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

An Intelligent Electronic Academic Advisor

by Khamisa A. Yousef, Rabeia N. Abdleati
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 40
Year of Publication: 2019
Authors: Khamisa A. Yousef, Rabeia N. Abdleati
10.5120/ijca2019918419

Khamisa A. Yousef, Rabeia N. Abdleati . An Intelligent Electronic Academic Advisor. International Journal of Computer Applications. 181, 40 ( Feb 2019), 14-21. DOI=10.5120/ijca2019918419

@article{ 10.5120/ijca2019918419,
author = { Khamisa A. Yousef, Rabeia N. Abdleati },
title = { An Intelligent Electronic Academic Advisor },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2019 },
volume = { 181 },
number = { 40 },
month = { Feb },
year = { 2019 },
issn = { 0975-8887 },
pages = { 14-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number40/30326-2019918419/ },
doi = { 10.5120/ijca2019918419 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:08:39.519929+05:30
%A Khamisa A. Yousef
%A Rabeia N. Abdleati
%T An Intelligent Electronic Academic Advisor
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 40
%P 14-21
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Academic advising is one of the important components in higher education. Advising can help students solve the academic problems they face during their study. In most world universities students select the courses that are most likely to meet their interests; therefore they need advising in choosing courses to complete their academic degrees. Academic advising is an essential element for an efficient learning process. This paper introduces an Intelligent Electronic academic advisor that adopts multi-agents technology using a recommendation system that switches between three recommendation techniques CF, CBF and KB, which helps students to decide which courses to take and presents academic advising for them.

References
  1. NACADA.(2006) concept of academic advising. Retrieved fromhttp://www.nacada.ksu.edu/Clearinghouse/AdvisingIsses/Concept-Advising.htm.
  2. Daramola, O., Emebo, O., Afolabi, I.T. and Ayo, C.K., 2014. Implementation of an intelligent course advisory expert system. IJARAI) International Journal of Advanced Research in Artificial Intelligence, 5(4).
  3. Nwelih,E. and Chiemeke,S., 2012 “Framework for a web-based spatial decision supportsystem for academic advising,” African Journal of Computing and ICT, vol. 5, no. 4, pp. 121–126,.
  4. Martin, H. ,2006"The social cognitive actor : a multi-actor simulation of organisations," PhD thesis, University of Groningen.
  5. Gandon, F., 2002. "Distributed Artificial Intelligence And Knowledge Management:Ontologies And Multi-Agent Systems For A Corporate Semantic Web," PhD thesis , Doctoral School of Sciences and Technologies of, INRIA and University of Nice, Sophia Antipolis,.
  6. Stone, P. and Veloso, M. ,1997 "Multiagent Systems: A Survey from a Machine Learning Perspective," Autonomous Robots, vol. 8, pp. 345-383.
  7. Guo, L. , Roberston, D. and Chen-Burger, Y. , 2004 "Business Process Model Based Multi-agent System Development," in The Second International Workshop on Collaboration Agents: Autonomous Agents for Collaborative Environments, Beijing, China.
  8. Albashir, A.,2002 Review of Multi-Agent Systems and their tools, university of liverpool, [Online]. Available: www.csc.liv.ac.uk/~ali/wp/MAS_review.pdf [Accessed: 15 SEP. 2018].
  9. Itmazi, J. ,2005. Flexible Learning Management System to Support Learning in The Traditional and Open Universities, PhD thesis, University of Granada,.
  10. Niinivaara, O.,2004. Agent-Based Recommender Systems, Software Agent Technology Course Paper, University of Helsinki.
  11. Montaner, M. , López, B. and De La, J. 2003 “A Taxonomy of Recommender Agents on the Internet”, Artificial Intelligence Review, vol. 19, Pages. 285- 330,
  12. Pazzani, M. , Muramatsu, J. and Billsus, D. 1996 “Syskill & Webert: Identifying Interesting Web Sites”, In proceedings of the thirteenth national conference on artificial intelligence, Portland, United States, vol. 1, pages 54-61.
  13. Resnick P. et al., 1994 “Grouplens: an Open Architecture for Collaborative Filtering of Netnews”, ACM 1994 conference on computer supported cooperative work, New York, NY, USA pages. 175–186.
  14. Tran, T. and Cohen, R. ,2000. Hybrid Recommender Systems for Electronic Commerce, In knowledge-based electronic markets, papers from AAAI workshop, Technical Report WS-00-04.
  15. Burke, R.,2000 knowledge-based recommender systems, In encyclopedia of library and information systems, vol. 69.
  16. Henderson, L. K. , Goodridge, W. ,2015. AdviseMe: an intelligent web-based application for academic advising, International Journal of Advanced Computer Science and Applications, 6 (8), 233--243.
  17. Lin, F., Leung, S., Wen, D., Zhang, F. and Kinshuk, M.2008 “e-advisor: A multi-agent system for academic advising,” International Transactions on Systems Science and Applications, vol. 4, no. 2, pp. 89–98.
  18. Marivate, V., Ssali, G. and Marwala, T.,2008 "An Intelligent Multi-Agent Recommender System for Human Capacity Building," in Electrotechnical Conference, 2008. MELECON. The 14th IEEE Mediterranean, 2008, pp. 909-915.
  19. Nienaber, R. , 2008 ."A Model For Enhancing Software Project Management Using Software Agent Technology," PhD thesis, University Of South Africa
Index Terms

Computer Science
Information Sciences

Keywords

Academic Advising Recommender System (RS) Multi agent system (MAS)

Powered by PhDFocusTM