deviation

distractions and divided attention between

social networking activities and their

academic work. It’s observed that students

devote more attention to social media than

they do their studies. Therefore, the

question of this study is out to answer, is

out to social media affect the academic

performance of students of Eastern

university

“Whether the Social Media impact on

Academic Performance of the Students

of Eastern University, SriLanka,

Vantharumoolai?”

METHODOLOGY AND

TECHNIQUES

Data & Sampling

The study was conducted among the

students of Eastern University, Sri Lanka.

A sample of 200students was chosen from

4 faculties based on convenient sampling

technique (see Table 1).The type of

research is deductive and variables are

measured with quantitative analysis.

Primary data are collected through

structured questionnaires with closed

statements measured with Likert’sscale

(1-5 as strongly disagree to strongly

agree), based on five popular Social

Medias namely (Face book, Twitter,

YouTube, LinkedIn and WhatsApp).

Table 1: Sampling Framework

Faculties Population Sample

Commerce

&Management

600 50

Agriculture 600 50

Science 600 50

Arts & Culture 1200 50

Total 3000 200

Method of Data Analysis and

Evaluation

Page 3 of 7

Journal for Studies in Management and Planning

Available at http://edupediapublications.org/journals/index.php/JSMaP/

e-ISSN: 2395-0463

Volume 02 Issue 3

March 2016

Available online: http://edupediapublications.org/journals/index.php/JSMaP/ P a g e | 15

Univariate analysis

Univariate analysis is carried out for

evaluating the attributes of dimensions

and variables individually based on the

response in the questionnaires. For this

purpose, mean values and standard

deviation of the dimensions and variables

are taken into consideration.

Table 2: Decision Criteria for

Univariate Analysis

Where Xi = mean value of a

dimension/variable, σ = standard

deviation, Z = value of the 95%

confidence limit and σx = standard error

of the mean

Bivariate analysis

Bivariate analysis used to measure the

magnitude and direction of the

relationship between SM and AP. Here

the correlation and simple regression

analysis was used to identify the

relationship and to find to what extend

social media impact on academic

performance

LITERATURE REVIEW

Social media

Social mediais the collective of online

communications channels dedicated to

community-based input, interaction,

content-sharing and collaboration.

Communication

Communication is the act or process of

using words, sounds, signs, or behaviors to

express or exchange information or to

express your ideas, thoughts, feelings,

etc., to someone else.

Collaboration

Work with another person or groupin order

to achieve or do something.

Entertainment

Entertainment is the action of providing or

being provided with amusement or

enjoyment

Range for

Decision

Criteria

Decisio

n

Criteria

Decision

Attribute

Xi < -Z σx Xi < 3 Low Level

-Z σx ≤ Xi ≤ Z

σx

Xi = 3 Moderate

Level

Xi > Z σx Xi > 3 High Level