Designing Mobile Learning Smart Education System Architecture for Big Data Management Using Fog Computing Technology

Designing Mobile Learning Smart Education System Architecture for Big Data Management Using Fog Computing Technology

Muhammad Adnan Kaim Khani, Abdullah Ayub Khan, Allah Bachayo Brohi, Zaffar Ahmed Shaikh
DOI: 10.4018/IJISTA.306653
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Abstract

The mobile learning system will not only bring the attention of students towards education but also higher results can be achieved. One of the motives of the research is to involve the students in their academic assignment by using a system that lets the students work on the assignment with interest. Moreover, better results from students are expected after implementing the mobile learning system. Manual work will be given to students before the mobile learning system to get the attention of students and then work on the mobile learning system will be assigned. The difference between both traditional and computerization mobile learning systems will be analyzed by surveying students. The traditional cloud computing structure is physically centralized.
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1. Introduction

Today, technology is directly or indirectly connected in every sphere of life, it is the backbone of every institution like banking, business, entertainment, weather forecasting, clarity, government organizations, etc. Similarly, information and communication technology has also benefited the education sector. The academic performance of students, as well as teachers, have increased dramatically since the past decade. Teachers and students can work on the same platform on the internet. Students can use many educational materials from distance (Schöbel & Söllner, 2016). Technology is not limited here because it plays its part by implementing computerized systems. Failure in student attention for education or a major reason for the lake is the lake of interest. True, mobile learning design is not following one size because each course is unique, and every design process requires accountability. Mobile technologies are more widely available at reasonable prices and use IoT in fog computing environments without infrastructure problems that run computing in front and distribute computing architecture network edges for education. Design of fog (Sarkar et al., 2018), he said of the algorithms proposed for work determination that are proposed only to provide space awareness, reduce delays as well as deal with large data. Because there is a significant problem with suggesting large amounts of data.

1.1 Mobile Learning System

Mobile learning system is a term that uses the app to complete tasks such as gameplay and level completion. The application interests’ students as work can be completed like playing games. The students will be assigned the deadline to complete the work. The status of students will be created after the completion of the work. Higher assignments will increase the ranking of students (Alhumaid, 2021). A mobile learning system will be very useful for students. The mobile learning system provides the graphical user interface for interaction with computers or Mobile devices.

1.2 Use of Mobile Learning Systems

Mobile learning systems are commonly used. Mobile learning systems can be used to keep student records in major organizations. In addition, the system is also used to encourage students to study time and bring entertainment into work. There are many tasks to implement, some of them are very easy to implement and plan, to write coding or technical expertise. Anyone can use an enterprise mobile learning system.

1.3 Mobile Learning System Architecture

Mobile Learning System works as the architecture shown in Figure 1 (A., 2015).

Figure 1.

Mobile learning system architecture (A., 2015)

IJISTA.306653.f01

The above architecture deals with a mobile learning system engine database management system that can store the scores of each student. Knowledge Base Management System is related to mobile learning system engine to verify the work of students.

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