Effect Of Facebook On Academic Performance

arrange Of Facebook On Academic PerformanceTHE IMPACT OF FACEBOOK ON STUDENTS ACADEMIC implementationINTRODUCTIONFacebook is dominate potential places among youth specially schoolchilds. Most of educatees ar expireing more date in using Facebook which is lead to disturb time spending in grooming. This enquiry is going to hear whether Facebook touch on on students execution or non in SLIATE. The SLIATE (Sri Lanka Institute of mod Technological Education) is one of the leading educational activityal institutions in Sri Lanka for higher education and is a statutory body coming under the purview of higher(prenominal) Education Division, Ministry of Education. SLIATE has been im fractioned by the Parliament Act 29 of 1995 center on fostering Advanced Technical Education at a post-secondary level and its head is Director General appointed by the cabinet. It is mandated to establish Advanced Technical Institute (ATI) in both province for some(prenominal) Engineering and Business Studies. (http//www.sliate.net/about.htm)BACKGROUND OF THE STUDYNowadays nigh of peoples subprogram Facebook to make social network among people all over the world. And students besides spending most of their time on much(prenominal) social media called Facebook. Facebook.com (Facebook), the most popular and comm moreover put ond online social network Web site, has created indignation among college students in modern years. College students be be sustain very interest in online social networking.Online social network sites such as Facebook work as an important entertainment for undergraduates. Facebook, the most popular social network site, was specifically designed for undergraduates and is the most comm wholly expenditured. Therefore, time spent on Facebook whitethorn come to pedantic process. For example, time spent on Facebook may this instant make believe and/or reasonable the students academician performance.OBJECTIVE OF THE STUDYThe ultimate purpose of this study is going to examine the utilization of Facebook weather it is dissemble on students academic performance or non. The core research perplexity of this report is what is the effect of online social networking site, Facebook, having on students academic performance (Examination Marks)? In other speech does time spending (access) every day on Facebook have a substantial move on academic performance (Examination Marks)? In addition to that this survey going to test do Sex, time and status of the student impact on academic performance on them?SIGNIFICANCE OF THE STUDYThe college classroom is single-valued functiond to delivering the product (student education) of the college. The objective of education is to have students learn and succeed. Thus, it is important to know and understand how student use of online social network sites (i.e. Facebook) meets academic success. Therefore, a critical examination of the impact of Facebook on academic performance is very essenti al.This useful presentation to admirer students, lecturer, teachers and academic leaders. Students, specially, can get better understand the consequences of Facebook site use on educational performance. Lecturer, teachers and academic leaders can get mensurate understanding and information about the relationship surrounded by the students time spend on Facebook and how it affects students academic performance. Also, academicians can be get well watchful to guide and mentor students regarding the negative impacts of Facebook sites on their academic performance.METHODOLOGYThis research is designed to test the impact of using Facebook on student academic success and performance in their exam. Research can explain through the collection of numerical selective information, which is then lose itd using computerized statistical pack shape up. With survey research, I can select a sort out of respondents, collect info, and analyze the data to answer the research question. I have col lected numerical as well as qualitative data from a render using questionnaire proficiency. This research is an appropriate investigation tool for making infer interpretations about a large group of people based on data collected from a smaller number of individuals from that group.POPULATION AND standardThe population for this study is Higher National Diploma 2009 Batch students of SLIATE, Kandy. The students academic performance is evaluated through final label taken by students in Strategic Financial Man ripenment. The individual multivariate is use of Facebook every day. This data was taken from the respective student through small questioner during the class. furthermore some demographic data also have been collected such as gender, age, and student status weather full time or part time. They set forth the sample characteristics. The student (sample) selected the answers from the survey that best described them.DATA ANALYSISI used SPSS 16.0 to perform the statistical a nalysis. canonic frequency analyses were conducted using demographic information. The questions were analyzed using descriptive statistical analyzing techniques. Descriptive statistics was a nonher statistical technique which is used in this study to define the flirt with, minimum mensurate, maximum value, and standard deviation for all the demographic varyings. SPSS is presented in tables and charts. Most importantly the core research questions answer is tested by using Independent Samples Test and analysis of variance test also is performed as statistical technique. I used this technique to find the impact of using (spending time every day) Facebook on students performance, by comparing ungenerouss tag between students who argon spending time on Facebook and who atomic number 18 not. So I used SPSS 16.0 to analyze statistic and interpret the result. This study is intended to sire attention to and aw arness of the impact of using Facebook on students academic performance.FIN DINGSThis function is presents the output generated by SPSS 16 from data collected for survey.Table 1 represents the total number of respondents included in the sample of 106 students. Among them 45 students atomic number 18 spending time on Facebook every day which represent 42.5%. nevertheless 61 students (57.5%) are not spending time on Facebook every day.Table 2 represents the status of the students such as whether full time or opus time students. 43 students are engaging in Full Time and 63 students are engaged in part time course.Table 3 represents the total sample consist of 64 students are female (60.4%) and 42 students are male (39.6%).Table 4 represents the age group of the sample. 68% of the sample students represents the age group of 25 Years. 15.1 % of students in 26 years age group. Other age groups are approximately similar to 10%.Table 5 represents summary of respondents. 11 female and 10 male Fulltime students, and 16 female and 8 priapic part-time students are spending time on Facebook every day. provided 11 female and 11 male Fulltime students, and 26 female and 13 Male part-time students are not spending time on Facebook every day.Table 6 represents the descriptive statistics of the sample with a variable of Facebook usage on students performance which is represented by Marks. The students stiff marks those who are spending time on Facebook is 77.36. At 95% confidence level the mean marks of the students lies between 74.52 to 80.19 marks. just there is a 5% change to the mean marks not lies within the range. And the standard deviation of marks is 9.432, median is 78.00, normal dissemination is negatively skewed to left at -.592.The students mean marks those who are not spending time on Facebook is 77.93. At 95% confidence level the mean marks of the students lies Between 75.96 to 79.91. But there is a 5% change to the mean marks is not lies in the range. And the standard deviation of marks is 7.726. , median is 78.00, normal distri bution is negatively skewed to left at -.276.Tests of NormalityH0 Students marks are normally distributedH1 Students marks are not normally distributedThe Tests of Normality are shown in the table 7. hither two tests for normality. For dataset small than 2000 elements, we use the Shapiro-Wilk test, otherwise, the Kolmogorov-Smirnov test is used. In our case, since we have only 106 elements, the Shapiro-Wilk test is used. From the table Group Yes p-value is .040 and Group No p value is .294. So in group yes, we can reject aught surmise and we can conclude that the data comes is not normal distribution. But in case of Group No, We cannot reject the null theory and conclude that the data comes from a normal distribution.However when analyze the Normal Q-Q plot of marks in Figure 1 Group yes is approximately normally distributed. So we can assume that data are normally distributed to use the independent sample test.Figure 1 Figure 2Figure 3Statistical HypothesisH0 Students marks of tw o groups are friction match (=)H1 Students marks of two groups are not equal ()Research HypothesisH0 Use of Facebook is not significantly affect the students performanceH1 Use of Facebook is significantly affect the students performanceThis table 8, represents the results of the independent-samples t-test. The Levenes results had an F-statistic of 1.844 with a significance value (P) of 0.177. Because, P (0.177 .05), the two variables has statistically equal variance distributions. Therefore, we can use the first row of t-test information to square up if the two group mean marks are statistically contrary from each other. The t-statistic value is -0.347. The degrees of immunity is 104. The 2-tailed significance value is 0.729. The difference between the means of two group is -0.579 and the standard error of this difference is 1.668. The 95% confidence breakup of the difference ranged from -3.887 to 2.729.Because P (0.729 0.05), we cannot reject null hypothesis i.e. there is no significant evidence that two groups students average marks are different, so we can come to the conclusion that use of Facebook is not significantly impact on students performance.Research HypothesisH0 Sex not significantly affect the students performance (=)H1 Sex is significantly affect the students performance ()The Levenes results had an F-statistic of 5.194 with a significance value (P) of 0.025. Because, P (0.025 (0.627 0.05), we cannot reject null hypothesis, so we can come to the conclusion that the average marks is statistically not significantly different in hinge on of students. So sex of the students are not impact on students performance.Research HypothesisH0 use of Facebook is not significantly affect the students performance (=)H1 use of Facebook is significantly affect the students performance ()Table 11 represents the results of the independent-samples t-test. The Levenes results had an F-statistic of 0.023 with a significance value (P) of 0.879. Because, P (0. 879 .05), the two variables has statistically equal variance distributions. Therefore, we can use the first row of t-test information to determine if the two group mean marks are statistically different from each other. The t-statistic value is -0.154. The degrees of freedom is 104. The 2-tailed significance value is 0. 878. The difference between the means of two group is -0.259 and the standard error of this difference is 1.668. At 95% confidence interval difference ranged from -3.591to 3.073.because P (0 .878 0.05), we cannot reject null hypothesis, so we can come to the conclusion that the average marks of the two group (Full time and Part Time) of students are statistically not significantly different. In other words students status is not impact on students performance.Research HypothesisH0 Age is not significantly affect the students performance (=)H1 Age is significantly affect the students performance ()Table 12 is represent ANOVA output. Which is used to compare mean differnces between age groups of the sample. The F-statistic is 0.753, The Sig value is 0.523.P (0.523 0.05), we cannot reject null hypothesis i.e there is no significant evidence to reject that age of students average marks are different, so we can come to the conclusion that the average marks of students age are statistically not significantly different. So students age is not impact on students performance.OVERALL CONCLUSIONThe use of Facebook is statistically not impact of students performance. Even sex, Age, or place also statistically not impact on students performance.LIMITATIONSThe selected variables are not significantly impact on students performance. To know what are the factors are touch students performance, we have to include more variable in addition to this variable and include more samples into the survey. The potential limitation of this study is that the participants are sampled from only one insti