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A rough sets supported web-based e-assessment model

MUCEET 2009 is organized by Malaysian Technical Universities Network (MTUN) comprising of Universiti Malaysia Perlis (UniMAP), Universiti Tun Hussein Onn (UTHM), Universiti Teknikal Melaka (UTeM) and Universiti Malaysia Pahang (UMP), 20th - 22nd June 2009 at M. S. Garden Hotel, Kuantan, Pahang.

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Bibliographic Details
Main Authors: Yun-Huoy, Choo, Azah Kamilah, Muda
Format: Working Paper
Language:English
Published: Universiti Malaysia Pahang (UMP) 2010
Subjects:
E-assessment
Rough sets theory
Association rules mining
Malaysian Technical Universities Conference on Engineering and Technology (MUCEET)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/8631
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spelling my.unimap-86312010-08-12T08:34:43Z A rough sets supported web-based e-assessment model Yun-Huoy, Choo Azah Kamilah, Muda E-assessment Rough sets theory Association rules mining Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) MUCEET 2009 is organized by Malaysian Technical Universities Network (MTUN) comprising of Universiti Malaysia Perlis (UniMAP), Universiti Tun Hussein Onn (UTHM), Universiti Teknikal Melaka (UTeM) and Universiti Malaysia Pahang (UMP), 20th - 22nd June 2009 at M. S. Garden Hotel, Kuantan, Pahang. The introduction of World Wide Web and information technology has driven the development of conventional electronic teaching and learning into a new era of web-based learning. Similarly, e-assessment as an important component of e-learning model has been researched in intensively. One of the critical challenges of e-assessment lies in the inadequacy of intelligence feature that can mimic human instructor in making decision. This is important especially in monitoring the learning path that tailored to distinct users with different behaviors. Thus, this research has proposed an e-assessment model supported by rough sets technique to provide adaptive respond to user request on test creation, result grading and providing appropriate feedback and recommendation. Rough classification modeling and association rules mining models were proposed to induce decision rule as the knowledge based in the proposed model. 2010-08-12T08:34:43Z 2010-08-12T08:34:43Z 2009-06-20 Working Paper http://hdl.handle.net/123456789/8631 en Proceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) 2009 Universiti Malaysia Pahang (UMP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic E-assessment
Rough sets theory
Association rules mining
Malaysian Technical Universities Conference on Engineering and Technology (MUCEET)
spellingShingle E-assessment
Rough sets theory
Association rules mining
Malaysian Technical Universities Conference on Engineering and Technology (MUCEET)
Yun-Huoy, Choo
Azah Kamilah, Muda
A rough sets supported web-based e-assessment model
description MUCEET 2009 is organized by Malaysian Technical Universities Network (MTUN) comprising of Universiti Malaysia Perlis (UniMAP), Universiti Tun Hussein Onn (UTHM), Universiti Teknikal Melaka (UTeM) and Universiti Malaysia Pahang (UMP), 20th - 22nd June 2009 at M. S. Garden Hotel, Kuantan, Pahang.
format Working Paper
author Yun-Huoy, Choo
Azah Kamilah, Muda
author_facet Yun-Huoy, Choo
Azah Kamilah, Muda
author_sort Yun-Huoy, Choo
title A rough sets supported web-based e-assessment model
title_short A rough sets supported web-based e-assessment model
title_full A rough sets supported web-based e-assessment model
title_fullStr A rough sets supported web-based e-assessment model
title_full_unstemmed A rough sets supported web-based e-assessment model
title_sort rough sets supported web-based e-assessment model
publisher Universiti Malaysia Pahang (UMP)
publishDate 2010
url http://dspace.unimap.edu.my/xmlui/handle/123456789/8631
_version_ 1643789274771881984
score 13.222552

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