Design and implementation of a dynamic educational content viewer with big data analytics functionality

Abstract

The use of smart mobile devices has grown considerably in recent years. A large variety of digital content has entered the market and, in particular, there has been rapid growth in sales of electronic books (e-books). Consequently, demand for more diverse digital content has increased greatly as has the demand, in particular, for smart digital content for educational purposes, including digital textbooks. This demand has been accelerated through the implementation of an educational environment termed ‘Smart Education’ in Korea. Digital content and digital textbooks can be displayed on smart devices using a content viewer application or an e-book reader. However, existing content viewers only support a limited range of features, most of which are platform-dependent. In addition, most content viewers do not support features that deliver analysis of big data. To address these shortcomings, here we propose a dynamic educational content viewer, which can implement big data analytics and supports multiple device platforms and a wide range of content types.