Abstract

Integration of mobile devices in the m-learning systems provides the learner with scaffolding outside the classroom, it allows them to easily store, record and deliver multimedia content in real-time. The process of delivering multimedia learning objects (rich text, video, images, audio, animation, etc.) from the mlearning systems to the users requires more computational resources than mobile devices can provide. Considering the existence of different kinds of mobile browsers, which have limited support for HTML plugins (Flash, Java and Silverlight), we face the challenge to deliver the adapted multimedia contents in the interactive m-learning system. Installation of add-ons to the mobile browsers is just a provisional solution that is not always possible on each mobile device. Generally, the m-learning systems presented on the mobile device that not provide rich multimedia information leads to a degraded learning experience. In order to provide users with multimedia content that is suitable for their mobile devices and according to their needs we introduce the mobile cloud computing environment as paradigm that is ideal to overcome these problems. The proposed interactive mCloud system should provide high scale collaboration and interaction between the professor and students, in direction of increasing the quality of learning. The main focus is the delivery of multimedia learning objects to the users depending on the student’s cognitive style and adapting the content in accordance with the context-aware network conditions. The main task within this paper is to design a QoE model for estimating the multidimensional metric based on multimedia content adaptive features.

Highlights

  • Throughout the traditional learning, educational process takes place in classroom, where professors and students are meeting face to face at the same time and in the same place

  • We have proposed conceptual Quality of Experience (QoE) model for multimedia mCloud learning environment that uses the benefits of the cloud computing technology to deliver the learning materials

  • We can conclude form formula (5) that the QoE is multidimensional construct depending from 4 different characteristics: User Interaction (UI), Quality of Perception (QoP), Quality of Feedback (QoF) and Quality of Service (QoS)

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Summary

INTRODUCTION

Throughout the traditional learning, educational process takes place in classroom, where professors and students are meeting face to face at the same time and in the same place. Mobile devices in order to provide these advantages are facing certain limitation, such as computational capacity and limited battery power, in the process of delivering secure multimedia based services to the learners. Existing m-learning environments still experience diverse technological and Quality of Service (QoS) problems in the process of delivering different kind of multimedia materials; adaptation of the learning material to individual student needs. Another important challenge is the real-time interaction between student and the environment that is difficult to achieve because of the context-aware bandwidth limitations. We have proposed conceptual QoE model for multimedia mCloud learning environment that uses the benefits of the cloud computing technology to deliver the learning materials.

CONCEPTUAL QOE MODEL FOR MULTIMEDIA LEARNING IN CLOUD
QOE AS MULTIDIMENSIONAL QUALITY METRICS
EXPERIENCED QUALITY EVALUATION
CONCLUSIONS
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