NORMA eResearch @NCI Library

DQAMLearn: Device and QoE-Aware Adaptive Multimedia Mobile Learning Framework

Moldovan, Arghir-Nicolae and Muntean, Cristina Hava (2021) DQAMLearn: Device and QoE-Aware Adaptive Multimedia Mobile Learning Framework. IEEE Transactions on Broadcasting, 67 (1). pp. 185-200. ISSN 1557-9611

Full text not available from this repository.
Official URL:


With the proliferation of mobile devices and online video services, mobile learning has grown both in popularity and complexity. New challenges include the multitude of mobile devices with different characteristics and limitations, as well as the exponential growth in educational multimedia content. Streaming multimedia content to mobile devices is a resource intensive task that requires significant resources such as network bandwidth, with demand expected to increase beyond future networks capacity as users adopt new technologies such as UHD, AR, VR, 3D and 360-degree video. While a number of adaptive m-learning systems have been previously proposed, none of these have thoroughly addressed the adaptation of educational multimedia content. This article proposes the novel DQAMLearn framework that aims to support mobile learner's seamless access to educational multimedia content from a variety of mobile devices with different characteristics. Moreover, as mobile users are increasingly becoming quality-aware, the framework integrates novel mechanisms for decreasing the video quality in a controlled way, with the aim to support a good learner quality of experience (QoE) even in resource constrained situations. A comprehensive subjective study was conducted to evaluate the proposed framework. The results showed that the framework enables both high learning achievement from educational multimedia clips, with 12% and 83% correct response rates for pre and post-test questionnaires, respectively, and high learner QoE with a mean video quality rating of 79.19 on a 0-100 acceptability scale.

Item Type: Article
Uncontrolled Keywords: Adaptive multimedia; personalised e-learning systems; mobile learning; quality of experience; video quality assessment; learning assessment
Subjects: L Education > LC Special aspects / Types of education > E-Learning
L Education > LC Special aspects / Types of education > E-Learning > M-Learning (Mobile Learning)
L Education > LC Special aspects / Types of education > Distance Learning > M-Learning (Mobile Learning)
Q Science > QA Mathematics > Multimedia Systems
Divisions: School of Computing > Staff Research and Publications
Depositing User: Clara Chan
Date Deposited: 08 Sep 2021 17:39
Last Modified: 08 Sep 2021 17:39

Actions (login required)

View Item View Item