With the rapid increase in the development of online learning technology and the huge amount of learning materials generated on the web. Besides, the learning resources are growing infinitely making it difficult for users to choose appropriate resources for their learning. This paper discusses current applications of artificial neural networks and its great potential to help users in a personal learning environment to identify relevant and interesting items from a large number of items by suggesting actions to learners.
| Published in | International Journal of Science, Technology and Society (Volume 4, Issue 6) |
| DOI | 10.11648/j.ijsts.20160406.14 |
| Page(s) | 106-109 |
| 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 |
E-Learning, Neural Networks, Artificial Intelligence, Applications, Developments
| [1] | Eldon Y. Li, "Artificial neural networks and their business applications", Information & Management Applications, Elsevier, vol. 27, 1994, pp. 303-313. |
| [2] | Matteo G., et al., "An Approach To Personalized e-Learning", SYSTEMICS, CYBERNETICS AND INFORMATICS, volume 11, number 1, 2013. |
| [3] | Harley, J. M., Lajoie, S. P., Frasson, C., & Hall, N. C. (2015). An Integrated Emotion-Aware Framework for Intelligent Tutoring Systems. In Artificial Intelligence in Education (pp. 616-619). Springer International Publishing. |
| [4] | Utku K., Ahmet A, "E-LEARNING EXPERIENCE WITH ARTIFICIAL INTELLIGENCE SUPPORTED SOFTWARE: An International Application on English Language Courses", GLOKAL de journal, Volume: 1 Number: 3, July 2015, pp. 61-75. |
| [5] | Kiran Sharma, Ankit Naik and 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. |
| [6] | Mr. Rahul Sehrawat, Mr. Pankaj Gupta and Mr. Ravishu Yadav, "Basic of Artificial Neural Network", IJRDO - Journal of Computer Science and Engineering, Vol. 1, Issue (5), May 2015, pp. 26-30. |
| [7] | Sumit Goyal, Gyanendra Kumar Goyal, "Application of artificial neural engineering and regression models for forecasting shelf life of instant coffee drink", IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 4, No 1, July 2011, pp. 320-324. |
| [8] | http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.112.6264&rep=rep1&type=Pdf (accessed on 20.5.2011) |
| [9] | 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. |
| [10] | Richard E. M., "ELEMENTS OF A SCIENCE OF E-LEARNING", EDUCATIONAL COMPUTING RESEARCH, Vol. 29, (3), 2003, pp. 297-313. |
| [11] | Ting F. et al., "Question Classification for E-learning by Artificial Neural Network", ICICS IEEE conference, Singapore, 5-18 Dec., 2003, pp. 1-5. |
| [12] | J. E. Villaverde, et al., "Learning styles’ recognition in e-learning environments with feed-forward neural networks", Journal of Computer Assisted Learning, Blackwell Publishing Ltd, Vol. 22, 2006, pp. 197–206. |
| [13] | Lykourentzo, I., et al., "Early and Dynamic Student Achievement Prediction in e-Learning Courses Using Neural Networks". DOI: 10.1002/asi.20970, 2008. |
| [14] | Halil Ibrahim Cebeci, et al., "A comparative analysis of the effects of instructional design factors on student success in e-learning: multiple-regression versus neural networks", ALT-J, Research in Learning Technology, Vol. 17, No. 1, March 2009, pp. 21–31. |
| [15] | Lykourentzou, I., et al., "Dropout Prediction in e-Learning Courses through the Combination of Machine Learning Techniques", School of Electrical and Computer Engineering, National Technical University of Athens, Zographou Campus, 15773 Athens, Greece, 2009. |
| [16] | Elena S., "using Artificial Neural Networks in E-Learning Systems", U. P. B. Sci. Bull., C, Vol. 72, 4, 2010, pp. 91-100. |
| [17] | Parminder K., et al., "Improving E-Learning with Neural Networks", International Journal of Computing & Business Research, Proceedings of 'I-Society 2012' at GKU Talwandi sabo Bathinda (Punjab), 2012. |
| [18] | Peter, H, "Prediction of e-Learning Efficiency by Neural Networks", CYBERNETICS AND INFORMATION TECHNOLOGIES, Volume 12, No 2, 2012. |
| [19] | Mohamed S., Faris B., "E-learning Optimization Using Supervised Artificial Neural-Networks", Journal of Software Engineering and Applications, Vol. 8, Issue (26), 2015, pp. 26-34. |
| [20] | Ankita P., Poonam M., "E-Learning Using Artificial Intelligence", International Journal of Computer Science and Information Technology Research, Vol. 3, Issue 1,, January - March 2015, pp. 78-82. |
APA Style
Rana Khudhair Abbas Ahmed. (2017). A Comprehensive Review of Current Applications of Artificial Neural Networks in E-Learning Environment. International Journal of Science, Technology and Society, 4(6), 106-109. https://doi.org/10.11648/j.ijsts.20160406.14
ACS Style
Rana Khudhair Abbas Ahmed. A Comprehensive Review of Current Applications of Artificial Neural Networks in E-Learning Environment. Int. J. Sci. Technol. Soc. 2017, 4(6), 106-109. doi: 10.11648/j.ijsts.20160406.14
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.ijsts.20160406.14,
author = {Rana Khudhair Abbas Ahmed},
title = {A Comprehensive Review of Current Applications of Artificial Neural Networks in E-Learning Environment},
journal = {International Journal of Science, Technology and Society},
volume = {4},
number = {6},
pages = {106-109},
doi = {10.11648/j.ijsts.20160406.14},
url = {https://doi.org/10.11648/j.ijsts.20160406.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsts.20160406.14},
abstract = {With the rapid increase in the development of online learning technology and the huge amount of learning materials generated on the web. Besides, the learning resources are growing infinitely making it difficult for users to choose appropriate resources for their learning. This paper discusses current applications of artificial neural networks and its great potential to help users in a personal learning environment to identify relevant and interesting items from a large number of items by suggesting actions to learners.},
year = {2017}
}
TY - JOUR T1 - A Comprehensive Review of Current Applications of Artificial Neural Networks in E-Learning Environment AU - Rana Khudhair Abbas Ahmed Y1 - 2017/01/14 PY - 2017 N1 - https://doi.org/10.11648/j.ijsts.20160406.14 DO - 10.11648/j.ijsts.20160406.14 T2 - International Journal of Science, Technology and Society JF - International Journal of Science, Technology and Society JO - International Journal of Science, Technology and Society SP - 106 EP - 109 PB - Science Publishing Group SN - 2330-7420 UR - https://doi.org/10.11648/j.ijsts.20160406.14 AB - With the rapid increase in the development of online learning technology and the huge amount of learning materials generated on the web. Besides, the learning resources are growing infinitely making it difficult for users to choose appropriate resources for their learning. This paper discusses current applications of artificial neural networks and its great potential to help users in a personal learning environment to identify relevant and interesting items from a large number of items by suggesting actions to learners. VL - 4 IS - 6 ER -
Information
Email: