Smart E-learning content delivery system for ubiquitous devices, using Wi-Fi networks and smart board approach

International Journal of Computer Science (IJCS Journal) Published by SK Research Group of Companies (SKRGC) Scholarly Peer Reviewed Research Journals

Format: Volume 4, Issue 2, No 9, 2016

Copyright: All Rights Reserved ©2016

Year of Publication: 2016

Author: Kevin O. Gogo, Lawrence Nderu, Fredrick M. Muthengi

Reference:IJCS-156

View PDF Format

Abstract

Due to integration of ICT in educational and the evolution of E-learning, there has been a tremendous growth of big data in educational. These big data in education has left students with no precise relevant data with regard to their educational content requirements. Making students sometimes take a lot of time accessing non relevant data to their educational needs. This study therefore brings forward a system through which big educational data can be classified, and then documented students professional requirements are matched with their relevant educational requirements. Hence the developed system should be able to learn the students profession and then avail them only relevant data to their educational. The student profession details should be kept within their mobile (ubiquitous) devices that they use to access educational data. This will in turn make learning enjoyable and no time wastage accessing non relevant data with regard to your profession. The platform using Wi-Fi network, should also indicate the classroom/ point where the student is accessing the content from. In designing this model we used the standard system development life cycle. We designed a database web driven system which collects and stores students’ details. When a student logs into the system using their ubiquitous devices, the system collects collects some data from the students devices, and directs the student to the relevant educational requirements with regard to the collected data. The education data, and the students educational requirements were coded for easy matching. The prototype system resulted in 80% relevance during the searches.

References

[1] A. Angham, A. Sabagh, and A. Al-Yasiri, “GECAF: a framework for developing context-aware pervasive Systems”, Springer-Verlag Berlin, Heidelberg Computing Sci Res Dev vol. 30, pp. 87–103, 2013. [2] A. Aztiria, A. Izaguirre, and J. C. Augusto, “Learning patterns in ambient intelligence environments: a survey”, Springer Science and Business Media, Artificial Intelligence Rev 34:35–51, 2010. [3] A. Meyer, and D.H. Rose, “The future in the margins: The role of technology and disability in educational reform”. In D. Rose, A. Meyer and C. Hitchcock (Eds.), The universally designed classroom: Accessible curriculum and digital technologies (pp.13–35). Cambridge, MA: Harvard Education Press. 2005. [4] A. Williams and H. Pence, “Smart Phones, a Powerful Tool in the Chemistry Classroom”, Journal of chemical education, vol. 88 (6), pp 683–686, 2011. [5] B. J. Hervás, et al, “Towards the Everyday Computing in the Classroom through RFID in Computers and Education”, E-Learning From Theory to Practice, Springer pp 143-154, 2007. [6] C. Chen., et al, “Real-time Smartphone sensing and recommendations towards context-awareness shopping”, Springer-Verlag Berlin Heidelberg, Multimedia Systems vol. 21 pp. 61–72, 2013. [7] C. Chia-Chen, et al. “Real-time Smartphone sensing and recommendations towards context-awareness shopping”, Springer Verlag, 2015. [8] D. C. Niemeyer, “Hard Facts on Smart Classroom Design: Ideas, Guidelines, and Layouts”, Scarecrow press incorporation, 2003. [9] D. Cook, and S. K. Das, “How smart are our environments? An updated look at the state of the art” Pervasive and Mobile Computing, Vol. 3, Issue 2, pp. 53-73, 2012. [10] E.A MaryAnita, and V. Vasudevan, “Prevention of Black Hole Attack in Multicast Routing Protocols for Mobile Ad-Hoc Networks Using a Self-Organized Public Key Infrastructure”. Information Security Journal: A Global Perspective vol. 18(5), pp. 248–256, 2009. [11] H. Nakashima, H. Aghajan, and J. Augusto, “Handbook of Ambient Intelligence and Smart Environments”, Springer 2009. [12] K. Choi, and D. Lee, “A study on strengthening security awareness programs based on an RFID access control system for inside information leakage prevention”. Springer Verlag, 2013. [13] L. Cohen, L. Manion, and K. Morrison, Research methods in education (6th Ed.), London: Routledge Falmer. 2007 [14] M. Hossain, et al, “Developing and validating a model explaining the assimilation process of RFID: An empirical study”. Springer 2014. [15] P. Michiardi, and R. Molva, “Ad hoc networks security,” IEEE Press Wiley, New York, 2003. [16] S. Poslad, “Ubiquitous Computing: Smart Devices, Environments and Interactions” 1st ed. Wiley, 2009. [17] V. L. Uskov, J. Howlett and C. Jain, Smart Education and Smart E-Learning, Springer-Verlag, 2015. [18] Wikipedia (2015), smart boards. [Online]. Available: https://en.wikipedia.org/wiki/Smart_Board [19] Y. Dengpan et al “Mobile crowd-sensing context aware based fine-grained access control mode”, Multimedia tools application. Springer 2015. [20] Y. Zhiwen, Z. Xingshe and S. Lei, “Towards a semantic infrastructure for context-aware e-learning,” multimedia tools application. Springer vol. 21 pp. 61–72, 2010.


Keywords

Smart classroom, e-learning system, ubiquitous devices.

This work is licensed under a Creative Commons Attribution 3.0 Unported License.   

TOP
Facebook IconYouTube IconTwitter IconVisit Our Blog