Social Media Effect On Students Academic Performance Based On Their Usage

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Social Media Effect On Students Academic

Performance Based On Their Usage

Dr.V.Krishna Priya, Dr.P.G. Thirumagal, Dr.G.Madhumita

Abstract: Social Media is the internet services which helps an opportunity to create public based profile with in a boundary. The present study is based on the effects of social media on students academic performance based on the usage. In this study, to measure the effects of social media a structured questionnaire was framed based on the past reviews. Social Media is considered as a independent factor and Time Duration, Connectivity with friends and people, privacy concerns, technology advancement are mediating factors whereas academic performance is considered as dependent factors. The sample size collected for this study was 725. The collected data was analyzed through SPSS 21.V. The statistical tool regression is applied to analyzed the data. From the current study, it is revealed that based on the usage of social media there is a almost positive impact on the student's academic performance.

Keywords: Social media, Connectivity with friends and people , Time Duration , technology advancements, privacy concerns and Academic performance.

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1. INTRODUCTION :

In the current scenario, usage of internet has been increased significantly. Social media is an internet based application that helps people or organization to interact with each other in the digital world. It is a multiple communication, where Social media has spread very wide and for interaction regularly used social media platforms are whatsapp , face book , Instagram , You tube , Linked In, Twitter etc. Usage of social media among students has been drastically increased now-a- days. Zahid Amin,et.al (2016). Students spend most of their time on social media for various academic purpose such as exchange of materials, academic discussion, downloading academic content etc. In the present scenario, many people are drastically shifting from listening to radios and watching television to using of social media. Therefore the social media impacts on human life style and society specially in the student's academic performance stated by Faijun et.al (2018). There are various factors of social media which has an impact on the students performance especially in academics, but factors like Connectivity with friends and people , Time Duration , technology advancements, privacy concerns are considered for this study discussed by Thirumagal et.al, (2019).

OBJECTIVES OF THE STUDY :

 To examine the impact of social media on students academic performance.

 To analyse the influence of time Duration, Connectivity with friends and people, privacy concerns, technology advancement on students academic performance.

REVIEW OF LITERATURE :

Asur and Huberman, (2010) observed that Social media helps in sharing of information, digital communication between individuals and also establishment of new relationship. Usage of social media is changing continuously. Personal interaction between people has affected a lot. Hence, the present generation are losing the charm of personal relationship among family members, friends, neighbours and in the society. Krithika, et.al (2013) articulated that social media offers many opportunities like connectivity between friends and people with common interest. Most of the students depend on social media for gathering information related to the acedemics. Social media has revolutionised the world whereas social media can be exploited by students for the better future. It has to be connected to share information, opinion or exchange of ideas related to academics but not on wasting the time. Gilbert, et.al( 2018) studied that social media helps students for overall development, can find new friends and also discuss various issues like academics, entertainment, sports etc. Most of the studies found out that students who are interacting more on social media has a positive impact on their academic performance because they share ideas and generate new concepts related to their subject. Social media sites creates opportunities throughout the world depends on individual interest. Academic institutions also plays a major role in the usage of social media, institutions should promote social network not only for entertainment and communication but also create interest in learning. Sonia(2019) has mentioned that Students who has participated in social media has presented a better academic performance that who did not participate or took the traditional style of learning. Kingsley (2019) has highlighted that social media is a communication tool among students especially in the higher education which helps tutor to use technology for effective delivery to promote learning among students. Krishna prasad,et.al(2015) has studies that social media is a good technology based platform where people connect to old friends, share their ideas and express feeling with each other.

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 Dr.V.Krishna Priya,MBA,M.Phil, Ph.D, Assistant Professor, School of Management Studies, Vels Institute of Science, Technology and Advanced Studies, Chennai-117.E-mail: [email protected], [email protected]

 Dr.P.G. Thirumagal, MBA,Mphil, NET, Ph.D, Associate Professor, School of Management Studies, Vels Institute of Science, Technology and Advanced Studies, Chennai-117. E-mail: [email protected], [email protected]

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MATERIALS AND METHODS:

In this study descriptive research method was adopted and the sample size considered is 725. A Non probability convenience sampling technique has been considered. Both Primary data as well as secondary data are used. Primary data is collected by using a self developed structured questionnaire and secondary data is through magazines, Journals, websites etc. Questionnaire comprises of 2 major sections, Sec A is used to collect the demographical details of respondents such as gender, age, usage of social media sites etc where as Sec B includes variables like time duration, connectivity with friends and people, privacy concerns, technology advancement and students through 5- point likert's scale ranging from 5- strongly agree to 1- Strongly Disagree. Reliability of data was tested using Cronbach's alpha test and value from the test was 0.775, which was found to be high reliability of data. Hence, it was concluded the data can be utilised for further statistical analysis.

DATA ANALYSIS AND INTERPRETATION

Multiple Regression:

Impact of social media on students’ academic performance: H01: There is no significant impact of SMS helps studies on students’ academic performance

H02: There is no significant impact of routine habit on SMS daily on students’ academic performance

H03: There is no significant impact of SMS connects other college students on students’ academic performance H04: There is no significant impact of sharing materials in SMS on students’ academic performance

H05: There is no significant impact of feeling positive of SMS on students’ academic performance

H06: There is no significant impact of expressing feelings in SMS on students’ academic performance

H07: There is no significant impact of SMS affects mu routine academic performance on students’ academic performance

H08: There is no significant impact of SMS negative effects on academic performance on students’ academic performance

H09: There is no significant impact of SMS has positive effect in my life on students’ academic performance

Social media variables B p

(Constant) -2.832 .000

SM_HELPS_STUDIES .183 .000

ROUTINEHABIT_SM_DAILY .074 .023

SMS_CONNECT_OTHERCOLLS

TU .033 .222

SHARE_MAT_USING_SMS .124 .000

FEEL_POSITIVE_SMS_STUACA

PER .203 .000

EXP_FEELINGS_SMS_REGU .071 .012

SMS_AFFECT_ACA_PERF .021 .505

SMS_NEG_EFFECT_ACA_PERF .037 .219

SMS_POSITI_IMPACT_MYLIFE .015 .642

a. Dependent Variable: academicperf

It was found from the above that the p value of SMS helps in studies, routine habit on SMS daily, sharing materials in SMS, feeling positive of SMS and expressing feelings in SMS was less than 0.05 which shows that null hypothesis H01, H02, H04, H05 and H06 were rejected. All these variables have an impact on students’ academic performance.

ACAPERF = C+(β1)SM_HELPS_STUDIES+ (β2)ROUTINEHABIT_SM_DAILY+(β3)SMS_CONNECT_O

THERCOLLSTU+ (β4)SHARE_MAT_USING_SMS+ (β5)FEEL_POSITIVE_SMS_STUACAPER+

(β6)EXP_FEELINGS_SMS_REGU+ (β7)SMS_AFFECT_ACA_PERF+

(β8)SMS_NEG_EFFECT_ACA_PERF+(β9)SMS_POSITI_I MPACT_MYLIFE

Model:

Model R R Square Adjusted R Square

1 .470a _.221 _.211

b. Dependent Variable: academicperf

R Square value was 0.221 which shows that all the independent variables together impact dependent variable with 22.1%

ANOVAb

Model

Sum of Squares Df

Mean

Square F Sig.

Regressi

on 160.183 9 17.798 22.571 .000

a

Residual 563.817 715 .789

Total 724.000 724

It was found from the Anova table that the p value was less than 0.05 which shows that the model is fit.

Impact of time duration on students’ academic performance:

H010: There is no significant impact of spending more time in SMS disturbs regular life on students’ academic performance

H011: There is no significant impact of spending more time in SMS on students’ academic performance

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2717 B P

1

(Constant) -.605 .000

SPENDMORETIME

SMSDISTURBSREGLIFE .023 .493

SPENDMORETIMESMS .105 .004

STAYAWAKE_NIGHTS_EARLY_

SPENDTIME_SMS .055 .047

It was found from the above that the p value of spending more than in SMS and stay awake at nights and early to spend time was less than 0.05 which shows that null hypothesis H011 and H012 were rejected. All these variables have an impact on students’ academic performance.

ACAPERF =

C+(β1)SPENDMORETIMESMSDISTURBSREGLIFE + (β2)SPENDMORETIMESMS

+(β3)STAYAWAKE_NIGHTS_EARLY_SPENDTIME_SMS

ANOVAb

Model

Sum of Squares Df

Mean

Square F Sig.

Regression

Residual Total

22.227 3 7.409 7.612 .000a

701.773 721 .973

724.000 724

Dependent Variable: academicperf

It was found from the Anova tale that the p value was less than 0.05, which shows that the model is fit.

Impact of connectivity with friends and people on students’ academic performance:

H013: There is no significant impact of connected with my friends and teachers regularly in SMS on students’ academic performance

H014: There is no significant impact of SMS helps to connect with old friends on students’ academic performance

H015: There is no significant impact of interact more with people on social media sites rather than face to face on students’ academic performance

H016: There is no significant impact of get academic related information from my social media site members on students’ academic performance

H017: There is no significant impact of access to online information helps me to learn new concepts along with my friends on students’ academic performance

H018: There is no significant impact of friends made by social sites are trustworthy on students’ academic performance

H019: There is no significant impact of Social media easily distracts me during class hours on students’ academic performance

H020: There is no significant impact of have lot of friends on social media than in real lifeon students’ academic performance

H021: There is no significant impact of prefer to share my feelings, ideas in social media sites.on students’ academic performance

B P

1 (Constant) _{-2.732 .000}

CONNECT_FRIENDS_ TEACHERS_REGU

.108 .002

SMS_HELP_CONNECT_ OLDFRIENDS

.077 .047

INTERACT_MORE_SMS_ MORE_FTOF

.027 .336

GET_ACAD_INFO_SMS

.169 .000

HELPS_LEARN_NEWCONCEPTS _WITHFRIENDS

.148 .000

FRIENDS_MADE_SMS_ TRUSTWORTHY

.106 .001

SM_DISTRACTS_ CLASSHOURS

.041 .141

HAVE_MORESMFRIENDS_ REALLIFE

.005 .863

PREFERTOSHARE_FEELINGS _IDEAS_SM

.046 .093

It was found from the above that the p value of H013, H014, H016, H017 and H018 was less than 0.05 which shows that null hypothesis 0f these were rejected. It shows that all

1 _.175a

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these variables have an impact on students’ academic performance.

ACAPERF =

C+(β1)CONNECT_FRIENDS_TEACHERS_REGU + (β2)SMS_HELP_CONNECT_OLDFRIENDS

+(β3)INTERACT_MORE_SMS_MORE_FTOF + (β4)GET_ACAD_INFO_SMS + (β5)HELPS_LEARN_NEWCONCEPTS_WITHFRIENDS + (β6)FRIENDS_MADE_SMS_TRUSTWORTHY + (β7)SM_DISTRACTS_CLASSHOURS + (β8)HAVE_MORESMFRIENDS_REALLIFE + (β9)PREFERTOSHARE_FEELINGS_IDEAS_SM

Model:

Model R R Square

Adjusted R Square

1 _.417a

.174 .164

ANOVAb

Model

Sum of Squares Df

Mean

Square F Sig.

Regrssion

Residual Total

126.154 9 14.017 16.764 .000a

597.846 715 .836

724.000 724

It was found from the Anova table that the p value was less than 0.05 which shows that the model is fit

Impact of privacy concern on students’ academic performance:

H022: There is no significant impact of posting personal information on SMS misused on students’ academic performance

H023: There is no significant impact of feel there are various privacy issues related to social media site on students’ academic performance

H024: There is no significant impact of feel sharing of common things will be more useful than personal things on students’ academic performance

H025: There is no significant impact of privacy concerns social media sites should be used carefully on students’ academic performance

H026: There is no significant impact of regret any information shared or posted on social media on students’ academic performance

H027: There is no significant impact of regularly post pictures of my family, friends, home etc. on students’ academic performance

H028: There is no significant impact of always include contact information in my profile on students’ academic performance

B P

1 (Constant)

-1.822 .000

PERSONALIFO_MISUSE_SMS

-.013 .396

PRIVACYISSUES_SMS

.043 .227

SHARING_COMONTHINGS_ MOREUSEFUL_

THANPERSONAL .133 .000

PRIVACYCONCERNS_SMS

.113 .001

REGRET_INFO_SHARED_SMS

.104 .000

REGU_POST_PICTURES_SMS

.064 .030

INCLUDE_CONTACTINFO_

SMS_PROFILE .092 .001

It was found from the above that the p value of H024, H025, H026, H027 and H028 was less than 0.05, which shows that null hypothesis of these were rejected. It shows that all these variables have an impact on students’ academic performance.

ACAPERF = C+(β1)PERSONALIFO_MISUSE_SMS + (β2)PRIVACYISSUES_SMS

+(β3)SHARING_COMONTHINGS_MOREUSEFUL_THANP ERSONAL + (β4)PRIVACYCONCERNS_SMS + (β5)REGRET_INFO_SHARED_SMS + (β6)REGU_POST_PICTURES_SMS + (β7)INCLUDE_CONTACTINFO_SMS_PROFILE

Model:

1 _.335a

.112 .104

ANOVAb

Model

Sum of Squares df

Mean

Square F Sig.

Regression

Residual

Total

126.154 9 11.630 12.977 .000a

597.846 715 .896

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Impact of Technology advancement on students’ academic performance:

H029: There is no significant impact of feel technology helps to be connected on social media sites on students’ academic performance

H030: There is no significant impact of regularly update my phone /system for easy access of social media on students’ academic performance

H031: There is no significant impact of regular updating of phone/ system helps to share information quickly on students’ academic performance

H032: There is no significant impact of regularly collect information about my device locations, including specific geographic locations, through GPS, Bluetooth, or WiFi signals on students’ academic performance

H033: There is no significant impact of access public information faster on students’ academic performance H034: There is no significant impact of effective tool for e – learning among students on students’ academic performance

B p

1 (Constant) _-2.074 _.000

TECH_CONNECTS_SMS

.042 .271

REGU_UPDATE_PHONEORSYSTEM_ ACCESS_SMS

.021 .556

REGULAR_UPDATE_PHONEORSYSTEM_ HELPS_ACCESS_SMS

.157 .000

REGU_COLLECT_DEVICELOC_GEOLOC_ GPS_BLUETOOTH_WIFI

.119 .001

ACCESS_PUBLICINFO_FASTER

.037 .276

EFFECTIVE_ELEARNING .171 .000

It was found from the above that the p value of H031, H032 and H34 was less than 0.05 which shows that null hypothesis 0f these were rejected. It shows that all these variables have an impact on students’ academic performance.

ACAPERF = C+(β1)TECH_CONNECTS_SMS + (β2)REGU_UPDATE_PHONEORSYSTEM_ACCESS_SMS +(β3)REGULAR_UPDATE_PHONEORSYSTEM_HELPS_

ACCESS_SMS +

(β4)REGU_COLLECT_DEVICELOC_GEOLOC_GPS_BLU ETOOTH_WIFI + (β5)ACCESS_PUBLICINFO_FASTER + (β6)EFFECTIVE_ELEARNING

Model:

1

.432a_.186 _.179

1

.432a .186 .179

ANOVAb

Model

Sum of Squares Df

Mean

Square F Sig.

Regression

Residual

Total

134.820 6 22.470 27.383 .000a

589.180 718 .821

Total 724.000 724

FINDINGS & DISCUSSIONS:

Usage of social media sites and its different applications had increased significantly and it has become a essential part of students day to day life. In social media, SMS helps in studies, routine habit on SMS daily, sharing materials in SMS, feeling positive of SMS and expressing feelings in SMS have significant impact on students’ academic performance. In time duration, spending more time in SMS and stay awake at nights and early to spend time in SMS have significant impact on students’ academic performance. In connectivity with friends and people, connected with my friends and teachers regularly in SMS, SMS helps to connect with old friends, to get academic related information from my social media site members, access to online information helps me to learn new concepts along with my friends and friends made by social sites are trustworthy have significant impact on students’ academic performance. In privacy concern, feel sharing of common things will be more useful than personal things, privacy concerns social media sites should be used carefully, regret any information shared or posted on social media, regularly post pictures of my family, friends, home etc and always include contact information in my profile have significant impact on students’ academic performance. In technology advancement, regular updating of phone/ system helps to share information quickly, regularly collect information about my device locations, including specific geographic locations, through GPS, Bluetooth, or WiFi signals and effective tool for e – learning among students have significant impact on students’ academic performance.

CONCLUSION:

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Especially students community are getting addicted to social media sites for various purposes such as sharing of information, connecting with new as well as old friends, academic usage(Krishna priya,et.al 2018). From the above. it is concluded that usage of social media has almost positive impact on the student's academic performance. Among four variables considered in this paper, time duration and connectivity with friends and people privacy concerns has strong significant impact on students academic performance. Also, other variables such as privacy concerns and technology advancement has a minimal significant impact on students academic performance.

SCOPE FOR FUTURE RESEARCH:

In Future, researchers can study social media dynamism and its effect on user’s perceptions on social and academic innovations. Future effects of social media on politics, business marketing, educational transformation, employment opportunity, marriage and alliance portals, etc. are prominently noticed. The future researches would benefit by knowing SNS social reality from this model. The future research can concentrate social media impact on these societal issues.

REFERENCES :

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