AN AUTOMATED APPROACH TO THE DESIGN OF ONLINE CAREER COUNSELING SYSTEM


1NWOSU .A. AND 2ABDULAZEEZ S.A
1Department of Information Technology
National Open University of Nigeria.
2Department of Mathematics, Statistics and Computer Science
Kaduna Polytechnic, Kaduna.
Email: crossdelina20012001@yahoo.com, ysabdul94@yahoo.com
ABSTRACT: Due to high rate of examination malpractices, prostitution, drop-outs and vices
in our tertiary institution today, one is force to look for alternative way of reducing such
societal ills through effective career counseling system. Online career counseling system has
emerged as a viable alternative to conventional counseling system. There are limitations to
the existing career counseling approaching in Nigeria. To address these shortcomings, we
have developed online career counseling suitable for deployment in any system connected to
a network (intranet, internet). The research work commenced with a study and overview of
career counseling. The different counseling approaches were surveyed. Some existing webbased
counseling system were examined with their applicability and limitation to our peculiar
environment noted. Based on our findings, a Online Career Counseling was developed to
provide career counseling to candidates on the suitability or otherwise of their chosen career.
The key factors identified and used in evaluating the candidate’s suitable for a chosen career
include: his academic achievement, his personal attributes. Most of the existing online career
storage techniques rely on relation model and relational database technologies for these
tasks. The mis-match of the rigid 2D tables of relational model jeopardizes the scalability of
such repositories and frequently renders a repository inefficient for some types of data and
queries. We have proposed a system that can store data in the XML repository. The model
was finally implemented as a web-based system using baby web as web server, ASP as the
server-side scripting language, HTML 5.0 as client-side scripting language and XML as the
relational database


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