Intelligent agent for checking examination questions (IACEQ) / Nur Amalina Kamarudin

In the context of UiTM, the exam questions for each course are made by different lecturers. In preparing the final exam questions, each lecturer need to send the exam questions to the panel to decide which exam questions meet the requirement to be the final exam questions for the subject. Usually, l...

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Main Author:	Kamarudin, Nur Amalina
Format:	Thesis
Language:	English
Published:	2014
Subjects:	Electronic Computers Computer Science Configuration management Web databases
Online Access:	https://ir.uitm.edu.my/id/eprint/64850/2/64850.pdf
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id	my-uitm-ir.64850
record_format	uketd_dc
spelling	my-uitm-ir.648502022-09-06T04:06:42Z Intelligent agent for checking examination questions (IACEQ) / Nur Amalina Kamarudin 2014 Kamarudin, Nur Amalina Electronic Computers. Computer Science Configuration management Web databases In the context of UiTM, the exam questions for each course are made by different lecturers. In preparing the final exam questions, each lecturer need to send the exam questions to the panel to decide which exam questions meet the requirement to be the final exam questions for the subject. Usually, lecturer does not compare the questions with the previous semester exam questions. Thus, the possibility of the questions being repeated again with the previous exam questions might be high. The problem is there is no intelligent agent that can measure the similarity of the questions when needed. The purpose of this paper is to developanintelligent agent that will measure the similarity of the proposed exam questions with the previous exam questions. In the process of measuring the degree of the similarity of the questions, exact matching technique with synonym was chosen. The agent compares the proposed exam questions with the previous exam questions selected by the lecturer and generate result showing the degree of similarity between those questions. As a result, it is found out that all of the results are in range of 0.0056 to 0.1167 which is far from 1.000. This means, the proposed exam question and previous exam questions mostly are not similar. Only the same questions that are compared together produce 1.000 similarities which mean it is absolutely the same. This is proven by the result given by the system. IACEQ system can ease a lot of the lecturer task, saves their times and energy, but with some improvements. The hope is that the system can give benefit to the education field and help to reduce lecturer task. 2014 Thesis https://ir.uitm.edu.my/id/eprint/64850/ https://ir.uitm.edu.my/id/eprint/64850/2/64850.pdf text en public degree Universiti Teknologi MARA, Perak Faculty of Computer and Mathematical Sciences Ahmad, Normah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Ahmad, Normah
topic	Electronic Computers Computer Science Configuration management Web databases
spellingShingle	Electronic Computers Computer Science Configuration management Web databases Kamarudin, Nur Amalina Intelligent agent for checking examination questions (IACEQ) / Nur Amalina Kamarudin
description	In the context of UiTM, the exam questions for each course are made by different lecturers. In preparing the final exam questions, each lecturer need to send the exam questions to the panel to decide which exam questions meet the requirement to be the final exam questions for the subject. Usually, lecturer does not compare the questions with the previous semester exam questions. Thus, the possibility of the questions being repeated again with the previous exam questions might be high. The problem is there is no intelligent agent that can measure the similarity of the questions when needed. The purpose of this paper is to developanintelligent agent that will measure the similarity of the proposed exam questions with the previous exam questions. In the process of measuring the degree of the similarity of the questions, exact matching technique with synonym was chosen. The agent compares the proposed exam questions with the previous exam questions selected by the lecturer and generate result showing the degree of similarity between those questions. As a result, it is found out that all of the results are in range of 0.0056 to 0.1167 which is far from 1.000. This means, the proposed exam question and previous exam questions mostly are not similar. Only the same questions that are compared together produce 1.000 similarities which mean it is absolutely the same. This is proven by the result given by the system. IACEQ system can ease a lot of the lecturer task, saves their times and energy, but with some improvements. The hope is that the system can give benefit to the education field and help to reduce lecturer task.
format	Thesis
qualification_level	Bachelor degree
author	Kamarudin, Nur Amalina
author_facet	Kamarudin, Nur Amalina
author_sort	Kamarudin, Nur Amalina
title	Intelligent agent for checking examination questions (IACEQ) / Nur Amalina Kamarudin
title_short	Intelligent agent for checking examination questions (IACEQ) / Nur Amalina Kamarudin
title_full	Intelligent agent for checking examination questions (IACEQ) / Nur Amalina Kamarudin
title_fullStr	Intelligent agent for checking examination questions (IACEQ) / Nur Amalina Kamarudin
title_full_unstemmed	Intelligent agent for checking examination questions (IACEQ) / Nur Amalina Kamarudin
title_sort	intelligent agent for checking examination questions (iaceq) / nur amalina kamarudin
granting_institution	Universiti Teknologi MARA, Perak
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2014
url	https://ir.uitm.edu.my/id/eprint/64850/2/64850.pdf
_version_	1783735520943144960

Intelligent agent for checking examination questions (IACEQ) / Nur Amalina Kamarudin

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