Introduction to Use and Analysis of Big Data in E-Learning

Introduction to Use and Analysis of Big Data in E-Learning

Renuka Mahajan (Jaipuria Institute of Management, India)
Copyright: © 2019 |Pages: 13
DOI: 10.4018/978-1-5225-5915-3.ch004

Abstract

In today's world everything is connected and is either consuming data or generating data. The world is changing so fast that even one-year-old data may not be useful, and hence, big data analysis plays a very vital role for higher management of any organizations for decision making. Data warehousing helps in gathering and storing verifiable information into a single entity. Data can be of different types like speech, text, etc. It can be structured or unstructured. Each data point is characterized in terms of volume or variety. This chapter gives an overview of how to utilize the learner interaction data from a particular website and how patterns can be captured by analyzing learner interaction data with big data analytic tools. Big data has risen in the field of education and has many challenges like storage, combining, analysis, and scalability of big data. It covers tools and techniques that can be used. The results from this study will have implications for new learners to the e-learning website, website designers, and academicians.
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The Background Of The Study

The work done in this chapter is a synthesis of many research areas like big data mining, personalization, recommendation systems and adaptive e-Learning systems.

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