DOI: 10.4018/IJISTA.306653International Journal of Imaging and Sensing Technologies and Applications
Volume 1 • Issue 1 This article published as an Open Access article distributed under the terms of the Creative Commons Attribution License
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provided the author of the original work and original publication source are properly credited.*Corresponding Author
1Designing Mobile Learning Smart Education System Architecture for Big Data Management Using Fog Computing Technology
Muhammad Adnan Kaim Khani, Sindh Madressatul Islam University, Pakistan https://orcid.org/0000-0002-4144-8640
Abdullah Ayub Khan, Sindh Madressatul Islam University, Pakistan*
Allah Bachayo Brohi, Department Computer Science, Sindh Agriculture University, Pakistan
Zaffar Ahmed Shaikh, Benazir Bhutto Shaheed University Lyari, Karachi, Pakistan
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.
KEywoRDS
Big Data Management, Cloud Computing Network System , Design Mobile Learning Smart Education Architecture, Fog Computing System, Internet of Things, Mobile Learning System, Reduce Database System
1. INTRoDUCTIoN
Today, technology is directly or indirectly connected in every sphere of life, it is the backbone of every institution like banking, business, entertain ment, weather forecasting, clarity, government organizations, etc. Similarly, information and comm unication technology has also benefited the education sector. The academic performance of stude nts, 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 International Journal of Imaging and Sensing Technologies and Applications
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2learning 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 assignment s 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).
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.
1.4 Network Traffic Analyses
Microdata cantor in fog computing presents on-site strategies that can be up and down with faculty needs. For example, the capacity of this system can increase traffic due to students who have access to both after-school staff and MLMS (mobile learnin g management system). Mobile Learning System This application of a mobile learning system with support fog computing will not only be useful for students but will also be very fruitful for teachers as well as educational institutions. Teachers can Figure 1. Mobile learning system architecture (A., 2015) International Journal of Imaging and Sensing Technologies and Applications
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3check assignments and their ratings very easily. Educational institutions will benefit from this system as higher results will be achieved and finally, the ranking of educational institutions will be increa sed. Traditional assignments will be transferred to computerization very easily because computer usage is very easy and common nowadays. Mobile Learning System This application of a mobile learning system with support fog computing will not only be useful for students but will also be very fruitful for teachers as well as educational institutions. Teachers can check assignments and their ratings very easily. Educational institutions will benefit from this system as higher results will be achieved and finally, the ranking of educational institutions will be increased. Traditional assignments will be transferred to computerization very easily because computer usage is very easy and common nowadays.
1.5 Problem Statement
The traditional education and assignment system has reduced student interest towards completing assignments as maintaining concentration is very time-taking and difficult as students are feeling bored to complete this big task without any interest. The concept of a mobile learning system is being introduced in the existing research work to solve such a problem. Connections and network communications must be a top priority for working efficiently. However, these faculties can be an undertaking for many divided organizations, specifically faculties spread throughout one-of-a-kind campuses. The benefit of fog computer systems is that educated IT experts can manipulate duties from a distance. The most essential way to work is no longer solely due to the fact of the price of traveling these web sites however additionally the minimal downtime due to delayed response time due to journey (Parlakkılıç, 2019).
2. RELATED woRK
Students might also be mendacity digitally the usage of IoT (Predictive Quality and Yield Solution, n.d.). The responsive diagram technique needs to additionally think about the limitations concerned in all degrees of education graph and implementation. The alternate in schooling in the direction of computerization structures has improved rapidly. Designing for instructing and mastering in schooling has received recognition in the digital age. To produce responsive cellular getting to know machine content, it is necessary to maintain in thinking that e-learning content material desires to be redeveloped for responsive mobile learning. It is essential to increase goal customers and diagram techniques for profitable mobile studying initiatives. Users reply to getting to know diversely due to the fact of the nature of Mobile mastering and content. Since Sahara (who grew up in cutting-
edge technological times) is, Mobile getting to kno w environment, Mobile studying Developers want to assume about these technological know-how beginners when creating cell learning. Mobile mastering is typically time-honored in a casual way of the use of content material socially. So, many cell apps are supported through overall performance for on-demand content material and training (Gaved & Peasgood, 2017). Most Mobile getting to know guides are run on structures like Android or (IOS). This pastime can in no way be improved until the interest of college students is drawn to the entertainment-based schooling system to center of attention smartphones on pupil assignments. A request has been counseled for a sport recognized as a cell mastering machine (Sotirakou et al., 2016). Some sorts of lookup are cross-platforms i.e ., in charge however do no longer assist cell getti ng to know much. Thus, the improvement of responsive Mobile mastering is very vital (Adkins, n.d.). The web has affected faculties and has grown upto be a main implementer in the digital studying college system. But the use of the net of the matters (IoT) in training has many and has incredible implications. Internet devices are associated to altering many purposes in everyday lifestyles and training is on the agenda. So, mobile science, and (IoT) assist instructors’ diagram cellular tools that is available from any machine in fog computing (Mishra et al., 2020).
The Quality Experience (QoE) is referred to as consumer satisfaction, enjoyment, learning, and comparison level about offerings or products. Recently, the satisfactory of journey is used to enhance
