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A New Architecture of Service Composition-Based Context-Aware Mobile Learning System

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Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) (AI2SD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1102))

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Abstract

During recent years, the use of mobile devices has been increased with the big evolution of wireless communications and technologies. In the field of education, mobile technologies can have a great influence on learning. Mobile learning (m-learning) is a new technology which enables learners to acquire learning materials anywhere and at any time using mobile and internet technologies. However, learner mobility implies a permanent change of context. So, the adoption of context-awareness in mobile learning has become a crucial topic in this area.

In this paper, we propose an architecture of m-learning system based on contextualization and service composition using the orchestration approach. This architecture will automatically and dynamically meet the needs of the user and provide him with appropriated learning resources according to the context changes. Thereby, we focus on the main subsystems of this architecture, and then we propose a scenario of electrotechnic lab using our proposed architecture.

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References

  1. Hashim, Y.E., Osman, A., El-Gelany, A.: Mobile technology and education. Theoretical study. Int. Res. J. Comput. Sci. (IRJCS), 3(02) (2016)

    Google Scholar 

  2. Traxler, J.: Current state of mobile learning. In: Ally, M. (ed.) Mobile Learning: Transforming the Delivery of Education and Training, pp. 9–24. Athabasca University Press, Edmonton (2009)

    Google Scholar 

  3. Kukulska-Hulme, A.: Practitioners as innovators: emergent practice in personal mobile teaching, learning, work, and leisure. In: Ally, M., (ed.) Mobile Learning: Transforming the Delivery of Education and Training, pp. 135–155. Athabasca University Press, Edmonton (2009)

    Google Scholar 

  4. Bassaeed, E., Berri, J., Zemerly, M.J., Benlamri, R.: Learner-centric context-aware mobile learning. IEEE Multidisc. Eng. Educ. Mag. 2(2) (2007)

    Google Scholar 

  5. Sampson, D.G., Zervas, P.: Context-aware adaptive and personalized mobile learning. In: 3rd International Conference for E-learning & Distance Education. Riyadh, Saudi Arabia, 03 Feb 2013

    Google Scholar 

  6. Wu, P.H., Hwang, G.J., Su, L.H., Huang, Y.M.: A context-aware mobile learning system for supporting cognitive apprenticeships in nursing skills training. Educ. Technol. Soc. 15(1), 223–236 (2012)

    Google Scholar 

  7. Uden, L.: Activity theory for designing mobile learning. Int. J. Mob. Learn. Organ. 1(1), 81–102 (2007)

    Article  Google Scholar 

  8. Hwang, G.J., Tsai, C.C., Yang, S.J.: Criteria, strategies and research issues of context-aware ubiquitous learning. J. Educ. Technol. Soc. 11(2), 81–91 (2008)

    Google Scholar 

  9. Schilit, B.N., Theimer, M.: Disseminating active map information to mobile hosts. Netw. IEEE 8(5), 22–32 (1994)

    Article  Google Scholar 

  10. Brown, P.J., Bovey, J.D., Chen, X.: Context-aware applica-tions: from the laboratory to the marketplace. Pers. Commun. IEEE 4(5), 58–64 (1997)

    Article  Google Scholar 

  11. Ryan, N.S., Pascoe, J., Morse, D.: Enhanced reality fieldwork: the context-aware archaeological assistant. In: Computer Applications in Archaeology. Tempus Reparatum (1988)

    Google Scholar 

  12. Brown, P.J.: The stick-e document: a framework for creating con-text-aware applications. Electron Publishing-Chichester 8, 259–272 (1996)

    Google Scholar 

  13. Franklin, D., Flaschbart, J.: All gadget and no representation makes jack a dull environment. In: Proceedings of the AAA 1998 Spring Symposium on Intelligent Environments, pp. 155–160 (1998)

    Google Scholar 

  14. Ward, A., Jones, A., Hopper, A.: A new location technique for the active office. Pers. Commun. IEEE 4(5), 42–47 (1997)

    Article  Google Scholar 

  15. Rodden, T., Cheverst, K., Davies, K., Dix, A.: Exploiting context in HCI design for mobile systems. In: Workshop on Human Computer Interaction with Mobile Devices, pp. 21–22 (1998)

    Google Scholar 

  16. Hull, R., Neaves, P., Bedford-Roberts, J.: Towards situated computing. In: Wearable Computers, Digest of Papers, First International Symposium, IEEE, pp. 146–153 (1997)

    Google Scholar 

  17. Abowd, G.D., Dey, A.K., Brown, P.J., Davies, N., Smith, M., Steggles, P.: Towards a better understanding of context and context-awareness. Handheld and Ubiquitous Computing, pp. 304–307. Springer, Berlin Heidelberg (1999)

    Chapter  Google Scholar 

  18. Ryan, N.: MCFE Metadata Elements-Version 0.2. Working Document

    Google Scholar 

  19. Fickas, S., Kortuem, G., Segall, Z.: Software organization for dynamic and adaptable wearable systems. In: Wearable Computer, Digest of Papers, First International Symposium, IEEE, pp. 56–63 (1997)

    Google Scholar 

  20. Brown, P.J.: Triggering information by context. Pers. Technol. 2(1), 18–27 (1998)

    Article  Google Scholar 

  21. Sampson, D.G., Zervas, P.: Context aware adaptive and personalized mobile learning. In: 3rd International Conference on E-Learning and Distance Learning, pp. 4–7 (2013)

    Google Scholar 

  22. Yau, J.K., Joy, M.S.: A self-regulated learning approach: a mobile context-aware and adaptive learning schedule (mCALS) tool. Int. J. Interact. Mob. Technol. 2(3), 52–57 (2008)

    Google Scholar 

  23. Nguyen, V.A., Pham, V.C., Ho, S.D.: A context-aware mobile learning adaptive system for supporting foreigner learning english. In: International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future, pp. 1–6 (2010)

    Google Scholar 

  24. Paredes, R.G., Ogata, H., Saito, N.A., Yin, C., Yno, Y., Oishi, Y., Ueda, T.: LOCH: supporting informal language learning outside the classroom with handhelds. Proceedings of IEEE International Workshop on Wireless and Mobile Technologies in Education, pp. 182–186 (2005)

    Google Scholar 

  25. Gómez, S., Zervas, P., Sampson, D.G., Fabregat, R.: Contextaware adaptive and personalized mobile learning delivery supported by UoLmP. J. King Saud University-Comput. Inf. Sci. 26(1), 47–61 (2013)

    Google Scholar 

  26. Pham-Nguyen, C., Garlatti, S.: Context-aware scenarios for pervasive long-life learning. In: Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, vol. 01, pp. 824–827. IEEE Computer Society (2008)

    Google Scholar 

  27. Hong, J.-Y., et al.: Context-aware systems: a literature review and classification. Expert Syst. Appl. 2008(36), 8509–8522 (2009)

    Article  Google Scholar 

  28. Daruwala, Y.: A Constructive Memory Architecture for Context Awareness. University of Sydney (2008)

    Google Scholar 

  29. Josuttis, N.M.: Soa in Practice: The Art of Distributed Systems Design. O’Reilly (2007)

    Google Scholar 

  30. Papazoglou, M.: Service-Oriented computing: concepts, characteristics and directions. In: Proceedings of the 4th International Conference on Web Information Systems Engineering (WISE’03), pp. 3–12. Rome, Italy (2003)

    Google Scholar 

  31. Papazoglou, M.P., Heuvel, W.-J.: Service oriented architectures: approaches, technologies and research issues. VLDB J. 16(3), 389–415 (2007)

    Article  Google Scholar 

  32. Josuttis, M.: SOA in Practice, p. 2007. The Art of Distributed System Design, O’Reilly (2007)

    Google Scholar 

  33. Martín, E., Carro, R.M., Rodríguez, P.: A mechanism to support context-based adaptation in m-learning. In: Lecture Notes in Computer Science, pp. 302–315 (2006)

    Google Scholar 

  34. Hu, B., Moore, P.: “SmartContext”: an ontology based context model for cooperative mobile learning. In: Shen, W., Luo, J., Lin, Z., Barthès, J.P.A., Hao, Q. (eds.) Computer Supported Cooperative Work in Design III. CSCWD 2006. Lecture Notes in Computer Science, vol. 4402. Springer, Berlin, Heidelberg (2007)

    Google Scholar 

  35. Gomez, S., Zervas, P., Sampson, D.G., Fabregat, R.: Delivering adaptive and context-aware educational scenarios via mobile devices. In: 2012 IEEE 12th International Conference on Advanced Learning Technologies (2012)

    Google Scholar 

  36. Peltz, C.: Web Services Orchestration and Choreography

    Google Scholar 

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Correspondence to Asmae Blilat .

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Blilat, A., Ibriz, A. (2020). A New Architecture of Service Composition-Based Context-Aware Mobile Learning System. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). AI2SD 2019. Advances in Intelligent Systems and Computing, vol 1102. Springer, Cham. https://doi.org/10.1007/978-3-030-36653-7_3

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