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Mathematical Model of M-Learning Application for Android based Mobile Devices using Web Services

Published on March 2012 by Kainjan Kotecha, Deepika Jain, Aakash Chhajed, Priya Tatiya, Mahavir Shah, Mahesh Sanghavi
journal_cover_thumbnail

International Conference in Computational Intelligence
Foundation of Computer Science USA
ICCIA - Number 7
March 2012
Authors: Kainjan Kotecha, Deepika Jain, Aakash Chhajed, Priya Tatiya, Mahavir Shah, Mahesh Sanghavi
a7d8b0bb-31ad-439d-91a3-7a8f4d644978

Kainjan Kotecha, Deepika Jain, Aakash Chhajed, Priya Tatiya, Mahavir Shah, Mahesh Sanghavi . Mathematical Model of M-Learning Application for Android based Mobile Devices using Web Services. International Conference in Computational Intelligence. ICCIA, 7 (March 2012), 7-10.

@article{
author = { Kainjan Kotecha, Deepika Jain, Aakash Chhajed, Priya Tatiya, Mahavir Shah, Mahesh Sanghavi },
title = { Mathematical Model of M-Learning Application for Android based Mobile Devices using Web Services },
journal = { International Conference in Computational Intelligence },
issue_date = { March 2012 },
volume = { ICCIA },
number = { 7 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 7-10 },
numpages = 4,
url = { /proceedings/iccia/number7/5143-1055/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference in Computational Intelligence
%A Kainjan Kotecha
%A Deepika Jain
%A Aakash Chhajed
%A Priya Tatiya
%A Mahavir Shah
%A Mahesh Sanghavi
%T Mathematical Model of M-Learning Application for Android based Mobile Devices using Web Services
%J International Conference in Computational Intelligence
%@ 0975-8887
%V ICCIA
%N 7
%P 7-10
%D 2012
%I International Journal of Computer Applications
Abstract

Traditional E-Learning systems developed for laptop and desktop computers were based on individual software application or through websites and lack the ability to provide a complete ubiquitous learning environment. A ubiquitous learning environment based on early period mobile phones lack the handling power of laptops or desktop computers, low data transfer speeds and capacity. However, the capability to provide an entire ubiquitous learning environment on the 3G (3rd Generation) mobile device will offer powerful collaborative and interactive learning opportunities. Thus the main objective of the research work is to develop an interactive mathematical model of mobile learning application for Android base mobile devices using web services to facilitate the complete ubiquitous learning. This paper deals with the prototype development and mathematical representation of an M-Learning application for mobile phones running with Android platform using Web services.

References
  1. Shanmugapriya m, Dr Tamilarasi a "Designing an mlearning application for a ubiquitous learning environment", Indian Journal of Computer Science and Engineering ISSN 0976-5166 Volume: 2, Issue: Start page: 22; Date: 2011;
  2. Boja, C. L Batagan, (2009) “Analysis of M-Learning Applications Quality,” WSEAS TRANSACTIONS on COMPUTERS, Issue 4, Vol. 8, ISSN 1109-2750, pp. 767- 777.
  3. Alier, M., Casany, M., & Casado, P. (2007). “A Mobile extension to a web based Moodle virtual classroom”. In P.Cunningham & M. Cunningham (Ed.), Expanding the Knowledge Economy: Issues, Applications, Case Studies:Vol. 4 (pp. 1169-1176).
  4. Paul Pocatilu and Catalin Boja-“Quality characteristics and metrics related to m-learning process”, Bucharest Academy of Economic Studies, Romania.
  5. A.S Atkins, AK.H.N. Ali and Shah, “Extending Ebusiness application using mobile technology”, Proc of 3rd International Conference on Mobile Technology, Application and System
  6. C. C. Tsai, G. Lee, F.Raab, G. J. Norman, T. Sohn, W. G. Griwold and K. Patrick, Usability and Easibiliy of PmEB: “A mobile phone application for monitoring real time caloric balance” ,Mobile Network Application, Springer, 2007, vol.12, pp 173-184.
Index Terms

Computer Science
Information Sciences

Keywords

Ubiquitous Learning Environment web services Mobile learning Android OS 3G mobile