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Reseach Article

Mobile Exam Management System using LSA Algorithm

by Seror Mohammed Jawad, Karim Q. Hussein
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 148 - Number 9
Year of Publication: 2016
Authors: Seror Mohammed Jawad, Karim Q. Hussein
10.5120/ijca2016911322

Seror Mohammed Jawad, Karim Q. Hussein . Mobile Exam Management System using LSA Algorithm. International Journal of Computer Applications. 148, 9 ( Aug 2016), 35-38. DOI=10.5120/ijca2016911322

@article{ 10.5120/ijca2016911322,
author = { Seror Mohammed Jawad, Karim Q. Hussein },
title = { Mobile Exam Management System using LSA Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2016 },
volume = { 148 },
number = { 9 },
month = { Aug },
year = { 2016 },
issn = { 0975-8887 },
pages = { 35-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume148/number9/25788-2016911322/ },
doi = { 10.5120/ijca2016911322 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:52:56.102722+05:30
%A Seror Mohammed Jawad
%A Karim Q. Hussein
%T Mobile Exam Management System using LSA Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 148
%N 9
%P 35-38
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The rapid spread of 3G wireless network and wireless technologies, are applied in many areas, the education is the interesting approach for using this technique, so the benefit of modern technology can be used in mobile learning. This system is focused on design mobile learning management system which simulates the learning process between teacher and student, by build an educational system that the student can get educational material and procedure MCQ test, open question and analyze student answers and evaluated automatically using modern techniques. Latent semantic analysis (LSA) has been employed in intelligent learning systems for evaluation students’ learning by evaluating their answers to questions in the tutoring domain. Latent Semantic Analysis (LSA) is an attempt to solve the problem of Automatically scoring open questions..

References
  1. Helen Farley and Angela Murphy "Developing a framework for evaluating the impact and sustainability of mobile learning initiatives in higher education" Australian Digital Futures Institute, University of Southern Queensland, Toowoomba, Australia, 2012.
  2. "Mobile Learning Basics" available at http://www.Mobl21.com
  3. Jacqueline Bichsel, "The State of E-Learning in Higher Education: An Eye toward Growth and Increased Access" EDUCAUSE Center for Analysis and Research, 2013.
  4. Romana Martin "M-learning and student engagement: Factors that support students’ engagement in m-learning" Ph.D. thesis, Murdoch University, Australia, 2011.
  5. Razieh Niazi and Qusay H. Mahmoud, "Design and Development of a Device Independent System for Mobile Learning ", the 3rd conference on Mobile and Computer Aided Learning , IMCL2008n , 16-18 April , Amman , Jordan.
  6. L.E. Dyson, R. Raban, A. Litchfield and E. Lawrence, " Embedding Mobile Learning into Mainstream Educational Practice: Overcoming the Cost Barrier", the 3rd conference on Mobile and Computer Aided Learning , IMCL2008n , 16-18 April , Amman , Jordan.
  7. Karim Q. Hussein , Maha A. Al-Bayati, “Mobile Learning: The Effective Role of Multimedia "Analytical Approach via an Object Oriented Strategy”, International Journal of Computer Applications (0975 – 8887), New York , U.S.A, Volume 90 – No 8, March 2014
Index Terms

Computer Science
Information Sciences

Keywords

Mobile learning Latent Semantic Analysis LSA automatically scoring.