Exam question construction from data source based on bloom’s taxonomy using information retrieval and knowledge extraction / Azizulaimran Kamsol

Exam Question Construction System (EQC-SYS) is a system that is able to create and manage examination questions that are stored in the database. The system is able to create exam questions automatically according to the topic and other options available. This sources of information required to creat...

Full description

Bibliographic Details
Main Author:	Kamsol, Azizulaimran
Format:	Thesis
Language:	English
Published:	2017
Online Access:	http://ir.uitm.edu.my/id/eprint/18139/ http://ir.uitm.edu.my/id/eprint/18139/2/TD_AZIZULAIMRAN%20KAMSOL%20CS%2017_5.pdf

id	uitm-18139
recordtype	eprints
spelling	uitm-181392019-02-27T07:41:49Z http://ir.uitm.edu.my/id/eprint/18139/ Exam question construction from data source based on bloom’s taxonomy using information retrieval and knowledge extraction / Azizulaimran Kamsol Kamsol, Azizulaimran Exam Question Construction System (EQC-SYS) is a system that is able to create and manage examination questions that are stored in the database. The system is able to create exam questions automatically according to the topic and other options available. This sources of information required to create the exam questions are all obtained from the data sources such as slide notes that has been cleaned prior according to the template and format to assist the next process. This is done by applying Information Retrieval (IR) and Knowledge Extraction (KE). IR is the task of obtaining information resources such as documents that is related to the information needed from a collection of information resources using searching method that can be based on metadata or fulltext indexing. KE is the creation of knowledge either from structured or unstructured sources. An example of structured sources is relational databases while an example of unstructured sources is documents. The system is able to generate sets of exam paper together with its respective answers from the questions stored in the database. The system is developed to reduce the problem of using a lot of time just to create exam questions for an exam, the problem of maintaining the quality of questions created by referring to the cognitive level of Bloom’s Taxonomy and also the problem of balancing the questions according to the TST created by the resource person (RP). The system is developed according to the revised waterfall methodology and it will only cover one course only, which is Fundamentals of Information Systems (ITS410). The type of questions that are being stored in the database is short answer questions. The developed system is able to minimize the problem, assist the managing and creation of exam questions process and also reduce the time for the previous tasks. 2017 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/18139/2/TD_AZIZULAIMRAN%20KAMSOL%20CS%2017_5.pdf Kamsol, Azizulaimran (2017) Exam question construction from data source based on bloom’s taxonomy using information retrieval and knowledge extraction / Azizulaimran Kamsol. Degree thesis, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
description	Exam Question Construction System (EQC-SYS) is a system that is able to create and manage examination questions that are stored in the database. The system is able to create exam questions automatically according to the topic and other options available. This sources of information required to create the exam questions are all obtained from the data sources such as slide notes that has been cleaned prior according to the template and format to assist the next process. This is done by applying Information Retrieval (IR) and Knowledge Extraction (KE). IR is the task of obtaining information resources such as documents that is related to the information needed from a collection of information resources using searching method that can be based on metadata or fulltext indexing. KE is the creation of knowledge either from structured or unstructured sources. An example of structured sources is relational databases while an example of unstructured sources is documents. The system is able to generate sets of exam paper together with its respective answers from the questions stored in the database. The system is developed to reduce the problem of using a lot of time just to create exam questions for an exam, the problem of maintaining the quality of questions created by referring to the cognitive level of Bloom’s Taxonomy and also the problem of balancing the questions according to the TST created by the resource person (RP). The system is developed according to the revised waterfall methodology and it will only cover one course only, which is Fundamentals of Information Systems (ITS410). The type of questions that are being stored in the database is short answer questions. The developed system is able to minimize the problem, assist the managing and creation of exam questions process and also reduce the time for the previous tasks.
format	Thesis
author	Kamsol, Azizulaimran
spellingShingle	Kamsol, Azizulaimran Exam question construction from data source based on bloom’s taxonomy using information retrieval and knowledge extraction / Azizulaimran Kamsol
author_facet	Kamsol, Azizulaimran
author_sort	Kamsol, Azizulaimran
title	Exam question construction from data source based on bloom’s taxonomy using information retrieval and knowledge extraction / Azizulaimran Kamsol
title_short	Exam question construction from data source based on bloom’s taxonomy using information retrieval and knowledge extraction / Azizulaimran Kamsol
title_full	Exam question construction from data source based on bloom’s taxonomy using information retrieval and knowledge extraction / Azizulaimran Kamsol
title_fullStr	Exam question construction from data source based on bloom’s taxonomy using information retrieval and knowledge extraction / Azizulaimran Kamsol
title_full_unstemmed	Exam question construction from data source based on bloom’s taxonomy using information retrieval and knowledge extraction / Azizulaimran Kamsol
title_sort	exam question construction from data source based on bloom’s taxonomy using information retrieval and knowledge extraction / azizulaimran kamsol
publishDate	2017
url	http://ir.uitm.edu.my/id/eprint/18139/ http://ir.uitm.edu.my/id/eprint/18139/2/TD_AZIZULAIMRAN%20KAMSOL%20CS%2017_5.pdf
first_indexed	2023-09-18T22:59:51Z
last_indexed	2023-09-18T22:59:51Z
_version_	1777418099933315072

Exam question construction from data source based on bloom’s taxonomy using information retrieval and knowledge extraction / Azizulaimran Kamsol

Similar Items