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Reseach Article

Interactive E-Learning and Exam System

by Priyank Dwivedi, Umang Mathur, Anuj Sharma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 129 - Number 3
Year of Publication: 2015
Authors: Priyank Dwivedi, Umang Mathur, Anuj Sharma
10.5120/ijca2015906777

Priyank Dwivedi, Umang Mathur, Anuj Sharma . Interactive E-Learning and Exam System. International Journal of Computer Applications. 129, 3 ( November 2015), 5-7. DOI=10.5120/ijca2015906777

@article{ 10.5120/ijca2015906777,
author = { Priyank Dwivedi, Umang Mathur, Anuj Sharma },
title = { Interactive E-Learning and Exam System },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 129 },
number = { 3 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 5-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume129/number3/23051-2015906777/ },
doi = { 10.5120/ijca2015906777 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:22:23.382760+05:30
%A Priyank Dwivedi
%A Umang Mathur
%A Anuj Sharma
%T Interactive E-Learning and Exam System
%J International Journal of Computer Applications
%@ 0975-8887
%V 129
%N 3
%P 5-7
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

E-Learning platforms are increasingly used in universities, colleges and companies seeking effective and continuous training of their employees without constraint of time and space. The effectiveness of such a learning system depends mainly on the degree of information assimilated by the learner at the end of training. In this project, the focus is on the implementation of a system for measuring competence for computer sciences. This system uses the model of item response theory. The results provided by this system are presented to the student, as a dashboard. They will allow the teacher or tutor to have the necessary elements to monitor their learning by identifying the causes blocking and checking its achievements. The emphasis of this project is to en-able the learner to understand and simultaneously implement the concepts that have been designed by the content author or teacher. It is primarily geared towards enabling students to use an interactive E-Learning system that uses an algorithm based approach to assess skill levels. This system can also help to improve the recruitment process of companies using it in the selection process of candidates for jobs.

References
  1. E. Shepherd et J. Godwin, “Les evaluations a travers Ie processus d'apprentissage”, Questionmark Computing Ltd, 2004.
  2. Sid Ahmed Benraouane, “Guide pratique du e-Iearning - Conception, strategie et pedagogie”, Dunod, 9 Mars 2011.
  3. W. Howard, “Computerized Adaptive Testing: A primer Second Edition”, Lawrence Erlbaum Associates, Inc. New Jersey 2000.
  4. K. AFDEL, M. MACHKOUR, A. MOUDDEN, “Collaborative E-Learning on ACOLAD”,
  5. 4eme International Conference on Information Technology based Higher Education ITHET 2003”, 7-9 July 2003.L. Laurencelle, S. Germain “Les estimateurs de capacite dans la theorie des responses aux items et
  6. leur biais”, Tutorials in Quantitative Methods for Psychology, 2011, Vol, 7(2), p. 42-53.
  7. Ronald K. Hambleton, “Fundamentals of Item Response Theory”, SAGE, 1991.
  8. Dirk Ifenthaler, Norbert M. Seel, Pablo Pirnary-Dummer, J. Michael Spector, “Understanding
  9. Models for Learning and Instruction”, Springer-Verlag New York Inc., fevrier 2008.Reye J, “Student Modelling based on belief networks”, International Journal of Artificial Intelligence in Education, Vol. 14, p. 63-96, January 2004.
  10. Christine DeMars, “Item Response Theory (Understanding Statistics: Measurement)”, Oxford University Press, Inc., 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Assessment Approach E-Learning skill level item response theory learner model measuring skills unit