• ISSN: 2010-0248 (Print)
    • Abbreviated Title: Int. J. Innov.  Manag. Technol.
    • Frequency: Quarterly
    • DOI: 10.18178/IJIMT
    • Editor-in-Chief: Prof. Jin Wang
    • Managing Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, CNKI, Ulrich's Periodicals Directory,  Crossref, Electronic Journals Library.
    • E-mail: editor@ijimt.org

    • Article Processing Charge: 500 USD
IJIMT 2012 Vol.3(4): 363-367 ISSN: 2010-0248
DOI: 10.7763/IJIMT.2012.V3.255
 

Intelligent Agent Based Consultation Scheduling Framework for Institutions of Higher Learning

H. Vasudavan and J. S. Fernandez

Abstract—This study concerns the utilization of Information System Planning (ISP) in tertiary institutions, and develops a framework that could be used to generate suitable consultation sessions by considering other tasks that lecturers/tutors are involved in. Previous study and data gathering results indicate that most tertiary institutions allocate consultation sessions manually and there are many issues due to this. This paper puts forward a framework made up of two important components to address the issues of manual allocation. The two components are intelligent agent and integrated databases.

Index Terms—Consultation allocation, CSF, intelligent agent,tertiary education.

 

H. Vasudavan and J. A. S. Fernandez are with the Information Communication and Technology Department, University College of Technology and Innovation (UCTI), Bukit Jalil,57000 Kuala Lumpur, Malaysia (e-mail: hemalata@ucti.edu.my; jsharmini@hotmail.com).

 

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Cite: H. Vasudavan and J. S. Fernandez, "Intelligent Agent Based Consultation Scheduling Framework for Institutions of Higher Learning," International Journal of Innovation, Management and Technology vol. 3, no. 4, pp. 363 -367 , 2012.

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