Rough Set Rules Extraction for Student Programming Skills

Programming is a critical subject to computer science or information technology students. It is one of the fundamental skills they need to acquire during study. The aim of the study is to generate a compact set of rules using real data to predict student's performance. Not all variables as usua...

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Main Author: Kerwad, Mokhtar Massoud
Format: Thesis
Language:en
en
Published: 2006
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Online Access:https://etd.uum.edu.my/1848/1/Mokhtar_Massoud_Kerwad_-_Rough_set_extraction_for_student_programming_skills.pdf
https://etd.uum.edu.my/1848/2/Mokhtar_Massoud_Kerwad_-_Rough_set_extraction_for_student_programming_skills.pdf
https://etd.uum.edu.my/1848/
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author Kerwad, Mokhtar Massoud
author_facet Kerwad, Mokhtar Massoud
author_sort Kerwad, Mokhtar Massoud
building UUM Library
collection Institutional Repository
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
continent Asia
country Malaysia
description Programming is a critical subject to computer science or information technology students. It is one of the fundamental skills they need to acquire during study. The aim of the study is to generate a compact set of rules using real data to predict student's performance. Not all variables as usual if good results are to be obtained. Data mining refers to one of the phases or step within the knowledge discovery in databases (KDD) processes for extracting used rough set technique. The extracted rules will be a measurement of the students' performance in programming and give the insight to educators on what should be help the students to master programming skills.
format Thesis
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institution Universiti Utara Malaysia
language en
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publishDate 2006
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spelling my.uum.etd-18482013-07-24T12:13:23Z https://etd.uum.edu.my/1848/ Rough Set Rules Extraction for Student Programming Skills Kerwad, Mokhtar Massoud QA76 Computer software Programming is a critical subject to computer science or information technology students. It is one of the fundamental skills they need to acquire during study. The aim of the study is to generate a compact set of rules using real data to predict student's performance. Not all variables as usual if good results are to be obtained. Data mining refers to one of the phases or step within the knowledge discovery in databases (KDD) processes for extracting used rough set technique. The extracted rules will be a measurement of the students' performance in programming and give the insight to educators on what should be help the students to master programming skills. 2006 Thesis NonPeerReviewed application/pdf en https://etd.uum.edu.my/1848/1/Mokhtar_Massoud_Kerwad_-_Rough_set_extraction_for_student_programming_skills.pdf application/pdf en https://etd.uum.edu.my/1848/2/Mokhtar_Massoud_Kerwad_-_Rough_set_extraction_for_student_programming_skills.pdf Kerwad, Mokhtar Massoud (2006) Rough Set Rules Extraction for Student Programming Skills. Masters thesis, Universiti Utara Malaysia.
spellingShingle QA76 Computer software
Kerwad, Mokhtar Massoud
Rough Set Rules Extraction for Student Programming Skills
title Rough Set Rules Extraction for Student Programming Skills
title_full Rough Set Rules Extraction for Student Programming Skills
title_fullStr Rough Set Rules Extraction for Student Programming Skills
title_full_unstemmed Rough Set Rules Extraction for Student Programming Skills
title_short Rough Set Rules Extraction for Student Programming Skills
title_sort rough set rules extraction for student programming skills
topic QA76 Computer software
url https://etd.uum.edu.my/1848/1/Mokhtar_Massoud_Kerwad_-_Rough_set_extraction_for_student_programming_skills.pdf
https://etd.uum.edu.my/1848/2/Mokhtar_Massoud_Kerwad_-_Rough_set_extraction_for_student_programming_skills.pdf
https://etd.uum.edu.my/1848/
url_provider http://etd.uum.edu.my/