Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol 11, Issue 08, August 2024

Call for Paper

Vol 11, Issue 08, August 2024

Indexing

A Cloud-based Framework for Personalized Mobile Learning Content Management System (LCMS)

Author : Mieyappan. D 1 J M Gnanasekar 2

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Date of Publication :9th January 2019

Abstract: Mobile learning content the proliferation of Internet-capable mobile handheld devices and the availability of wireless broadband networks, mobile learning is increasingly adopted to deliver learning content anywhere and anytime to mobile users. Offering compelling mobile learning solutions faces several challenges. These challenges are mainly the adaptation of the learning material to the profile and preferences of the mobile user and the support of multiple devices. Other concerns include the storage, retrieval, and processing of learning content outside of mobile devices. Furthermore, building rich learning management systems requires the integration of learning content from third party providers. This paper describes our proposed cloud-based framework for delivering adaptive mobile learning services. The paper explains the benefits and requirements of cloud-based solutions for educational organizations and describes the components of the proposed framework together with the process of integrating learning objects imported from third-party providers with in-house learning objects of the educational organization

Reference :

    1. M. Shobanarani et al, ―AN ANALYSIS AND SURVEY OF MOBILE LEARNING SYSTEMS‖ International Journal of Computer Science and Mobile Computing, Vol.3 Issue.11, November- 2014, pg. 116- 121.
    2. Badidi, E. (2016). ―A Cloud-based Framework for Personalized Mobile Learning Provisioning using Learning Objects Metadata Adaptation‖ In Proceedings of the 8th International Conference on Computer Supported Education - Volume 1, pages 368-375.
    3. Sönmez, A.; Göçmez, L.; Uygun, D. & Ataizi, M. (2018). A Review Of Current Studies of Mobile Learning. Journal of Educational Technology & Online Learning, 1(1), 13-27.
    4. Brusilovsky, P. (2003). Adaptive navigation support in educational hypermedia: The role of learner knowledge level and the case for meta-adaptation, British Journal of Educational Technology, 34(4), pages 487–497.
    5. Cavus, N. and Ibrahim D. (2009). M-Learning: an experiment in using SMS to support learning new English language words, British Journal of Educational Technology, 40(1), pages 78-91.
    6. Khalil Alsaadat (2017). ―Mobile Learning Technologies‖ International Journal of Electrical and Computer Engineering (IJECE) Vol. 7, No. 5, October 2017, pp. 2833~2837
    7. Agah Tugrul Korucu a*, Ayse Alkan b (2011). ―Differences between m-learning (mobile learning) and e-learning, basic terminology and usage of m-learning in education‖ Procedia Social and Behavioral Sciences 15 (2011) 1925–1930.
    8. bdel-Hameed A. Badawy (2012). ―Students‘ Perceptions of the Effectiveness of Discussion Boards‖(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 3, No. 9, 201
    9. Chung, T. S., Rust, R. T., and Wedel, M. (2008). My Mobile Music: An Adaptive Personalization System for Digital Audio Players, Marketing science, 28(1), pages 52–68.
    10. Crompton, H. (2013). A historical overview of mobile learning: Toward learner-centered education, In Z.L. Berge & L. Y. Muilenburg (Eds.), Handbook of mobile learning, pages 3–14, Florence, KY: Routledge
    11. Davies, B. S., Rafique, J., Vincent, T. R., Fairclough, J., Packer, M. H., Vincent, R., and Haq, I. (2012). Mobile Medical Education (MoMEd) - how mobile information resources contribute to learning for undergraduate clinical students - a mixed methods study, BMC Med Educ, 12(1), pages 1.
    12. De Bra, P. and Ruiter, J. P. (2001). AHA! Adaptive Hypermedia for All, In Proc. of WebNet—World Conference on the WWW and Internet, Association for the Advancement of Computing in Education, pages 262–268.
    13. Economides, A. (2006). Adaptive Mobile Learning, Fourth IEEE International Workshop on Wireless, Mobile and Ubiquitous Technology in Education, WMUTE '06, pages 26–28.
    14. Fang, H., Liu, J., Huang, R., and Li, Y. (2009). Research on adaptive mobile learning resources platform based on learning object model, the Int. Conference on Application of Information and Communication Technologies, AICT 2009, pages 1–6.
    15. Gipple, J. and Lord, E. (2016). Understanding Mobile Learning and Best Practices, ICS Learning Group. http://www.icslearninggroup.com/whitepapers/underst anding-mobile-learning-and-best-practices/.
    16. Heinrich, P. (2012). THE IPAD AS A TOOL FOR EDUCATION, A study of the introduction of iPads at Longfield Academy, Kent. http://www.emergingedtec h.com/2012/07/study-finds-benefits-in-use-of-ipad-aseducational-tool/
    17. Huang, J.J.S., Yang, S.J.H., Chen, Z.S.C., Wu, F.C.C. (2012). Web content adaptation for mobile device: A fuzzy-based approach, Knowledge Management & ELearning: An International Journal, 4(1), pages 102– 122.
    18. IEEE. (2002). IEEE Standard for Learning Object Metadata, IEEE Std 1484.12.1-2002, pages i-32, doi: 10.1109/IEEESTD.2002.94128
    19. Masud, M. A. H. and Huang, X. (2013). M-learning Architecture for Cloud-based Higher Education System of Bangladesh, Mobile Computing, 2(4), pages 84–94
    20. MERLOT. (2016). Multimedia Educational Resource for Learning and Online Teaching. http://www.merlot.org.
    21. Oh, J., Herrera, J., Bryan, N. J., Dahl, L., and Wang, G. (2010). Evolving the mobile phone orchestra, In Proc. of the Int. Conf. on New Interfaces for Musical Expression, pages 82–87.
    22. Pimmer, C. and Gröhbiel, U. (2008). Mobile Learning in corporate settings. Results from an Expert Survey, mLearn2008, The Bridge from Text to Context.
    23. Tennyson, R. D. and Christenson, D. L. (1988). MAIS: an intelligent learning system, In D. H. Jonassen (Eds.), Instructional Designs for microcomputer courseware. Hillsdale: N. J.: Erlbaum..

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