The study of students' self-assessment using intelligent decision classification (IDC)

A Study Of Students Self-Assessment Using Intelligent Decision Classification is to help SPM, STPM or matriculation candidates to choose which courses are suitable for them. This research prototype and knowledge base provides suggestions for the most suitable courses based on the IPT candidates’ i...

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Main Authors: Sulaiman, Sarina, Shaari, Nadzari, Salam, Md. Sah, Azwan, Mohamad Nor
Format: Monograph
Language:English
Published: Faculty of Computer Science and Information System 2004
Subjects:
Online Access:http://eprints.utm.my/id/eprint/5848/1/75057.pdf
http://eprints.utm.my/id/eprint/5848/
http://www.penerbit.utm.my
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spelling my.utm.58482017-08-10T04:50:24Z http://eprints.utm.my/id/eprint/5848/ The study of students' self-assessment using intelligent decision classification (IDC) Sulaiman, Sarina Shaari, Nadzari Salam, Md. Sah Azwan, Mohamad Nor QA75 Electronic computers. Computer science A Study Of Students Self-Assessment Using Intelligent Decision Classification is to help SPM, STPM or matriculation candidates to choose which courses are suitable for them. This research prototype and knowledge base provides suggestions for the most suitable courses based on the IPT candidates’ interest and their SPM, STPM or matriculations examination result. This research is considered the input factors by users such as interest, and SPM, STPM or matriculation results. This research also help to generate IPT candidates interest by using a technique from Dr Holland, called the SDS (Self Directed Search). Other than that, this research considered other UTM requirements before suggesting suitable courses for the IPT candidates. This is because to ensure that the courses chosen are suitable with their interest and their qualification. The research prototype is developed in Linux Fedora Core 2 operating system using a Hypertext Preprocessor (PHP) programming language, My Structured Query Language (MySQL) and Apache web server to create an expert system by using a knowledge base technique which are rules and backward chaining method as an inference engine. This prototype can be used through Internet so that it can be reached by students from all over Malaysia. In such a way, this will help to attract more IPT candidates joining UTM. Hence, the students will know what courses that are suitable for them based on their interest and qualification. Faculty of Computer Science and Information System 2004-12-31 Monograph NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/5848/1/75057.pdf Sulaiman, Sarina and Shaari, Nadzari and Salam, Md. Sah and Azwan, Mohamad Nor (2004) The study of students' self-assessment using intelligent decision classification (IDC). Project Report. Faculty of Computer Science and Information System, Skudai, Johor. (Unpublished) http://www.penerbit.utm.my
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Sulaiman, Sarina
Shaari, Nadzari
Salam, Md. Sah
Azwan, Mohamad Nor
The study of students' self-assessment using intelligent decision classification (IDC)
description A Study Of Students Self-Assessment Using Intelligent Decision Classification is to help SPM, STPM or matriculation candidates to choose which courses are suitable for them. This research prototype and knowledge base provides suggestions for the most suitable courses based on the IPT candidates’ interest and their SPM, STPM or matriculations examination result. This research is considered the input factors by users such as interest, and SPM, STPM or matriculation results. This research also help to generate IPT candidates interest by using a technique from Dr Holland, called the SDS (Self Directed Search). Other than that, this research considered other UTM requirements before suggesting suitable courses for the IPT candidates. This is because to ensure that the courses chosen are suitable with their interest and their qualification. The research prototype is developed in Linux Fedora Core 2 operating system using a Hypertext Preprocessor (PHP) programming language, My Structured Query Language (MySQL) and Apache web server to create an expert system by using a knowledge base technique which are rules and backward chaining method as an inference engine. This prototype can be used through Internet so that it can be reached by students from all over Malaysia. In such a way, this will help to attract more IPT candidates joining UTM. Hence, the students will know what courses that are suitable for them based on their interest and qualification.
format Monograph
author Sulaiman, Sarina
Shaari, Nadzari
Salam, Md. Sah
Azwan, Mohamad Nor
author_facet Sulaiman, Sarina
Shaari, Nadzari
Salam, Md. Sah
Azwan, Mohamad Nor
author_sort Sulaiman, Sarina
title The study of students' self-assessment using intelligent decision classification (IDC)
title_short The study of students' self-assessment using intelligent decision classification (IDC)
title_full The study of students' self-assessment using intelligent decision classification (IDC)
title_fullStr The study of students' self-assessment using intelligent decision classification (IDC)
title_full_unstemmed The study of students' self-assessment using intelligent decision classification (IDC)
title_sort study of students' self-assessment using intelligent decision classification (idc)
publisher Faculty of Computer Science and Information System
publishDate 2004
url http://eprints.utm.my/id/eprint/5848/1/75057.pdf
http://eprints.utm.my/id/eprint/5848/
http://www.penerbit.utm.my
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score 13.211869