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

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.

[1]  James R. Foulds,et al.  A review of multi-instance learning assumptions , 2010, The Knowledge Engineering Review.

[2]  Stephen J. H. Yang,et al.  QoS-Based Learning Services Composition for Ubiquitous Learning , 2008, 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008).

[3]  Colette Rolland,et al.  A framework for generic patterns dedicated to the management of change in the electricity supply industry , 1998, Proceedings Ninth International Workshop on Database and Expert Systems Applications (Cat. No.98EX130).

[4]  M. Jarke,et al.  A PROPOSAL FOR A SCENARIO CLASSIFICATION FRAMEWORK 1 , 2001 .

[5]  Rubén Prieto-Díaz Implementing faceted classification for software reuse , 1991, CACM.

[6]  Gwo-Jen Hwang,et al.  Criteria, Strategies and Research Issues of Context-Aware Ubiquitous Learning , 2008, J. Educ. Technol. Soc..

[7]  Context-Aware Systems and Applications, and Nature of Computation and Communication , 2018, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

[8]  Mike Joy,et al.  A Self-Regulated Learning Approach: A Mobile Context-aware and Adaptive Learning Schedule (mCALS) Tool , 2008, Int. J. Interact. Mob. Technol..

[9]  R. Prieto-Diaz,et al.  Implementing faceted classification for software reuse , 1990, [1990] Proceedings. 12th International Conference on Software Engineering.

[10]  Juan Manuel Dodero,et al.  A Methodological Approach to Encourage the Service-Oriented Learning Systems Development , 2009, J. Educ. Technol. Soc..

[11]  Vangalur S. Alagar,et al.  Context-Aware Systems and Applications , 2014, Mob. Networks Appl..

[12]  Naoufel Kraiem,et al.  Towards a comprehensive view of web services QoS models , 2015, MUE 2015.

[13]  Viet Anh Nguyen,et al.  A Context - Aware Mobile Learning Adaptive System for Supporting Foreigner Learning English , 2010 .

[14]  Philippe Roose,et al.  Kalinahia. Modèle de qualité de service pour les applications multimédia reconfigurables , 2007, Ingénierie des Systèmes d Inf..

[15]  Hiroaki Ogata,et al.  Context-aware support for computer-supported ubiquitous learning , 2004, The 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education, 2004. Proceedings..

[16]  Zhang Xiong,et al.  Design and Case Study of WoBaLearn -- A Work-Based Learning System , 2014, 2014 IEEE 14th International Conference on Advanced Learning Technologies.

[17]  Gregor von Bochmann,et al.  Distributed Multimedia and QOS: A Survey , 1995, IEEE Multim..

[18]  E. Michael Maximilien,et al.  A framework and ontology for dynamic Web services selection , 2004, IEEE Internet Computing.

[19]  José Palazzo Moreira de Oliveira,et al.  A Semantic Approach for Learning Situation Detection , 2014, 2014 IEEE 28th International Conference on Advanced Information Networking and Applications.

[20]  Matthias Jarke,et al.  Requirements engineering in 2001: (virtually) managing a changing reality , 1994, Softw. Eng. J..

[21]  Axel Küpper,et al.  Quality of Context: What It Is And Why We Need It , 2004 .