Volume 12 Number 5 (Sep. 2017)
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JCP 2017 Vol.12(5): 423-432 ISSN: 1796-203X
doi: 10.17706/jcp.12.5.423-432

A Five Views Framework for Evaluating Learning Service Selection in Context-Aware Ubiquitous Learning Systems

Ines Bayoudh Saadi, Nesrine Ben Salah
Department of Computer Science, National Higher Engineering School of Tunis, Tunis University, Tunisia.
Abstract—Studies on the learning service selection approaches have been the subject of many researches in recent years. The works identified in the literature are developed to solve the learning service selection problem; however, these works need to have a clear view and an overview of how systems intended select services. This study details a multidimensional descriptive view of learning service selection approaches in context-aware ubiquitous learning systems through five different views. Each view captures a particular aspect of the service selection process. Then a set of facets associated with each particular aspect in order to study, understand and describe it appropriately. This work would be helpful for context-aware u-learning system developers in order to have a clear understanding of service selection process in such systems and highlight the guidelines to be applied and the means used to satisfy the needs and the requirements of the learner and the application.

Index Terms—Context-aware ubiquitous learning systems, learning service selection, uncertainty management, QoS, QoC.

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Cite: Ines Bayoudh Saadi, Nesrine Ben Salah, "A Five Views Framework for Evaluating Learning Service Selection in Context-Aware Ubiquitous Learning Systems," Journal of Computers vol. 12, no. 5, pp. 423-432, 2017.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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