CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

AeLF: Mixing Adaptive Learning System with Learning Management System

by Aimad Qazdar, Chihab Cherkaoui, Brahim Er-raha, Driss Mammass
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 119 - Number 15
Year of Publication: 2015
Authors: Aimad Qazdar, Chihab Cherkaoui, Brahim Er-raha, Driss Mammass
10.5120/21140-4171

Aimad Qazdar, Chihab Cherkaoui, Brahim Er-raha, Driss Mammass . AeLF: Mixing Adaptive Learning System with Learning Management System. International Journal of Computer Applications. 119, 15 ( June 2015), 1-8. DOI=10.5120/21140-4171

@article{ 10.5120/21140-4171,
author = { Aimad Qazdar, Chihab Cherkaoui, Brahim Er-raha, Driss Mammass },
title = { AeLF: Mixing Adaptive Learning System with Learning Management System },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 119 },
number = { 15 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume119/number15/21140-4171/ },
doi = { 10.5120/21140-4171 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:04:05.808958+05:30
%A Aimad Qazdar
%A Chihab Cherkaoui
%A Brahim Er-raha
%A Driss Mammass
%T AeLF: Mixing Adaptive Learning System with Learning Management System
%J International Journal of Computer Applications
%@ 0975-8887
%V 119
%N 15
%P 1-8
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Several educational institutes use e-Learning platforms especially Learning Management System (LMSs) to manage the learning process. Adaptive Learning System (ALSs) supports the learning process using adaptive guidance and possibly personnalized content. The AeLF offers a new framework that brings the two systems together. This is done by a single sign-on, a User Model, an Experience Learner Tracker, a Domain Model and an Adaptive Engine. Authors can create structured course material and define the pedagogical rules through a graphical interface. The experiences learner tracker can detect all the interaction learner/system and a supple adaptation engine offers almost any type of adaptation a learner might want. This article presents the architecture of the AeLF environment, and describes the all its components.

References
  1. Battou Amal, El Mezouary Ali, Cherkaoui Chihab, and Mammass Driss. Towards an adaptive learning system based on a new learning object granularity approach. International Journal of Advanced Computer Science and Applications( IJACSA), 2, 2011.
  2. Scherl Andre. Hypermediale Wissensvernetzung in Physiologie und Physik , Entwicklung einer webbasierten Lernumgebung und Untersuchung ihres Einfusses auf interdisziplinres Lernen. PhD thesis, dem Physiologischen Institut der Ludwig Maximilians Universitt Mnchen, 2013.
  3. Amal Battou. Approche granulaire des objets pdagogiques en vue de ladaptabilit dans le cadre des Environnements Informatiques pour l'Apprentissage Humain. PhD thesis, Facult des Sciences Agadir, Universit Ibn zohr, 2012.
  4. Paul De Bra, Ad Aerts, Bart Berden, Barend de Lange, Brendan Rousseau, Tomi Santic, David Smits, and Natalia Stash. Aha! the adaptive hypermedia architecture. In Proc. of the fourteenth ACM conference on Hypertext and Hypermedia, pages 81–84. ACM Press, 2003.
  5. Peter Brusilovsky. Methods and techniques of adaptive hypermedia. User Modeling and User-Adapted Interaction, 6(2- 3):87–129, 1996.
  6. Peter Brusilovsky. Adaptive hypermedia. User Modeling and User-Adapted Interaction, 11(1-2):87–110, 2001.
  7. Peter Brusilovsky, John Eklund, and Elmar Schwarz. Webbased education for all: A tool for development adaptive courseware. In Computer Networks and ISDN Systems, pages 1–7, 1998.
  8. Owen Conlan and VincentP. Wade. Evaluation of apels an adaptive elearning service based on the multi-model, metadata-driven approach. In PaulM. E. De Bra and Wolfgang Nejdl, editors, Adaptive Hypermedia and Adaptive Web- Based Systems, volume 3137 of Lecture Notes in Computer Science, pages 291–295. Springer Berlin Heidelberg, 2004.
  9. Paul De Bra and David Smits. A fully generic approach for realizing the adaptive web. In Mria Bielikov, Gerhard Friedrich, Georg Gottlob, Stefan Katzenbeisser, and Gyrgy Turn, editors, SOFSEM 2012: Theory and Practice of Computer Science, volume 7147 of Lecture Notes in Computer Science, pages 64–76. Springer Berlin Heidelberg, 2012.
  10. Paul De Bra, David Smits, and Natalia Stash. The design of aha! In Proceedings of the Seventeenth Conference on Hypertext and Hypermedia, HYPERTEXT '06, pages 133–134, New York, NY, USA, 2006. ACM.
  11. Paul De Bra, David Smits, Kees van der Sluijs, AlexandraI. Cristea, Jonathan Foss, Christian Glahn, and ChristinaM. Steiner. Grapple: Learning management systems meet adaptive learning environments. In Alejandro Pea-Ayala, editor, Intelligent and Adaptive Educational-Learning Systems, volume 17 of Smart Innovation, Systems and Technologies, pages 133–160. Springer Berlin Heidelberg, 2013.
  12. Marijana Despotovic-Zrakic, Aleksandar Markovic, Zorica Bogdanovic, Dusan Barac, and Srdjan Krco. Providing adaptivity in moodle lms courses. Educational Technology & Society, 15(1):326–338, 2012.
  13. Sidney D'Mello, Scotty Craig, Karl Fike, and Arthur Graesser. Responding to learners cognitive-affective states with supportive and shakeup dialogues. In JulieA. Jacko, editor, Human Computer Interaction. Ambient, Ubiquitous andIntelligent Interaction, volume 5612 of Lecture Notes in Computer Science, pages 595–604. Springer Berlin Heidelberg, 2009.
  14. Moushir M. El-Bishouty, Hiroaki Ogata, and Yoneo Yano. Personalized knowledge awareness map in computer supported ubiquitous learning. In Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies, ICALT 06, pages 817–821, Washington, DC, USA, 2006. IEEE Computer Society.
  15. S. Graf and Kinshuk. Adaptive technologies. In In Spector, J. M. Merrill, M. D. Elen, J. Bishop, M. J. (Eds. ), Handbook of Research on Educational Communications and Technology, pages 771–779, 2014.
  16. S. Graf and B. List. An evaluation of open source e-learning platforms stressing adaptation issues. pages 163–165, July 2005.
  17. Sabine Graf and Cindy Ives. A flexible mechanism for providing adaptivity based on learning styles in learning management systems. In in Proceedings of the IEEE International Conference on Advanced Learning Technologies (ICALT 2010), IEEE Computer Society, pages 30–34, 2010.
  18. Sergio Gutierrez-Santos, Abelardo Pardo, and Carlos Delgado Kloos. Authoring courses with rich adaptive sequencing for ims learning design. j-jucs, 14(17):2819–2839, sep 2008.
  19. Surjono Herman Dwi. The design of adaptive e-learning system based on students learning styles. International Journal of Computer Science and Information Technologies (IJCSIT), 2011.
  20. Geert-Jan Houben, Keesvan der Sluijs, Peter Barna, Jeen Broekstra, Sven Casteleyn, Zoltn Fiala, and Flavius Frasincar. Hera. In Gustavo Rossi, Oscar Pastor, Daniel Schwabe, and Luis Olsina, editors, Web Engineering: Modelling and Implementing Web Applications, Human-Computer Interaction Series, pages 263–301. Springer London, 2008.
  21. Gwo-Jen Hwang, Tzu-Chi Yang, Chin-Chung Tsai, and Stephen J. H. Yang. A context-aware ubiquitous learning environment for conducting complex science experiments. Computers and Education, 53(2):402 – 413, 2009.
  22. Jantke K P. and Schulz A. Adaptivity in moodle beyond the limits of adaptivity in moodle. , 2011.
  23. Pythagoras Karampiperis and Demetrios Sampson. Adaptive learning resources sequencing in educational hypermedia systems. Educational Technology and Society, 8:128–147, 2005.
  24. Evgeny Knutov, Paul De, and Bra Mykola Pechenizkiy. Ah 12 years later: a comprehensive survey of adaptive hypermedia methods and techniques. New Rev. Hypermedia Multimedia, 2009.
  25. S. Martn, E. Sancristobal, R. Gil, M. Castro, and J. Peire. Mobility through location-based services at university. International Journal of Interactive Mobile Technologies (iJIM), 2(3), 2008.
  26. Violeta Moisa. Adaptive learning management system. Journal of Mobile, Embedded and Distributed Systems, 5(2), 2013.
  27. Fabio Paterno. Designing web user interfaces adaptable to different types of use. museums and the web, 1999.
  28. E. Popescu. Adaptation provisioning with respect to learning styles in a web-based educational system: an experimental study. Journal of Computer Assisted Learning, 26(4):243– 257, 2010.
  29. Graf Sabine. Adaptivity In Learning Management Systems Focussing On Learning Styles. PhD thesis, Vienna University Of Technology ,Germany, 2007.
  30. OlgaC. Santos, Carmen Barrera, and JessG. Boticario. An overview of alfanet: An adaptive ilms based on standards. In PaulM. E. De Bra and Wolfgang Nejdl, editors, Adaptive Hypermedia and Adaptive Web-Based Systems, volume 3137 of Lecture Notes in Computer Science, pages 429–432. Springer Berlin Heidelberg, 2004.
  31. Gert Sauerstein. KI-Anstze zur Lerner-Adaption in Lern- Management-Systemen. PhD thesis, Technische Universitt Ilmenau, Germany, 2007.
  32. Foreman Steve. The xapi and the lms: What does the future hold?, 10 2013. http://www. learningsolutionsmag. com/articles/1271/thexapi- and-the-lms-what-does-the-future-hold.
  33. Judy C. R. Tseng, Hui-Chun Chu, Gwo-Jen Hwang, and Chin- Chung Tsai. Development of an adaptive learning system with two sources of personalization information. Computers and Education, 51(2):776 – 786, 2008.
  34. Declan Dagger VincentWade. Personalisation for all: Making adaptive course composition easy. In In Special Edition of the Educational Technology and Society Journal, IEEE IFETS, pages 9–25, 2005.
  35. Beverly Woolf, Winslow Burleson, Ivon Arroyo, Toby Dragon, David Cooper, and Rosalind Picard. Affect aware tutors recognising and responding to student affect. Int. J. Learn. Technol. , 4(3/4):129–164, October 2009.
  36. Yao Jung Yang and Chuni Wu. An attribute-based ant colony system for adaptive learning object recommendation. Expert Systems with Applications, 36(2, Part 2):3034 – 3047, 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Adaptation adaptive learning systems adaptive learning management system learning content adaptation engine

Powered by PhDFocusTM