CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

An Agent based Personalized Intelligent e-learning

by Axita Shah, Sonal Jain
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 20 - Number 3
Year of Publication: 2011
Authors: Axita Shah, Sonal Jain
10.5120/2411-3215

Axita Shah, Sonal Jain . An Agent based Personalized Intelligent e-learning. International Journal of Computer Applications. 20, 3 ( April 2011), 40-45. DOI=10.5120/2411-3215

@article{ 10.5120/2411-3215,
author = { Axita Shah, Sonal Jain },
title = { An Agent based Personalized Intelligent e-learning },
journal = { International Journal of Computer Applications },
issue_date = { April 2011 },
volume = { 20 },
number = { 3 },
month = { April },
year = { 2011 },
issn = { 0975-8887 },
pages = { 40-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume20/number3/2411-3215/ },
doi = { 10.5120/2411-3215 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:06:51.358492+05:30
%A Axita Shah
%A Sonal Jain
%T An Agent based Personalized Intelligent e-learning
%J International Journal of Computer Applications
%@ 0975-8887
%V 20
%N 3
%P 40-45
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Education is foundation of any modern society. Self Discovery is a key to an individual’s education success. Self Discovery learning is the ability of an individual to learn through personal experience and natural exploration. Online Discovery learning tends to be learner-driven and learner-initiated. Digital repository on web is supportive for online discovery learning. In recent era, availability of infrastructure, flexibility of time, learning resources and their means of sharing has increased adaptability of World Wide Web to learn and attain knowledge to a great extent. However, most of the e-learners find difficulty to select location specific, relevant and significant tutorial on the web. Search engines results pages are not based on the interest, knowledge level and literacy rate of learner. More amount of time spent on searching and filtering and comparatively less time is devoted in actual learning. This paper proposes an agent based personalized intelligent e-learning model. The essence of personalized search engine is to save learner’s time to re-rank future result list. This Model uses multiple agents which delivers personalized SERP (Search Engine Results Page) and is more suited for personalization of web pages based on learner’s query expanded to manifold queries with novel concept of keyword research and discover knowledge using browser’s behaviour. The proposed model uses web usage mining techniques to discover the knowledge of learner.

References
  1. I. Seher, A. G. (2007). A Personalized Query Expansion approach using Context. 2007 3rd IET International Conference on Intelligent Environments (pp. 383-390). Ulm : IEEE Xplore.
  2. Bamshad Mobasher, R. C. (2000). automatic personalization based on web usage mining. Communication of the ACM .
  3. Chang, X. L.-K. (1997). A Personalized E-Learning System Based on User Profile Constructed Using Information Fusion. Fab: content-based collaborative recommendation. CACM 1997 , (pp. Volume 40, no 9 ). Balabanovic, Shoham .
  4. Cheqian Chen, K. L. (2010). Personalized search based on learning user click history. Cognitive Informatics (ICCI), 2010 9th IEEE International Conference on (pp. 490-495). Beijing : IEEE Explore.
  5. Fang Liu, C. Y. (2002). Personalized Web Search by Mapping User Queries to Categories. Proceeding CIKM '02 Proceedings of the eleventh international conference on Information and knowledge management. Newyork, USA: ACM.
  6. George T. Wang, F. X. (2002). Web Search with Personalization and Knowledge. Proceedings of the IEEE Fourth International Symposium on Multimedia Software Engineering (MSE’02) (p. 2002114351/02). IEEE.
  7. Hafidh Ba-Omar, I. P. (2007). A Framework for Using Web Usage Mining to Personalise E-learning. Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007) (pp. 937-938). Japan: IEEE.
  8. Hai-Jew, S. (2008). Scaffolding Discovery Learning Spaces. MERLOT Journal of Online Learning and Teaching, (pp. 533-549). USA.
  9. Hisham Al-Mubaid, P. C. (2005). Context-Based Similar Words Detection and Its Application in Specialized Search Engines. Proceeding IUI '05 Proceedings of the 10th international conference on Intelligent user interfaces (pp. ISBN: 1-58113-894-6 Order Number: 608050 doi>10.1145/1040830.1040890). New York, NY, USA : ACM New York, NY, USA ©2005.
  10. Hong Zhang, Y. M. (2009). Personalized Intelligent Search Engine Based on Web Data Mining. Proceedings of the 2009 International Workshop on Information Security and Application (IWISA 2009) (pp. ISBN 978-952-5726-06-0). China: 2009 ACADEMY PUBLISHER AP-PROC-CS-09CN004.
  11. Search Engine Results Page (SERP), Retrieved from http://en.wikipedia.org/wiki/: http://en.wikipedia.org/wiki/Search_engine_results_page
  12. Jerkovic, J. I. (2009). SEO Warrior. O'Reilly Media, Inc.
  13. Kosuke Takano, K. F. (2010). An Adaptive e-Learning Recommender Based on User’s Web-Browsing Behavior. 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (pp. 978-0-7695-4237-9/10). IEEE.
  14. Leung, K.-T., Lee, D., & Lee, W.-C. (2010). Personalized Web search with location preferences. Data Engineering (ICDE), 2010 IEEE 26th International Conference (pp. 702-712). China: IEEE Explore.
  15. Literacy Rate in India. (2010 ). Retrieved from http://india.gov.in/: http://india.gov.in/knowindia/literacy.php
  16. Lu, J. (2004). A Personalized e-Learning Material Recommended System. Proceedings of the 2nd International Conference on Information Technology for Application (ICITA 2004). ICITA.
  17. Marta Zorrilla, S. M. (2005). Data Webhouse to support web intelligence ine-learning environments. Granular Computing, 2005 IEEE International Conference (pp. 722 - 727 Vol. 2). Spain: IEEE Explore.
  18. Mohamed Koutheaïr Khribi, M. J. (2008). Automatic Recommendations for E-Learning Personalization Based on Web Usage Mining Techniques and Information Retrieval. Proceeding ICALT '08 Proceedings of the 2008 Eighth IEEE International Conference on Advanced Learning Technologies (pp. 30-42). Washington, DC, USA : EEE Computer Society.
  19. Nasraoui, L. Z. (2009). Automated Discovery, Categorization and Retrieval of Personalized Semantically Enriched E-learning Resources. 2009 IEEE International Conference on Semantic Computing (pp. 978-0-7695-3800-6/09). IEEE.
  20. Nasraoui, O. (2006). Seventh International Workshop on Knowledge Discovery on the Web. Springer.
  21. Olfa Nasraoui, L. Z. (2010). Improving Recall and Precision of a Personalized Semantic Search Engine for E-learning. 2010 Fourth International Conference on Digital Society. USA: IEEE.
  22. Olfa Nasraoui, M. S. (2008). A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Sites. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 20, NO. 2, FEBRUARY 2008 (pp. 1041-4347/08). IEEE.
  23. R. Cooley, B. M. (2002). Web Mining: Information and Pattern Discovery on the World Wide Web. Tools with Artificial Intelligence, 1997. Proceedings., Ninth IEEE International Conference (pp. 558-567). Newport Beach, CA , USA: IEEE.
  24. Tasawar Hussain, D. S. (2010). Web usage mining: A survey on preprocessing of web log file. Information and Emerging Technologies (ICIET), 2010 International Conference (pp. 1-6). Karachi : IEEE Explore.
  25. Xinjin Li, S. Z. (2010). Application of Web Usage Mining in e-learning Platform. 2010 International Conference on E-Business and E-Government (p. DOI 10.1109/ICEE.2010.353). IEEE.
  26. Xue Sun, W. Z. (2009). Design and Implementation of an E-learning Model Based on WUM Techniques. 2009 International Conference on E-Learning, E-Business, Enterprise Information Systems, and E-Government (pp. 978-0-7695-3907-2/09). IEEE.
Index Terms

Computer Science
Information Sciences

Keywords

Personalized Intelligent SERP (Search Engine Results Page)

Powered by PhDFocusTM