Educational Content Delivery utilizing Opportunistic Networking over Mobile Devices

Author(s):  
Thimira Amaratunga ◽  
D. N. Ranasinghe
Author(s):  
Victoria Ribeiro Rodrigues ◽  
Raquel Barreto ◽  
André Felipe de A. Monteiro

In most educational environments, the process of communication with students is performed on ad hoc basis, with lowstandardization and few interaction. However, a more dynamic communication is demanded by the young profile of most students. In this way, mobile devices are an efficient and flexible channel to reach this public. In this scenario, we present a context-aware platform to provide the distribution of educational content using a sensitive model context based on the users location. Thus, the platform can satisfy the specific demands informed by the user, and also respond to the current context, delivering personalized content according to the users location. Moreover, this is a multidisciplinary project, involving students in the role of users and also as collaborators for modeling, development and testing of the platform.


Author(s):  
Andreea Molnar ◽  
Cristina Hava Muntean

Today, mobile devices have become an integral part of their possessor’s life. Learning using mobile devices has the advantage of receiving educational content at the moment when it is actually needed, or when the learner feels like s/he is able to study. Moreover, mobile devices used in education can augment the learning experience by delivering further information to the learner, depending on the learner’s context. However, there are still challenges to overcome in order to achieve a widespread adoption of mobile learning. One of these is the high cost of delivering educational content over wireless networks, especially when multimedia content is transmitted. This research proposes a solution that predicts the learner’s economic behaviour and takes it into account when delivering educational multimedia content. A mechanism for reducing the cost of the educational content delivery over wireless networks is also presented.


Author(s):  
Robert Schmohl ◽  
Uwe Baumgarten ◽  
Lars Köthner

Recent advances in mobile computing have spawned a very heterogeneous environment of mobile devices, which is reflected by the presence of the devices’ different capabilities. This chapter focuses on handling this device heterogeneity in the context of content adaptation of mobile services so that generic content can be provided to any device in the heterogeneity spectrum. We present an approach that enables mobile services to adapt its content provision to a mobile device by considering the device’s content provision capabilities. Those capabilities encompass both the communication channels for content delivery and the capabilities to present content to the user. Our approach is designed as a service platform that implements a content adaptation procedure for Web-based mobile services by utilizing device capability databases and generic page transformation. This approach enables mobile devices to visualize any generic content device specifically on their integrated browsers.


Author(s):  
Boris Vilic

Mobile learning or “m-learning” is a relatively new learning modality in higher education and it refers to the delivery of educational content by means of mobile devices, such as PDAs, cell phones, and MP3 players, effectively enabling learners to access course materials anytime, anywhere, and any while (Walker, 2006). M-learning is also characterized as “personalized” … “bite-sized”, and “portable”, characteristics not often associated with “conventional tethered e-Learning” (Traxler, 2007).


Author(s):  
Koralia Papadokostaki ◽  
Spyros Panagiotakis ◽  
Athanasios Malamos ◽  
Kostas Vassilakis

Teaching is always affected by the advent of technology. Nowadays, mobile devices can offer an air of innovation in classrooms and multiple benefits in learning. On the other hand, IoT is expanding rapidly and promises to provide education with new dynamics: sensors and beacons may contribute to pervasive provision of educational content to students, whereas wearables can track the students' interaction with educational objects. As a result, learning is changing and may happen anywhere, anytime, and with any means. This evolution, described under the term Ubiquitous learning, promises to be the future of education for all ages and needs. This chapter presents the transformation of learning from traditional to e-learning, mobile learning, and Ubiquitous learning, and discusses the features and applications of the latter. Furthermore, authors describe the Experience API specification and investigate how it can be used to implement adaptive learning applications and make Ubiquitous learning a reality not only in typical but also in Early Childhood learning.


2013 ◽  
Vol 9 (4) ◽  
pp. 331-345
Author(s):  
Jianwei Niu ◽  
Mingzhu Liu ◽  
Han-Chieh Chao

With the proliferation of high-end mobile devices that feature wireless interfaces, many promising applications are enabled in opportunistic networks. In contrary to traditional networks, opportunistic networks utilize the mobility of nodes to relay messages in a store-carry-forward paradigm. Thus, the relay process in opportunistic networks faces several practical challenges in terms of delay and delivery rate. In this paper, we propose a novel P2P Query algorithm, namely Betweenness Centrality Forwarding (PQBCF), for opportunistic networking. PQBCF adopts a forwarding metric called Betweenness Centrality (BC), which is borrowed from social network, to quantify the active degree of nodes in the networks. In PQBCF, nodes with a higher BC are preferable to serve as relays, leading to higher query success rate and lower query delay. A comparison with the state-of-the-art algorithms reveals that PQBCF can provide better performance on both the query success Ratio and query delay, and approaches the performance of Epidemic Routing (ER) with much less resource consumption.


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