Year: 2021 | Month: August | Volume 12 | Issue 2
Statistical Analysis of Social Media and its Impact on Academic Performance of Different Age Group Students
Pasala. Srinivasa Rao
DOI:10.30954/2230-7311.2.2021.1
Abstract:
The limits between on-line and “genuine world” networks are quickly decaying, especially for the age of youngsters whose lives are infested by web based life. For this age, internet based life trades are an essential methods for correspondence, social commitment, data chasing, and perhaps, a focal segment of their character and network building. Teacher of psychiatry at UCLA, Dr. Gary Small, proposes these advanced locals—youngsters naturally introduced to a universe of PCs and PDAs, content informing, and tweeting—spend, by and large, over eight hours daily presented to computerized innovation, and may encounter generally unique mental health that favors steady correspondence and performing multiple tasks (Prensky, 2001). Given these real factors, postsecondary teachers should start to genuinely investigate the possibility to purposefully and deliberately saddle the intensity of these progressive changes in innovation use to all the more likely serve the requirements of understudies to improve their prosperity. Determinants of Acquiring Good results in Academics (for all age groups) analysis revealed that out of 7 explanatory variables 5 explanatory variables are significant at different probability levels. The coefficients of independent variables viz., student studying class and number of hours spent in study are significant at 10 percent probability level and also they indicate that increasing class level and number of hours spent in studying increase the performance of academics of children in the study area. Another two coefficients of variables namely number of hours spent in Internet and number of hours spent in Tuition are significant at 5 percent level. It also tells that the hours spent in either tuition or internet impacts positively. The other variable coefficient i.e., parent’s education is significant at 1 percent level. It reveals that parent’s education influence on children academic performance.
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