A REGRESSION ANALYSIS ON THE HOURS SPENT ON THE INTERNET AND TIME SPENT TO STUDY ON ACADEMIC PERFORMANCE OF STUDENTS

  • Type: Project
  • Department: Statistic
  • Project ID: STS0048
  • Access Fee: ₦5,000 ($14)
  • Chapters: 5 Chapters
  • Pages: 65 Pages
  • Methodology: Statistical Analysis
  • Reference: YES
  • Format: Microsoft Word
  • Views: 2.3K
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CHAPTER ONE

  1. INTRODUCTION

Nigerians are confronted with an environment that is rapidly changing and the time spent on non-academic activities has negatively impacted academic performance. This survey investigates the contribution of time spent on the internet by students to academic achievement. The performance of students’ overtime has witnessed a constant depreciation. Many scholars see this as a direct consequence of governments neglect on education; some others say the students should share a large part of the blame. There is no doubt that spending time on the internet helps to improve ones intelligent quotient and ultimately make one conversant with happenings around him/her but doing this to the detriment of one’s studies has done more harm than good in our society. Ezeife 2008 opined that for students to be able to do academically well, they have spent little or no time on the internet. But doing this according to oluwatobi 2013 could as well be detrimental to students’ academic performance. it is no longer news that Nigerian students have so taken to the internet that do spend little or no time in their studies and these have to the decline of education in Nigeria.  In sum, this study may help to develop a conceptual framework for guiding efforts to improve academic performance, as it relates to time used on the internet.  

A REGRESSION ANALYSIS ON THE HOURS SPENT ON THE INTERNET AND TIME SPENT TO STUDY ON ACADEMIC PERFORMANCE OF STUDENTS
For more Info, call us on
+234 8130 686 500
or
+234 8093 423 853

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  • Type: Project
  • Department: Statistic
  • Project ID: STS0048
  • Access Fee: ₦5,000 ($14)
  • Chapters: 5 Chapters
  • Pages: 65 Pages
  • Methodology: Statistical Analysis
  • Reference: YES
  • Format: Microsoft Word
  • Views: 2.3K

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