Artificial Neural Networks in E-Learning Personalization:  A Review

Rana Khudhair Abbas Ahmed

doi:doi:10.11648/j.ijiis.20160506.14

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Artificial Neural Networks in E-Learning Personalization: A Review

Rana Khudhair Abbas Ahmed

Published in International Journal of Intelligent Information Systems (Volume 5, Issue 6)

Received: 16 December 2016 Accepted: 28 December 2016 Published: 19 January 2017

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Abstract

Finding the appropriate personalized learning resources is a difficult process for users and learners on the web. Artificial Neural Networks show a great significance in helping users in personalizing their own learning interests from a large number of resources by giving suggestions to users and learners based on their preferences and all of this with less time and effort. This paper discusses the importance of using neural networks in E-Learning personalization and shows some current applications of them with their improvements and limitations.

Published in	International Journal of Intelligent Information Systems (Volume 5, Issue 6)
DOI	10.11648/j.ijiis.20160506.14
Page(s)	104-108
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

E-Learning, Personalization, Neural Networks, Artificial Intelligence, Applications

References

[1]	Dave A., George M. K.,"ARTIFICIAL NEURAL NETWORKS TECHNOLOGY", A DACS State-of-the-Art Report, (Data & Analysis Center for Software) ELIN: A011, August 20, 1992.
[2]	Nihal P. et al., " Instant E-Learning: A Chat Room Concept for Education", International Journal of Engineering Innovation & Research, Volume 4, Issue 6, 2012, pp. 820-822.
[3]	Matteo Gaeta, Sergio Miranda, Francesco Orciuoli, Stefano Paolozzi, Antonella Poce, "An Approach To Personalized E-Learning", SYSTEMICS, CYBERNETICS AND INFORMATICS volume 11, number 1, 2013.
[4]	A. Baylari and G. A. Montazer, "Design a personalized E-Learning system based on item response theory and artificial neural network approach," Expert Systems with Applications, vol. 36, pp. 8013-8021, 2009, http://dx.doi.org/10.1016/j.eswa.2008.10.080.
[5]	B. Yogesh Babu1, G. V. Sriramakrishnan, G. Visvanathan, "Survey of E-Learning: Content Personalization", International Journal of Advanced Research in Computer and Communication Engineering, Vol. 4, Issue 4, April 2015, DOI 10.17148/IJARCCE.2015.4474 328.
[6]	Hazem M. El-Bakry, Nikos Mastorakis, "Advanced Technology for E-Learning Development", RECENT ADVANCES IN APPLIED MATHEMATICS AND COMPUTATIONAL AND INFORMATION SCIENCES, Volume II, pp. 501-522.
[7]	E-Learning Engineering, http://www.elearningengineering.com/ai.htm, 2006.
[8]	David J. Steinhart, “Summary Street: An Intelligent Tutoring System for Improving Student Writing Through the Use of Latent Semantic Analysis”, Faculty of The Graduate School of the University of Colorado, 2001.
[9]	SRI Consulting Business Intelligence, http://www.sric-bi.com/Explorer/NN.shtml, 2004.
[10]	Kiran Sharma, Ankit Naik, Purushottam Patel, "Study of Artificial Neural Network", International Journal of Advanced Research Trends in Engineering and Technology (IJARTET) Vol. 2, Issue 4, April, 2015, pp. 46-48.
[11]	Mukta Goyal, Divakar Yadav, Alka Choubey, "E-Learning: Current State of Art and Future Prospects", IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 3, No 2, May 2012.
[12]	Vatcharaporn Esichaikul, Clemens Bechter, "Catering for Different Learning Styles in E-Learning", J. M. Spector et al. (eds.), Learning and Instruction in the Digital Age, Springer Science+Business Media, LLC, 2010, pp. 361-374.
[13]	J. E. Villaverde, D. Godoy_w, A. Amandi, "Learning styles’ recognition in E-Learning environments with feed-forward neural networks", Journal of Computer Assisted Learning, Vol. 22, 2006, pp197–206.
[14]	Hassina Seridi, Toufik Sari and Mokhtar Sellami, "Adaptive Instructional Planning using Neural Networks in Intelligent Learning Systems", The International Arab Journal of Information Technology, Vol. 3, No. 3, July 2006, pp. 183-192.
[15]	P. Ralph and J. Parsons, "A Framework for Automatic Online Personalization," Proc. 39th Ann. Hawaii Int'l Conf. System Sciences (HICSS '06), p. 137b, 2006.
[16]	Pao-Hua Chou and Menq-Jiun Wu,"Accessing e-Learners’ Knowledge for Personalization in E-Learning Environment", Journal of Research and Practice in Information Technology, Vol. 41, No. 4, Nov. 2009.
[17]	Ahmad Baylari and Montazer, Gh. A., "Design a personalized E-Learning system based on item response theory and artificial neural network approach", Expert Systems with Applications, Vol. 36, 4, 2009, pp. 8013-8021.
[18]	Norsham Idris, Norazah Yusof, and Puteh Saad, " Adaptive Course Sequencing for Personalization of Learning Path Using Neural Network", International Journal of Advance Soft Computer Applications, Vol. 1, No. 1, July 2009.
[19]	J. Bernard et al., " Using Artificial Neural Networks to Identify Learning Styles", Springer International Publishing Switzerland, C. Conati et al. (Eds.): AIED 2015, LNAI 9112, 2015, pp. 541–544.

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Rana Khudhair Abbas Ahmed. (2017). Artificial Neural Networks in E-Learning Personalization: A Review. International Journal of Intelligent Information Systems, 5(6), 104-108. https://doi.org/10.11648/j.ijiis.20160506.14

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ACS Style

Rana Khudhair Abbas Ahmed. Artificial Neural Networks in E-Learning Personalization: A Review. Int. J. Intell. Inf. Syst. 2017, 5(6), 104-108. doi: 10.11648/j.ijiis.20160506.14

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AMA Style

Rana Khudhair Abbas Ahmed. Artificial Neural Networks in E-Learning Personalization: A Review. Int J Intell Inf Syst. 2017;5(6):104-108. doi: 10.11648/j.ijiis.20160506.14

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@article{10.11648/j.ijiis.20160506.14,
  author = {Rana Khudhair Abbas Ahmed},
  title = {Artificial Neural Networks in E-Learning Personalization:  A Review},
  journal = {International Journal of Intelligent Information Systems},
  volume = {5},
  number = {6},
  pages = {104-108},
  doi = {10.11648/j.ijiis.20160506.14},
  url = {https://doi.org/10.11648/j.ijiis.20160506.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20160506.14},
  abstract = {Finding the appropriate personalized learning resources is a difficult process for users and learners on the web. Artificial Neural Networks show a great significance in helping users in personalizing their own learning interests from a large number of resources by giving suggestions to users and learners based on their preferences and all of this with less time and effort. This paper discusses the importance of using neural networks in E-Learning personalization and shows some current applications of them with their improvements and limitations.},
 year = {2017}
}

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TY  - JOUR
T1  - Artificial Neural Networks in E-Learning Personalization:  A Review
AU  - Rana Khudhair Abbas Ahmed
Y1  - 2017/01/19
PY  - 2017
N1  - https://doi.org/10.11648/j.ijiis.20160506.14
DO  - 10.11648/j.ijiis.20160506.14
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 104
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PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20160506.14
AB  - Finding the appropriate personalized learning resources is a difficult process for users and learners on the web. Artificial Neural Networks show a great significance in helping users in personalizing their own learning interests from a large number of resources by giving suggestions to users and learners based on their preferences and all of this with less time and effort. This paper discusses the importance of using neural networks in E-Learning personalization and shows some current applications of them with their improvements and limitations.
VL  - 5
IS  - 6
ER  -

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Author Information

Rana Khudhair Abbas Ahmed

Computer Techniques Engineering Department, Alrafidain University College, Baghdad, Iraq

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APA Style

Rana Khudhair Abbas Ahmed. (2017). Artificial Neural Networks in E-Learning Personalization: A Review. International Journal of Intelligent Information Systems, 5(6), 104-108. https://doi.org/10.11648/j.ijiis.20160506.14

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ACS Style

Rana Khudhair Abbas Ahmed. Artificial Neural Networks in E-Learning Personalization: A Review. Int. J. Intell. Inf. Syst. 2017, 5(6), 104-108. doi: 10.11648/j.ijiis.20160506.14

Copy | Download

AMA Style

Rana Khudhair Abbas Ahmed. Artificial Neural Networks in E-Learning Personalization: A Review. Int J Intell Inf Syst. 2017;5(6):104-108. doi: 10.11648/j.ijiis.20160506.14

Copy | Download

@article{10.11648/j.ijiis.20160506.14,
  author = {Rana Khudhair Abbas Ahmed},
  title = {Artificial Neural Networks in E-Learning Personalization:  A Review},
  journal = {International Journal of Intelligent Information Systems},
  volume = {5},
  number = {6},
  pages = {104-108},
  doi = {10.11648/j.ijiis.20160506.14},
  url = {https://doi.org/10.11648/j.ijiis.20160506.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20160506.14},
  abstract = {Finding the appropriate personalized learning resources is a difficult process for users and learners on the web. Artificial Neural Networks show a great significance in helping users in personalizing their own learning interests from a large number of resources by giving suggestions to users and learners based on their preferences and all of this with less time and effort. This paper discusses the importance of using neural networks in E-Learning personalization and shows some current applications of them with their improvements and limitations.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Artificial Neural Networks in E-Learning Personalization:  A Review
AU  - Rana Khudhair Abbas Ahmed
Y1  - 2017/01/19
PY  - 2017
N1  - https://doi.org/10.11648/j.ijiis.20160506.14
DO  - 10.11648/j.ijiis.20160506.14
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 104
EP  - 108
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20160506.14
AB  - Finding the appropriate personalized learning resources is a difficult process for users and learners on the web. Artificial Neural Networks show a great significance in helping users in personalizing their own learning interests from a large number of resources by giving suggestions to users and learners based on their preferences and all of this with less time and effort. This paper discusses the importance of using neural networks in E-Learning personalization and shows some current applications of them with their improvements and limitations.
VL  - 5
IS  - 6
ER  -

Copy | Download