Cost-effective mobile based learning content delivery in resources and network constrained environments

Author(s):  
Michael P.J. Mahenge ◽  
Joseph Mwangoka ◽  
Fatuma Simba

The advancement in Information and Communication Technologies (ICTs) has brought opportunities for the development of Smart Cities. The Smart City uses ICT to enhance performance and wellbeing, to reduce costs and resource consumption, and to engage more effectively and actively with its citizens. In particular, the education sector is adopting new ways of learning in Higher Education Institutions (HEIs) through e-learning systems. While these opportunities exist, e-learning content delivery and accessibility in third world countries like Tanzania is still a challenge due to resource and network constrained environments. The challenges include: high cost of bandwidth connection and usage; high dependency on the Internet; limited mobility and portability features; inaccessibility during the offline period and shortage of ICT facilities. In this paper, we investigate the use of mobile technology to sustainably support education and skills development particularly in developing countries. Specifically, we propose a Cost-effective Mobile Based Learning Content Delivery system for resource and network constrained environments. This system can be applied to cost-effectively broaden and support education in many cities around the world, which are approaching the 'Smart City' concept in their own way, even with less available technology infrastructure. Therefore, the proposed solution has the potential to reduce the cost of the bandwidth usage, and cut down the server workload and the Internet usage overhead by synchronizing learning contents from some remote server to a local database in the user’s device for offline use. It will also improve the quality of experience and participation of learners as well as facilitate mobility and portability in learning activities, which also supports the all-compassing learning experience in a Smart City.


Author(s):  
S. R. Mangalwede ◽  
D. H. Rao

The e-Learning refers to the use of networking technologies to create, foster, deliver and facilitate learning anytime, anywhere. This chapter discusses our research on personalization of e-Learning content based on the learner’s profile. After justifying the feasibility of using mobile agents in distributed computing systems for information retrieval, processing and mining, the authors deal with the relevance of mobile agents in e-Learning domain. The chapter discusses the proposed Case-Based Reasoning (CBR) as an approach to context-aware adaptive content delivery. Different parameters like technological, cultural and educational background of a learner are taken as the basis for forming the case-base that determines the type of content to be delivered. Along with the CBR, a diagnostic assessment to gauge an insight into the student’s current skills is done to determine the type of content to deliver. The implementation observations of such implementation vis-à-vis traditional e-Learning are also documented.


Author(s):  
Michael P.J. Mahenge

E-learning has received significant research attention over years in order to ensure reliability, availability and cost-effectiveness through Information and Communication Technologies (ICTs). The evolvement of mobile computing devices especially smartphones brings prospects in overcoming the inherent limitations of the Internet when accessing contents on web. Among the potential opportunity revealed includes the ability to work offline. Therefore, this study aims at analyzing the existing online and offline electronic-learning systems in order to explore the uniqueness, technical problems and opportunities in this field. Similarly, this study proposes synchronization and caching solution for cost-effective electronic-learning content delivery. The proposed approach synchronizes contents from the remote servers to local database in mobile computing devices for offline use. It therefore contributes to reliability, cost-effectiveness, timely and increase motivation in learning activities.


This chapter introduces the concept of educational efficiency and its calculating formula to describe the effect, cost, and duration of an educational system composing learners, teachers, and learning content and instructional approaches. Then the formula is used to compare the cost-effectiveness of the blended learning with CSIEC system and that of the traditional teaching and learning approach. Given the fact that the intelligence improvement with CSIEC system is greater than that with the traditional approach and the performance-price ratio of the latest computer and Internet access is increased much, the cost-effectiveness with CSIEC system is much greater than that with the traditional approach. International comparison shows that the effectiveness-cost ratio in the case of blended learning with CSIEC is higher, and the feasibility analysis suggests a cost-effective way to make full use of the investment in education to improve the students' learning performances.


Author(s):  
Michael Pendo John Mahenge ◽  
Andrew Charles Msungu

The recent development of ubiquitous technologies such as mobile computing facilities in developing countries promises a cost-effective approach for learning in higher learning institutions (HLIs). For instance, in Tanzania, new technologies in HLIs are being blended through eLearning and m-learning. However, HLIs are facing challenges in the delivery of eLearning contents due to the distributed nature of learning environments, the advancement of a large amount of data, shortage in ICT resources, and bandwidth. This study presents the state-of-the-art challenges and opportunities on eLearning in Tanzania. The survey results show that above 75% of students own multiple mobile devices that can support access to M-learning. Then, a cost-effective strategy for content delivery supported by mobile edge computing and cloud computing is proposed. Moreover, it is recommended that HLIs in developing countries should enact ICT policy that integrates issues associated with how to effectively utilize the emerging ubiquitous technologies applicable in their learning environments.


Electronics ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 50 ◽  
Author(s):  
Jing Hu ◽  
Yaling Lai ◽  
Ao Peng ◽  
Xuemin Hong ◽  
Jianghong Shi

Cost-effective delivery of massive data content is a pressing challenge facing modern mobile communication networks. In the literature, two primary approaches to tackle this challenge are service-tier differentiation and personalized proactive content caching. However, these two approaches have not been integrated and studied in a unified framework. This paper proposes an integrated proactive content delivery scheme that jointly exploits the availability of multiple service tiers and multi-user behavior prediction. Three optimal algorithms and one heuristic algorithm are introduced to solve the cost-minimization problems of multi-user proactive content delivery under different modelling assumptions. The performance of the proposed scheme is systematically investigated to reveal the impacts of proactive window size, service-tier price ratio, and traffic cost model on the system performance.


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