Intelligent Decision Support System for Higher Education Helpdesk

Education is the responsibility of the Federal Government and Malaysia is committed to providing sound education to all. The Vision 2020 is to make Malaysia, a centre of educational excellence at international level. To achieve that mission, we need to continuously improve the standard of higher ed...

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Main Author:	Norhaira, Nordin
Format:	Thesis
Language:	eng
Published:	2006
Subjects:	T58.6-58.62 Management information systems
Online Access:	https://etd.uum.edu.my/1851/1/Norhaira_binti_Nordin_-_Intelligent_decision_support_system_for_higher_education_helpdesk.pdf
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id	my-uum-etd.1851
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng
topic	T58.6-58.62 Management information systems
spellingShingle	T58.6-58.62 Management information systems Norhaira, Nordin Intelligent Decision Support System for Higher Education Helpdesk
description	Education is the responsibility of the Federal Government and Malaysia is committed to providing sound education to all. The Vision 2020 is to make Malaysia, a centre of educational excellence at international level. To achieve that mission, we need to continuously improve the standard of higher education so as to produce quality graduates that would meet the needs of the nation for skilled workforced human resource. There is over 1000 degree programs offered by several universities in Malaysia every year. Each program has different qualification rules and condition that an applicant needs to consider before applying for places at higher institutions in Malaysia. In some cases, applicant will face lots of problem such as to make a correct decision and get the proper advice within limited period of time. One way to overcome this problem is by providing information and advisory service online. In conjunction with that, an Intelligent Decision Support for Higher Education Help-Desk is designed/ developed to assist student to identify their potential in some program offered in public and private university based on their qualification. A decision support system (DSS) can take many different forms and generally, DSS is a computerized system for helping make decisions. The proposed system uses Case-Based Reasoning (CBR) technique has been employed to assist users, in decision making. The studies also include identifying suitable CBR design for intelligent decision support for helpdesk. A new with specified attributes or know as CBR attributes is presented to the system, the engine then computes the similarity value will give the best recommendation on degree program to assist student to undertake. The system has been tested with real case data and the result shows that CBR engine is able to recommend a suitable program for various users.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Norhaira, Nordin
author_facet	Norhaira, Nordin
author_sort	Norhaira, Nordin
title	Intelligent Decision Support System for Higher Education Helpdesk
title_short	Intelligent Decision Support System for Higher Education Helpdesk
title_full	Intelligent Decision Support System for Higher Education Helpdesk
title_fullStr	Intelligent Decision Support System for Higher Education Helpdesk
title_full_unstemmed	Intelligent Decision Support System for Higher Education Helpdesk
title_sort	intelligent decision support system for higher education helpdesk
granting_institution	Universiti Utara Malaysia
granting_department	Centre for Graduate Studies
publishDate	2006
url	https://etd.uum.edu.my/1851/1/Norhaira_binti_Nordin_-_Intelligent_decision_support_system_for_higher_education_helpdesk.pdf
_version_	1747827217903124480
spelling	my-uum-etd.18512022-06-08T03:16:02Z Intelligent Decision Support System for Higher Education Helpdesk 2006 Norhaira, Nordin Centre for Graduate Studies Centre for Graduate Studies T58.6-58.62 Management information systems Education is the responsibility of the Federal Government and Malaysia is committed to providing sound education to all. The Vision 2020 is to make Malaysia, a centre of educational excellence at international level. To achieve that mission, we need to continuously improve the standard of higher education so as to produce quality graduates that would meet the needs of the nation for skilled workforced human resource. There is over 1000 degree programs offered by several universities in Malaysia every year. Each program has different qualification rules and condition that an applicant needs to consider before applying for places at higher institutions in Malaysia. In some cases, applicant will face lots of problem such as to make a correct decision and get the proper advice within limited period of time. One way to overcome this problem is by providing information and advisory service online. In conjunction with that, an Intelligent Decision Support for Higher Education Help-Desk is designed/ developed to assist student to identify their potential in some program offered in public and private university based on their qualification. A decision support system (DSS) can take many different forms and generally, DSS is a computerized system for helping make decisions. The proposed system uses Case-Based Reasoning (CBR) technique has been employed to assist users, in decision making. The studies also include identifying suitable CBR design for intelligent decision support for helpdesk. A new with specified attributes or know as CBR attributes is presented to the system, the engine then computes the similarity value will give the best recommendation on degree program to assist student to undertake. The system has been tested with real case data and the result shows that CBR engine is able to recommend a suitable program for various users. 2006 Thesis https://etd.uum.edu.my/1851/ https://etd.uum.edu.my/1851/1/Norhaira_binti_Nordin_-_Intelligent_decision_support_system_for_higher_education_helpdesk.pdf text eng public masters masters Universiti Utara Malaysia Aamodt, A., (1994). Case-Rased Reasoning: Foundational Issues,Methodological Variations, and System Approaches. AI Communications,7, 39-59. Agudo, R.D., Calero, P.A.G., Martin, P.P.G., & Martin, M.A.G.,(2005). On Developing a Distributed CBR Framework through Semantic Web Services, Retrieve October. 16, 2006, From http://www.mindswap.org/2005/OWLWorkshop/sub3O.pdf Angehrn, A. A,, & Dutta, S., (2000). 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Case-based tool for treatment of behavioral problems.Southeastern Symposium on System Theory, 2001.Proceedings of the 33rd Page(s):337-341. Jurisica, I., & Glasgow, J., (2000). Extending Case-Based Reasoning by Discovering and Using Image Features in IVF, Proceedings of the 2000 ACM symposium on Applied computing - Volume 1. Kotsiantis, S. B., & Pintelas, P. E. (2003). A Hybrid Decision Support Tool Using Ensemble of Classifiers, Educational Software Development Laboratory, Department of Mathematics, University of Patras, Greece. Lay, C. B., Khalid, M., & Yusof, R., (2000). Intelligent Database by Neural Network and Data Mining, Center for Artificial Intelligence and Robotics,Universiti Teknologi Malaysia Lorenzi, F., & Ricci, F. (2005). Case-Based Recommended System: Unifying View. Intelligent Techniques for Web Personalization, 89-113. Leake, D. B., (1996), CBR in Context: The Present and Future - in Leake, D, Case-Based Reasoning experiences, Lessons and Future Directions,AAAI Press IMIT Press, Menlo Park, CA. Montaner, M., Lopez, B., & Lluis de la Rosa, J. (2002). Improving Case Representation and Case Base Maintenance in Recommended Agents. Proceedings of the 6th European Conference on Advances in Case-Based Reasoning, 234-248. Nedeu, C., & Jacob, U., (1997), A Case-Based Reasoning Approach Towards Learning From Experience Connecting Design and Shop Floor", Computers in Industry, Vol. 33, pp. 127-37. Siraj, F., Zakaria, A., Ab. Aziz, A. & Abas, Z., (2003) A Web Based Business Insolvency Classifier using Neural Network. Proceeding of AIAI 2003. Siraj, F, & Asman, H (2002). Predicting Information Technology Competency Using Neural Networks. Proceedings of the 7th Asia Pacific Decision Sciences Institute Conference. Bangkok, Thailand. 24 - 27 July, pp.249-255. Siraj, F & Junoh,M . 2. M. (2002). 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Intelligent Decision Support System for Higher Education Helpdesk

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