Journal Article Blind Review

IMPACT OF SOCIAL MEDIA ON ELEARNING THROUGH INFERENTIAL STATISTICS

Abstract

With the increased development in technology, there have been different approaches or aspects that people are adopting. One of the areas that have been largely affected by technological development is eLearning, which means that many students and teachers have adopted it. Social media is one of the ways that students are using to embrace the aspect of online learning, which has been of great impact (Elkaseh, 2016). To define the extent to which social media has influenced learning will require a quantitative analysis whereby the different aspects will be analyzed. Inferential statistics will therefore be crucial in the process, which will help define the extent to which social media affects online learning programs (Salloum, 2016).

Key words; eLearning, Social media, online learning, inferential statistics

Introduction

In the world we are living in, everyone is concerned with how best they can make life easy. Technology has been at the forefront of making all aspects of life easy, including education. With an increased number of social media sites, the education system has changed. Research shows that most youths use social media occasionally. Here is a graph that compares the use of different social media platforms in the world (“Global social media research summary 2019,” 2019)

https://www.smartinsights.com/wp-content/uploads/2016/05/Social-media-network-popularity-2018-700×540.png

However, some social media platforms are used more frequently than others. According to (“Global social media research summary 2019” (2019), Facebook is the most commonly used social media platform hence would play a great role if used on e-learning. The graph below shows the comparison of the use of different social media platforms (“Global social media research summary 2019,” 2019).

Facebook dominates social landscape

There is a need to define to what extent people prefer such methods to the traditional ways (Hong, 2016). Data is a crucial aspect in this process and will help define the popularity of social media in eLearning. Inferential statistics ensures there is a clear understanding of how many people prefer social media platforms and therefore its popularity.

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