Big Data for Smart Education

Abstract

Advanced technologies are allowing students to cram more information more effectively and in a versatile manner rather than contentedly. Learners use smart devices to access digital resources over wireless networks, then customize the seamless learning experience. Smart education, which includes learning on a digital platform, is becoming more popular. This chapter introduces smart education and provides logical foundations for it. The system of smart pedagogies, as well as a key feature of the smart learning environment, is designed for adoptive smart learners who need mastery of information and skills in 21st-century learning. A smart pedagogics system integrates simple personalized learning and mass procreative learning, as well as class-based discriminated guidance. SES (smart education system) is a step forward from existing educational information systems, and it is powered by cloud computing, Internet of things (IoT), and mobile internet. It also relies on a pervasive network environment and needs a cloud computing data center as well as a multidimensional IoT-sensing device. SES is based on—and challenged by—the implementation of Big Data (BD). This chapter will look into the implementation of BD in SES, recommending the transformation of universities’ knowledge portals into services portals. There are number of opportunities and challenges associated with the implementation of a higher education. In recent years, there has been an increase in the customization of learning management system (LMS) within the educational system. Smartphones are now being used by students to access online content. As a result, when opposed to conventional learning, online practices will result in a massive reduction in the amount of unexploited data waste. Processing is not something that analytics is capable of. BD innovations and resources are disseminated in the educational system. As a result, current implementations of BD technologies in the field of education, as well as a summary of the literature on educational learning analytics, are presented here. In addition, the technical architecture of a SES will be proposed, emphasizing the importance of smart computing. The tri-tier design and core roles are already in place, and smart education issues will be addressed at the end. This chapter concludes by laying out upcoming recommendations for developing and implementing a BD-related institutional project.